Erika Kinsey

Född: 10 mars 1988

Ålder: 32 år 313 dagar

Tidigare namn: Wiklund

Förening:
 Trångsvikens IF
 

  • IVM-sjua höjd 2018
    IVM-åtta höjd 2016
  •  2 SM‐guld, 4 SM‐silver, 5 SM‐brons
  •  3 ISM‐guld, 2 ISM‐silver, 1 ISM‐brons

Inom parentes efter årsbästa: topp-100-placeringen på världsbästalistan.
Grön parentes: topp-100-placering på världsbästalistan i 19-årsklassen.
Orange parentes: topp-100-placering på världsbästalistan i 17-årsklassen.

2021

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2021-1 ELSE 2021 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2021 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

Inga resultat 2021. Senaste resultatet är från 2020.

2020

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2020-1 ELSE 2020 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2020 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

800 m (1)
Överlång bana - odoserad:
2:36.53i
  Youngstown, OHYoungstown, OH1.2.20
60 m häck (1)
9.07i
SB  Youngstown, OHYoungstown, OH1.2.20
Höjd (11)
1.86i
SB  Youngstown, OHYoungstown, OH1.2.20
1.92i
SB (13) (1)Winston-Salem, NCWinston-Salem, NC8.2.20
 
1.75
O
1.80
O
1.83
O
1.86
O
1.89
XO
1.92
XXO
1.94
XXX
 
1.92i
=SB (13) (1)Winston-Salem, NCWinston-Salem, NC8.2.20
 
1.75
O
1.80
O
1.83
O
1.86
O
1.89
XO
1.92
XXO
1.94
XXX
 
1.86i
  Albuquerque, NMAlbuquerque, NM14.2.20
 
1.75
O
1.78
O
1.81
O
1.86
O
1.90
XXX
   
1.92
SB  FGPSollentunaFGP, Sollentuna10.8.20
 
1.74
O
1.78
O
1.82
O
1.85
O
1.88
O
1.90
O
1.92
O
1.95
XXX
1.95
SB (6) SMUppsalaSM, Uppsala15.8.20
 
1.73
O
1.77
O
1.80
O
1.85
O
1.87
O
1.89
O
1.91
O
1.95
O
1.98
XXX
       
1.93
  BauhausStockholm/SBauhaus, Stockholm/S23.8.20
 
1.75
O
1.80
O
1.84
O
1.87
O
1.90
XXO
1.93
XXO
1.96
XXX
 
1.87
  FGPGöteborg/SFGP, Göteborg/S29.8.20
 
1.75
O
1.80
O
1.84
O
1.87
O
1.90
XXX
   
1.88
  VDBruxelles, BELVD, Bruxelles, BEL4.9.20
 
1.80
O
1.84
O
1.88
XO
1.91
XXX
    
1.84
  Heusden, BELHeusden, BEL6.9.20
 
1.75
O
1.80
O
1.84
XO
1.88
XXX
    
1.90
  HanžekovićZagreb, CROHanžeković, Zagreb, CRO15.9.20
 
1.78
O
1.81
O
1.84
O
1.87
O
1.90
O
1.93
XXX
  
1.95
=SB  GGalaRoma, ITAGGala, Roma, ITA17.9.20
 
1.75
O
1.80
O
1.84
O
1.88
XO
1.92
XXO
1.95
XO
1.98
XXX
 
Längd (1)
6.12i
SB  (8)Youngstown, OHYoungstown, OH1.2.20
 
5.855.826.12
Kula (1)
10.95i
PB  Youngstown, OHYoungstown, OH1.2.20
Femkamp (1)
Överlång bana - odoserad:
4.041
  (2)Youngstown, OHYoungstown, OH1.2.20
9.07   1.86   10.95   6.12   2:36.53   

2019

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2019-1 ELSE 2019 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2019 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

Höjd (25)
1.90i
SB  Lexington, KYLexington, KY12.1.19
 
1.71
O
1.76
O
1.81
O
1.84
O
1.87
---
1.90
XXO
1.94
XXX
 
1.85i
  Youngstown, OHYoungstown, OH18.1.19
 
1.71
O
1.74
O
1.80
O
1.85
O
1.91
XXX
   
1.92i
SB  Cottbus, GERCottbus, GER30.1.19
 
1.75
O
1.80
O
1.84
O
1.88
O
1.90
O
1.92
XO
1.94
XXX
 
1.92i
=SB  Cottbus, GERCottbus, GER30.1.19
 
1.75
O
1.80
O
1.84
O
1.88
O
1.90
O
1.92
XO
1.94
XXX
 
1.84i
  Brno, CZEBrno, CZE6.2.19
 
1.76
O
1.80
O
1.84
O
1.87
XXX
    
1.90i
  v3NatNadderud, NORv3Nat, Nadderud, NOR10.2.19
 
1.75
O
1.80
O
1.84
O
1.87
O
1.90
XXO
1.94
XXX
  
1.88i
  ISMNorrköpingISM, Norrköping17.2.19
 
1.76
O
1.80
O
1.83
O
1.86
O
1.88
O
1.90
XXX
  
1.87i
  KarlstadKarlstad20.2.19
1.93i
=PB (19) (1)IEMGlasgow, GBRIEM, Glasgow, GBR1.3.19
 
1.75
O
1.81
O
1.85
XO
1.89
XXO
1.93
XO
   
1.91i
  IEMGlasgow, GBRIEM, Glasgow, GBR3.3.19
 
1.79
O
1.83
O
1.87
O
1.91
O
1.94
XXX
   
1.85
SB  MSRTorrance, CAMSR, Torrance, CA20.4.19
 
1.70
O
1.75
O
1.80
O
1.85
O
1.88
XXX
   
1.77
  DrakeRDes Moines, IADrakeR, Des Moines, IA27.4.19
 
1.77
XO
1.82
XXX
      
1.91
SB  Doha, QATDoha, QAT3.5.19
 
1.75
O
1.80
O
1.85
O
1.88
O
1.91
O
1.94
XXX
  
1.91
=SB  Doha, QATDoha, QAT3.5.19
 
1.75
O
1.80
O
1.85
O
1.88
O
1.91
O
1.94
XXX
  
1.94
SB  Torremolinos, ESPTorremolinos, ESP23.5.19
 
1.79
O
1.85
O
1.90
XO
1.92
XO
1.94
XXO
   
1.90
  BauhausStockholm/SBauhaus, Stockholm/S30.5.19
 
1.78
XO
1.83
O
1.87
XO
1.90
XXO
1.92
XXX
   
1.96
SB (11) (1)FBKGHengelo, NEDFBKG, Hengelo, NED9.6.19
 
1.80
O
1.85
O
1.88
O
1.91
O
1.94
O
1.96
XXO
1.98
XXX
 
1.96
=SB (11) (1)FBKGHengelo, NEDFBKG, Hengelo, NED9.6.19
 
1.80
O
1.85
O
1.88
O
1.91
O
1.94
O
1.96
XXO
1.98
XXX
 
1.96
=SB  BislettGOslo, NORBislettG, Oslo, NOR13.6.19
 
1.80
O
1.85
O
1.88
O
1.91
O
1.94
XO
1.96
XXO
1.98
XXX
 
1.94
  GSpikeOstrava, CZEGSpike, Ostrava, CZE20.6.19
 
1.80
O
1.85
O
1.90
O
1.92
O
1.94
XXO
1.96
XX
1.98
X
 
1.95
  PrePalo Alto, CAPre, Palo Alto, CA30.6.19
 
1.79
O
1.84
O
1.88
O
1.92
O
1.95
XXO
1.98
XXX
  
1.91
  AthletissimaLausanne, SUIAthletissima, Lausanne, SUI5.7.19
 
1.79
O
1.84
O
1.88
O
1.91
O
1.94
XXX
   
1.85
  HercMonaco, MONHerc, Monaco, MON12.7.19
 
1.85
O
1.90
XXX
      
1.94
  Lag-EM Super LBydgoszcz, POLLag-EM Super L, Bydgoszcz, POL11.8.19
 
1.75
O
1.80
O
1.85
O
1.90
O
1.94
O
1.97
XXX
  
1.90
  vFINStockholm/SvFIN, Stockholm/S24.8.19
 
1.74
O
1.78
O
1.81
O
1.86
O
1.90
O
1.94
XXX
  
1.88
  SMKarlstadSM, Karlstad31.8.19
 
1.76
O
1.79
O
1.82
O
1.84
O
1.86
O
1.88
XO
1.92
XX-
 
1.85
  VDBruxelles, BELVD, Bruxelles, BEL6.9.19
 
1.80
O
1.85
O
1.89
XXX
     
1.85
  VMDoha, QATVM, Doha, QAT27.9.19
 
1.80
O
1.85
O
1.89
XXX
     
Längd (13)
6.18i
PB  Lexington, KYLexington, KY12.1.19
 
X6.04X6.18X6.13
6.35i
PB (58) (3)Youngstown, OHYoungstown, OH18.1.19
 
XX6.056.156.35
6.33i
  ISMNorrköpingISM, Norrköping16.2.19
 
6.075.876.146.336.234.58
6.47
PB  Long Beach, CALong Beach, CA18.4.19+0.1
 
6.47
+0.1
4.88
+1.9
4.86
+1.7
5.01
+1.1
6.44
+1.4
X
+2.2
6.43
  MSRTorrance, CAMSR, Torrance, CA20.4.19+1.7
6.44w
  MSRTorrance, CAMSR, Torrance, CA20.4.19+2.5
 
6.27
+0.4
6.44
+2.5
6.43
+1.7
XXX
6.51
PB (80) (3)Torremolinos, ESPTorremolinos, ESP23.5.19+1.2
 
X6.45
+3.5
6.31
+1.4
5.04
+1.8
X6.51
+1.2
6.44
  Málaga, ESPMálaga, ESP27.5.19-0.9
 
6.38
+1.8
X
+0.9
6.44
-0.9
6.44
+1.1
4.83
+0.8
X
+2.2
6.08
  FGPVarbergFGP, Varberg15.7.19-1.2
 
4.45
-0.3
X6.04
-0.6
6.066.04
+0.3
6.08
-1.2
6.29
  Lag-EM Super LBydgoszcz, POLLag-EM Super L, Bydgoszcz, POL11.8.19-1.6
 
6.26
+0.3
6.29
-1.6
X
+1.7
6.41
  Folksam GPGöteborg/SFolksam GP, Göteborg/S16.8.19+0.3
 
4.61
+0.4
X
-0.1
X
-0.2
6.41
+0.3
6.35
+0.4
6.21
+0.7
6.00
  vFINStockholm/SvFIN, Stockholm/S24.8.19-1.1
 
X
+1.0
6.00
-1.1
X
+1.5
6.00
  SMKarlstadSM, Karlstad30.8.19+0.9
 
6.00
+0.9
6.14
  SMKarlstadSM, Karlstad31.8.19-1.5
 
6.05
+0.4
X
-0.1
6.00
+0.5
6.04
-0.9
6.14
-1.5
6.14
-1.4

2018

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2018-1 ELSE 2018 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2018 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

Höjd (26)
1.88i
SB  University Park, PAUniversity Park, PA27.1.18
 
1.76
O
1.79
O
1.82
O
1.85
O
1.88
XXO
1.90
XXX
  
1.85i
  MillroseNew York, NYMillrose, New York, NY3.2.18
 
1.75
O
1.80
O
1.85
O
1.90
XXX
    
1.91i
SB  New BalanceBoston, MANew Balance, Boston, MA10.2.18
 
1.80
O
1.85
O
1.88
O
1.91
XXO
1.94
XXX
   
1.91i
=SB  New BalanceBoston, MANew Balance, Boston, MA10.2.18
 
1.80
O
1.85
O
1.88
O
1.91
XXO
1.94
XXX
   
1.90i
  Toruń, POLToruń, POL15.2.18
 
1.80
O
1.85
XO
1.90
O
1.95
XXX
    
1.92i
SB (12) (1)ISMGävleISM, Gävle18.2.18
1.84i
  MüllerGlasgow, GBRMüller, Glasgow, GBR25.2.18
 
1.80
O
1.84
O
1.88
XXX
     
1.84i
  IVMBirmingham, GBRIVM, Birmingham, GBR1.3.18
 
1.84
O
1.89
XXX
      
1.86
SB  TexasRAustin, TXTexasR, Austin, TX31.3.18
 
1.75
O
1.80
O
1.83
O
1.86
XO
1.89
XXX
   
1.85
  DrakeRDes Moines, IADrakeR, Des Moines, IA27.4.18
 
1.77
O
1.82
O
1.85
O
1.88
XXX
    
1.93
SB  Akron, OHAkron, OH5.5.18
 
1.74
O
1.78
O
1.82
O
1.87
O
1.90
O
1.93
XXO
1.95
XXX
 
1.80
  DiamondShanghai, CHNDiamond, Shanghai, CHN12.5.18
 
1.80
XO
1.85
XXX
      
1.91
  FBKGHengelo, NEDFBKG, Hengelo, NED3.6.18
 
1.75
O
1.80
O
1.85
O
1.88
O
1.91
O
1.94
XXX
  
1.94
SB (15) (1)Zoetermeer, NEDZoetermeer, NED6.6.18
1.94
=SB  BauhausStockholm/SBauhaus, Stockholm/S10.6.18
 
1.80
O
1.85
O
1.90
XO
1.94
XO
1.97
XXX
   
1.92
  Tübingen, GERTübingen, GER16.6.18
 
1.75
O
1.80
O
1.85
XO
1.90
XXO
1.92
XO
1.94
XXX
  
1.90
  Bühl, GERBühl, GER22.6.18
 
1.74
O
1.78
O
1.82
O
1.86
XO
1.90
O
1.93
XXX
  
1.91
  FGPSollentunaFGP, Sollentuna28.6.18
 
1.83
O
1.87
O
1.91
XXO
1.95
XXX
    
1.90
  Meet ParisParis, FRAMeet Paris, Paris, FRA30.6.18
 
1.80
O
1.85
O
1.90
O
1.94
XXX
    
1.90
  Oslo, NOROslo, NOR5.7.18
 
1.76
O
1.81
O
1.85
XO
1.90
XO
1.93
XXX
   
1.91
  MüllerLondon, GBRMüller, London, GBR22.7.18
 
1.79
O
1.83
O
1.87
XO
1.91
O
1.95
XXX
   
1.90
  EMBerlin, GEREM, Berlin, GER8.8.18
 
1.76
O
1.81
O
1.86
O
1.90
XXO
1.92
R
   
1.87
  EMBerlin, GEREM, Berlin, GER10.8.18
 
1.82
O
1.87
XXO
1.91
XXX
     
1.84
  Göteborg/SGöteborg/S18.8.18
 
1.80
O
1.84
O
1.88
XXX
     
1.94
=SB  Eberstadt, GEREberstadt, GER25.8.18
 
1.75
O
1.80
O
1.84
O
1.88
XXO
1.91
O
1.94
XXO
1.96
XXX
 
1.90
  WKZürich, SUIWK, Zürich, SUI30.8.18
 
1.80
O
1.85
XO
1.90
O
1.94
XXX
    
1.90
  vFINTampere, FINvFIN, Tampere, FIN1.9.18
 
1.76
O
1.81
O
1.85
O
1.88
O
1.90
O
1.94
XXX
  
Längd (3)
NM
  TexasRAustin, TXTexasR, Austin, TX31.3.18
 
XXX
6.26
=SB  Akron, OHAkron, OH5.5.18+0.3
6.32w
  Akron, OHAkron, OH5.5.18+2.2
 
X
+3.1
X
+1.2
6.27
+2.5
6.26
+0.3
6.32
+2.2
6.18
-0.4
6.29
PB  (5)Oslo, NOROslo, NOR5.7.18+1.2

2017

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2017-1 ELSE 2017 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2017 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

Höjd (15)
1.81i
SB  (5)Akron, OHAkron, OH4.2.17
1.85
SB  Kingston, JAMKingston, JAM20.5.17
1.92
SB  LundLund10.6.17
1.84
  PNGTurku, FINPNG, Turku, FIN13.6.17
 
1.74
O
1.79
O
1.84
XXO
1.88
XXX
    
1.90
  BauhausStockholm/SBauhaus, Stockholm/S18.6.17
 
1.80
O
1.85
O
1.90
XO
1.94
XXX
    
1.92
=SB  Bühl, GERBühl, GER30.6.17
1.91
  Sotteville-lès-Rouen, FRASotteville-lès-Rouen, FRA7.7.17
 
1.80
O
1.85
O
1.88
O
1.91
O
1.94
XXX
   
1.94
SB (14) (1)MüllerLondon, GBRMüller, London, GBR9.7.17
 
1.80
O
1.85
O
1.90
O
1.94
O
1.97
XXX
   
1.85
  HercMonaco, MONHerc, Monaco, MON21.7.17
 
1.80
O
1.85
O
1.90
XXX
     
1.89
  FGPKarlstadFGP, Karlstad25.7.17
 
1.77
O
1.81
XO
1.85
O
1.89
O
1.92
XXX
   
1.85
  VMLondon, GBRVM, London, GBR10.8.17
 
1.80
O
1.85
O
1.89
XXX
     
1.85
  SMHelsingborgSM, Helsingborg27.8.17
 
1.75
O
1.79
O
1.82
O
1.85
O
1.87
X
1.89
XX
  
1.88
  HanžekovićZagreb, CROHanžeković, Zagreb, CRO29.8.17
 
1.75
O
1.80
O
1.84
XO
1.88
O
1.91
XXX
   
1.80
  VDBruxelles, BELVD, Bruxelles, BEL1.9.17
 
1.80
O
1.84
XXX
      
1.89
  vFINStockholm/SvFIN, Stockholm/S3.9.17
 
1.77
O
1.80
O
1.83
O
1.85
XXO
1.87
XXO
1.89
XXO
1.91
XXX
 
Tresteg (1)
12.99i
PB  (3)New BalanceBoston, MANew Balance, Boston, MA28.1.17
 
11.5012.79X12.99

2016

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2016-1 ELSE 2016 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2016 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

Höjd (14)
1.87i
SB  Zips InvAkron, OHZips Inv, Akron, OH19.2.16
1.85i
  Staten Island, NYStaten Island, NY27.2.16
1.93i
PB (15) (2)IVMPortland, ORIVM, Portland, OR20.3.16
 
1.84
O
1.89
XXO
1.93
XXO
1.96
XXX
    
1.90
SB (41) (2)Clermont, FLClermont, FL14.5.16
1.87
  LundLund4.6.16
1.85
  BislettOslo, NORBislett, Oslo, NOR9.6.16
 
1.80
O
1.85
XXO
1.90
XXX
     
NH
  BauhausStockholm/SBauhaus, Stockholm/S16.6.16
 
1.81
XXX
       
1.87
  Madrid, ESPMadrid, ESP23.6.16
 
1.73
O
1.78
O
1.83
O
1.87
XO
1.90
XXX
   
1.87
  Murcia, ESPMurcia, ESP26.6.16
 
1.72
O
1.77
O
1.82
XXO
1.87
O
1.90
XXX
   
1.90
=SB  Sierra Nevada, ESPSierra Nevada, ESP2.7.16
 
1.80
XO
1.85
XXO
1.90
O
1.93
XXX
    
1.85
  EMAmsterdam, NEDEM, Amsterdam, NED6.7.16
 
1.75
O
1.80
O
1.85
XXO
1.89
XXX
    
1.87
  Eberstadt, GEREberstadt, GER16.7.16
 
1.75
O
1.80
O
1.84
XXO
1.87
XXO
1.90
XXX
   
1.83
  FGPKarlstadFGP, Karlstad27.7.16
1.85
  OSRio de Janeiro, BRAOS, Rio de Janeiro, BRA18.8.16
 
1.80
O
1.85
O
1.89
XXX
     
Tresteg (1)
12.60
SB  SMSollentunaSM, Sollentuna26.8.16+1.5
 
11.46
+1.6
12.60
+1.5
12.54
+0.9
12.30
+0.6
X
+0.8
12.52
+1.6

2015

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2015-1 ELSE 2015 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2015 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

800 m (1)
2:27.71i
PB  Crete, NECrete, NE11.12.14
60 m häck (2)
9.17i
SB  Crete, NECrete, NE11.12.14
9.00i
SB  Warrensburg, MOWarrensburg, MO30.1.15
Höjd (18)
1.79i
SB  Crete, NECrete, NE11.12.14
1.90i
PB (28) (1)MuleRWarrensburg, MOMuleR, Warrensburg, MO30.1.15
1.85i
  Allendale, MIAllendale, MI13.2.15
1.82i
  Warrensburg, MOWarrensburg, MO28.2.15
1.90i
=PB  NCAA-IIBirmingham, ALNCAA-II, Birmingham, AL14.3.15
 
1.73
O
1.76
O
1.79
O
1.85
O
1.90
XXO
1.92
XXX
  
1.88
SB  ClassicPittsburg, KSClassic, Pittsburg, KS11.4.15
 
1.75
O
1.80
O
1.85
XO
1.88
O
    
1.84
  DrakeRDes Moines, IADrakeR, Des Moines, IA24.4.15
1.92
PB  MIAASt. Charles, MOMIAA, St. Charles, MO3.5.15
1.86
  NCAA-IIAllendale, MINCAA-II, Allendale, MI22.5.15
1.97
PB (7) (1)Lag-EM Super LCheboksary, RUSLag-EM Super L, Cheboksary, RUS21.6.15
 
1.75
O
1.80
O
1.84
O
1.88
O
1.91
O
1.94
XO
1.97
XXO
1.99
X
1.94
  AthletissimaLausanne, SUIAthletissima, Lausanne, SUI9.7.15
 
1.80
O
1.85
O
1.88
O
1.91
XO
1.94
XXO
1.97
XXX
  
1.91
  HercMonaco, MONHerc, Monaco, MON17.7.15
 
1.80
O
1.86
O
1.91
XO
1.94
XXX
    
1.94
  FGPKarlstadFGP, Karlstad22.7.15
 
1.80
O
1.83
O
1.86
O
1.90
XO
1.94
XO
1.98
XXX
  
1.83
  BauhausStockholm/SBauhaus, Stockholm/S30.7.15
 
1.79
XO
1.83
O
1.86
XXX
     
1.92
  SMSöderhamnSM, Söderhamn9.8.15
 
1.80
O
1.83
O
1.86
XO
1.88
O
1.90
O
1.92
O
1.94
XXX
 
1.89
  VMBeijing, CHNVM, Beijing, CHN27.8.15
 
1.80
O
1.85
XO
1.89
O
1.92
XXX
    
1.85
  VDBruxelles, BELVD, Bruxelles, BEL11.9.15
 
1.80
XO
1.85
O
1.90
XXX
     
1.83
  vFINStockholm/SvFIN, Stockholm/S13.9.15
 
1.75
O
1.79
O
1.83
XO
1.86
XXX
    
Längd (8)
5.87i
SB  Crete, NECrete, NE11.12.14
5.91i
SB  Warrensburg, MOWarrensburg, MO23.1.15
6.14i
PB  (5)Lion InvJoplin, MOLion Inv, Joplin, MO6.2.15
6.01i
  Warrensburg, MOWarrensburg, MO28.2.15
6.05i
  NCAA-IIBirmingham, ALNCAA-II, Birmingham, AL13.3.15
5.91
SB  ESUREmporia, KSESUR, Emporia, KS4.4.15+1.5
6.02w
  ESUREmporia, KSESUR, Emporia, KS4.4.15+2.5
6.17
PB  MIAASt. Charles, MOMIAA, St. Charles, MO2.5.15+0.4
6.28
PB  (4)NCAA-IIAllendale, MINCAA-II, Allendale, MI21.5.15+1.9
6.46w
  NCAA-IIAllendale, MINCAA-II, Allendale, MI21.5.15+2.2
 
4.68
+1.4
6.46
+2.2
6.28
+1.9
XX6.44
+2.3
Tresteg (7)
12.93i
PB  (2)Lion InvJoplin, MOLion Inv, Joplin, MO7.2.15
12.53i
  Allendale, MIAllendale, MI13.2.15
12.59i
  Warrensburg, MOWarrensburg, MO27.2.15
12.93i
=PB  NCAA-IIBirmingham, ALNCAA-II, Birmingham, AL14.3.15
12.20
SB  ESUREmporia, KSESUR, Emporia, KS4.4.15+1.9
12.35w
  ESUREmporia, KSESUR, Emporia, KS4.4.15+2.1
13.11
PB  (1)MIAASt. Charles, MOMIAA, St. Charles, MO3.5.15+1.1
12.87
  NCAA-IIAllendale, MINCAA-II, Allendale, MI23.5.15+1.0
13.02w
  NCAA-IIAllendale, MINCAA-II, Allendale, MI23.5.15+2.3
Kula (1)
9.30i
SB  Crete, NECrete, NE11.12.14
Femkamp (1)
3.857
WL SB  (5)Crete, NECrete, NE11.12.14
9.17   1.79   9.30   5.87   2:27.71   

2014

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2014-1 ELSE 2014 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2014 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

200 m (2)
26.70w
  Dallas, TXDallas, TX24.5.14+3.2
26.70w
  Dallas, TXDallas, TX24.5.14+3.2
100 m häck (2)
14.96
SB  Emporia, KSEmporia, KS5.4.140.0
15.23
  Dallas, TXDallas, TX24.5.14+0.1
Höjd (9)
1.88i
PB (39) (2)Lion InvJoplin, MOLion Inv, Joplin, MO1.2.14
1.83i
  MuleRWarrensburg, MOMuleR, Warrensburg, MO7.2.14
1.88
SB (59) (2)MissouriRColumbia, MOMissouriR, Columbia, MO12.4.14
 
1.69
O
1.74
O
1.80
O
1.84
XO
1.88
XXO
1.90
XXX
  
1.83
  DrakeRDes Moines, IADrakeR, Des Moines, IA26.4.14
1.83
  Dallas, TXDallas, TX24.5.14
1.81
  FGPKarlstadFGP, Karlstad16.7.14
 
1.70
O
1.74
O
1.78
XO
1.81
XXO
1.84
XXX
   
NH
  JoensuuGJoensuu, FINJoensuuG, Joensuu, FIN24.7.14
 
1.75
XXX
       
1.84
  Trondheim, NORTrondheim, NOR26.7.14
1.84
  SMUmeåSM, Umeå2.8.14
 
1.70
O
1.74
O
1.78
XO
1.81
XO
1.84
O
1.86
XXX
  
Längd (1)
5.82
SB  (23)Dallas, TXDallas, TX25.5.14+0.7
Tresteg (4)
12.70
PB  ESREmporia, KSESR, Emporia, KS5.4.14+1.5
12.96w
  MissouriRColumbia, MOMissouriR, Columbia, MO12.4.14+4.2
12.79
PB  (4)GefleGGävleGefleG, Gävle18.7.14+0.9
12.99w
  GefleGGävleGefleG, Gävle18.7.14+2.3
10.64
  SMUmeåSM, Umeå2.8.14+0.9
12.46w
  SMUmeåSM, Umeå2.8.14+2.9
 
X
-0.3
12.46
+2.9
X
-0.2
10.64
+0.9
Kula (1)
9.50
PB  Dallas, TXDallas, TX24.5.14
Spjut (2)
29.38
=PB  Dallas, TXDallas, TX25.5.14
29.38
PB  Dallas, TXDallas, TX25.5.14
Sjukamp (1)
DNF
  Dallas, TXDallas, TX25.5.14
15.23/0.1   1.83   9.50   26.70w/3.2
5.82/0.7   29.38   

2013

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2013-1 ELSE 2013 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2013 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

100 m häck (1)
16.01
SB  Delaware, OHDelaware, OH13.5.13+1.0
Höjd (1)
1.75
SB  (15)Delaware, OHDelaware, OH13.5.13
Kula (1)
9.33
PB  Delaware, OHDelaware, OH13.5.13

2011

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2011-1 ELSE 2011 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2011 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

Höjd (7)
1.78
SB  Stockholm/SStockholm/S14.7.11
1.83
SB  ValboGGävleValboG, Gävle22.7.11
1.83
=SB  GävleGävle22.7.11
1.84
SB  (3)FGPKarlstadFGP, Karlstad2.8.11
1.84
=SB  (3)KarlstadKarlstad2.8.11
1.82
  SMGävleSM, Gävle13.8.11
1.74
  Folksam GPMölndalFolksam GP, Mölndal3.9.11
Tresteg (3)
12.42
PB  (10)Göteborg/UGöteborg/U10.7.11+1.4
12.50w
  VUSGöteborg/UVUS, Göteborg/U10.7.11+3.5
12.50w
  Göteborg/UGöteborg/U10.7.11+3.5

2010

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2010-1 ELSE 2010 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2010 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

Tresteg (1)
12.13i
=PB  ISMSätraISM, Sätra27.2.10
 
X11.9211.8912.1312.1112.13
12.13i
PB  ISMSätraISM, Sätra27.2.10
 
X11.9211.8912.1312.1112.13

2009

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2009-1 ELSE 2009 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2009 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

800 m (1)
2:29.59i
PB  ISMVästeråsISM, Västerås15.3.09
60 m häck (3)
9.30i
=SB  Göteborg/FHGöteborg/FH8.3.09
9.30i
SB  IJSMGöteborg/FHIJSM, Göteborg/FH8.3.09
9.31i
  ISMVästeråsISM, Västerås15.3.09
Höjd (16)
1.84i
SB  SätraspSätraSätrasp, Sätra24.1.09
1.87i
PB (37) (1)SamsungGöteborg/ScSamsung, Göteborg/Sc29.1.09
1.75i
  MIGMalmö/MMIG, Malmö/M3.2.09
1.85i
  Raka SpåretSätraRaka Spåret, Sätra8.2.09
1.82i
  GEGalanStockholm/GGEGalan, Stockholm/G18.2.09
1.81i
  ISMBollnäsISM, Bollnäs1.3.09
 
1.75
O
1.81
O
1.85
XXX
     
1.84i
  IJSMGöteborg/FHIJSM, Göteborg/FH7.3.09
1.84i
  IJSMGöteborg/FHIJSM, Göteborg/FH7.3.09
1.85i
  ISMVästeråsISM, Västerås15.3.09
1.88
SB (62) (2)KilKil6.6.09
1.84
  Folksam GPGöteborg/SFolksam GP, Göteborg/S9.6.09
1.83
  JEM22Kaunas, LTUJEM22, Kaunas, LTU16.7.09
1.83
  JEM22Kaunas, LTUJEM22, Kaunas, LTU18.7.09
1.83
  SMMalmö/SSM, Malmö/S2.8.09
 
1.75
XO
1.78
O
1.81
XXO
1.83
XXO
1.85
XXX
   
1.79
  GävleGävle22.8.09
1.74
  vFINGöteborg/UvFIN, Göteborg/U30.8.09
Längd (3)
5.84i
SB  IJSMGöteborg/FHIJSM, Göteborg/FH8.3.09
5.95i
PB  ISMVästeråsISM, Västerås15.3.09
5.82
SB  (18)SätraSätra31.5.09+0.4
Kula (1)
9.79i
PB  ISMVästeråsISM, Västerås15.3.09
Femkamp (1)
3.935
PB  ISMVästeråsISM, Västerås15.3.09
9.31   1.85   9.79   5.95   2:29.59   

2008

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2008-1 ELSE 2008 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2008 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

800 m (1)
2:37.47
PB  SMGöteborg/FHSM, Göteborg/FH16.3.08
60 m häck (1)
9.38
PB  SMGöteborg/FHSM, Göteborg/FH16.3.08
Höjd (16)
1.85
SB  SMGöteborg/FHSM, Göteborg/FH16.3.08
1.83
  FBKGHengelo, NEDFBKG, Hengelo, NED24.5.08
1.88
PB  SayoSollentunaSayo, Sollentuna6.6.08
1.77
  KilsspKilKilssp, Kil8.6.08
1.75
  Folksam GPGöteborg/SFolksam GP, Göteborg/S24.6.08
1.84
  VUSGöteborg/UVUS, Göteborg/U27.6.08
1.79
  GurkspVästeråsGurksp, Västerås5.7.08
1.80
  Folksam GPSollentunaFolksam GP, Sollentuna8.7.08
1.81
  ÖresundsspHelsingborgÖresundssp, Helsingborg13.7.08
1.82
  DN GalanStockholm/SDN Galan, Stockholm/S22.7.08
1.82
  SMVästeråsSM, Västerås3.8.08
1.82
  SMVästeråsSM, Västerås3.8.08
 
1.77
XO
1.80
XO
1.82
O
1.84
XXX
    
1.83
  JSMNorrtäljeJSM, Norrtälje8.8.08
1.91
PB (33) (2)WaplanspKrokomWaplansp, Krokom24.8.08
1.74
  vFINHelsinki, FINvFIN, Helsinki, FIN30.8.08
1.83
  NMTampere, FINNM, Tampere, FIN7.9.08
Längd (1)
5.76i
SB  ISMGöteborg/FHISM, Göteborg/FH16.3.08
Kula (1)
9.07
SB  SMGöteborg/FHSM, Göteborg/FH16.3.08
Femkamp (1)
3.721
PB  SMGöteborg/FHSM, Göteborg/FH16.3.08
9.38   1.85   9.07   5.76   2:37.47   

2007

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2007-1 ELSE 2007 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2007 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

60 m häck (1)
9.26i
SB  UmeåUmeå7.2.07
300 m häck (1)
47.12
SB  GävleGävle16.9.07
Höjd (15)
1.85i
PB  UmeåUmeå17.1.07
1.75i
  EurojumpGöteborg/ScEurojump, Göteborg/Sc31.1.07
1.79i
  GE GalanStockholm/GGE Galan, Stockholm/G20.2.07
1.79i
  ISMGöteborg/FHISM, Göteborg/FH24.2.07
1.75
SB  FBKGHengelo, NEDFBKG, Hengelo, NED26.5.07
1.80
SB  HärnösandHärnösand16.6.07
1.76
  TelenorKarlskronaTelenor, Karlskrona18.6.07
1.82
SB  BauhausMannheim, GERBauhaus, Mannheim, GER23.6.07
1.85
SB  (15) (5)ArcobalenoCelle Ligure, ITAArcobaleno, Celle Ligure, ITA27.6.07
1.80
  JEM19Hengelo, NEDJEM19, Hengelo, NED20.7.07
1.82
  JEM19Hengelo, NEDJEM19, Hengelo, NED22.7.07
1.84
  Folksam GPGöteborg/SFolksam GP, Göteborg/S1.8.07
1.82
  JSMUddevallaJSM, Uddevalla24.8.07
1.78
  v3NatEsbjerg, DENv3Nat, Esbjerg, DEN2.9.07
1.80
  vFINGöteborg/UvFIN, Göteborg/U9.9.07
Längd (1)
5.97
SB  (7)v3NatEsbjerg, DENv3Nat, Esbjerg, DEN1.9.070.0

2006

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2006-1 ELSE 2006 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2006 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

100 m (1)
12.71
PB  Stockholm/SStockholm/S15.9.06-0.2
60 m häck (1)
8.93i
PB  (15)VästeråsVästerås5.3.06
100 m häck (1)
14.86
PB  (20)HärnösandHärnösand18.6.06+0.3
Höjd (18)
1.75i
SB  ÅsÅs28.1.06
1.81i
SB  (22) (5)UmeåUmeå1.2.06
1.77i
  ISMSätraISM, Sätra25.2.06
1.81i
=SB  IJSMVästeråsIJSM, Västerås4.3.06
1.77
SB  SAYOSollentunaSAYO, Sollentuna26.5.06
1.81
SB  ArcobalenoCelle Ligure, ITAArcobaleno, Celle Ligure, ITA8.6.06
1.84
SB  (16) (5)TelenorKarlskronaTelenor, Karlskrona12.6.06
1.78
  HärnösandHärnösand17.6.06
1.80
  LundahoppetLundLundahoppet, Lund22.6.06
1.83
  NorrtGNorrtäljeNorrtG, Norrtälje3.7.06
1.82
  DLVMannheim, GERDLV, Mannheim, GER8.7.06
1.83
  SMSollentunaSM, Sollentuna16.7.06
1.84
=SB  JSMHuddingeJSM, Huddinge6.8.06
1.83
  JVMBeijing, CHNJVM, Beijing, CHN18.8.06
1.80
  JVMBeijing, CHNJVM, Beijing, CHN20.8.06
1.83
  vFINHelsinki, FINvFIN, Helsinki, FIN26.8.06
1.79
  NordenkampenEskilstunaNordenkampen, Eskilstuna3.9.06
Längd (7)
5.92i
PB  (70) (6)ISMSätraISM, Sätra25.2.06
5.85i
  ISMSätraISM, Sätra25.2.06
5.81w
  SMSollentunaSM, Sollentuna14.7.06+2.2
5.84
SB  (14)SMSollentunaSM, Sollentuna15.7.06+1.1
6.02w
  NordenkampenEskilstunaNordenkampen, Eskilstuna2.9.06+2.1
Kula (1)
9.19
PB  Umeå/I20Umeå/I2019.9.06

2005

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2005-1 ELSE 2005 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2005 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

200 m (1)
26.72
PB  Nice, FRANice, FRA12.5.05-0.3
100 m häck (76.2 cm, 8.5 m) (1)
14.53
PB  GävleGävle10.9.05+1.1
300 m häck (1)
45.33
PB  KrokomKrokom6.8.05
Höjd (14)
1.75i
PB  UmeåUmeå15.1.05
1.83i
PB (87) (17) (6) (3)ISMMalmö/AISM, Malmö/A13.2.05
1.78i
  IUSMGöteborg/FHIUSM, Göteborg/FH26.2.05
1.75
SB  SAYOSollentunaSAYO, Sollentuna27.5.05
1.76
SB  Folksam GPGöteborg/SFolksam GP, Göteborg/S14.6.05
1.73
  Folksam GPSollentunaFolksam GP, Sollentuna28.6.05
1.76
=SB  VUSGöteborg/UVUS, Göteborg/U2.7.05
1.74
  UVMMarrakech, MARUVM, Marrakech, MAR13.7.05
1.82
SB  UVMMarrakech, MARUVM, Marrakech, MAR15.7.05
1.83
SB  ValboGGävleValboG, Gävle24.7.05
1.79
  USMHudiksvallUSM, Hudiksvall13.8.05
1.84
SB  (23) (8) (4)SMHelsingborgSM, Helsingborg20.8.05
1.77
  vFINGöteborg/UvFIN, Göteborg/U27.8.05
1.74
  HS ChGävleHS Ch, Gävle11.9.05
Längd (3)
5.95
PB  VUSGöteborg/UVUS, Göteborg/U2.7.05+0.3
5.86
  vFINGöteborg/UvFIN, Göteborg/U28.8.05-0.9
6.04
PB  (33) (9)HS ChGävleHS Ch, Gävle10.9.05+1.8
Tresteg (2)
11.37
SB  GävleGävle11.9.05+1.8
11.47w
  GävleGävle11.9.05+2.1
Kula (3.0 kg) (1)
10.06i
PB  UmeåUmeå9.2.05

2004

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2004-1 ELSE 2004 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2004 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

100 m häck (76.2 cm, 8.5 m) (1)
14.94
PB  FalunFalun14.8.04-1.6
Höjd (8)
1.79
PB  SayoSollentunaSayo, Sollentuna30.5.04
1.75
  ÖstersundÖstersund13.6.04
1.80
PB  VUSGöteborg/UVUS, Göteborg/U3.7.04
1.76
  ValboGävleValbo, Gävle18.7.04
1.75
  KrokomKrokom31.7.04
1.86
PB (90) (11) (4) (3)USMFalunUSM, Falun15.8.04
1.82
  vFINGöteborg/UvFIN, Göteborg/U4.9.04
1.84
  HS ChGävleHS Ch, Gävle18.9.04
Längd (2)
5.73
PB  (14)GävleGävle19.9.04+1.7
5.85w
  GävleGävle19.9.04+3.5
Tresteg (2)
11.54
PB  KrokomKrokom31.7.04+0.5
11.73w
  KrokomKrokom22.8.04+2.3

2003

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2003-1 ELSE 2003 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2003 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

Höjd (1)
1.65
PB  Stockholm/SStockholm/S14.9.03
Tresteg (2)
11.18 nwi
  KrokomKrokom5.7.03
11.07
PB  Malmö/HeMalmö/He15.8.03+2.0

2002

select DISTINCT sweevents2w.Eventname AS Eventswe, CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END AS ENumb, yearwsweall.Eventname AS Eventeng, events.TF, yearwsweall.iid as IID, yearwsweall.*, alltwat31382.multi, alltwat31382.tiimi, irrelagularities.*, CASE WHEN Windlegal = 2 THEN '' ELSE `2010`.womenpbestSWEDEN.BB END AS BPB, CASE WHEN Windlegal = 2 THEN '' ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN '' ELSE `2010`.womensbestSWEDEN.BB END END AS BSB, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womenpbestSWEDEN.Best = 0 AND `2010`.womenpbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END AS BPBe, CASE WHEN Windlegal = 2 THEN 1 ELSE CASE WHEN `2010`.womenpbestSWEDEN.BB IS NOT NULL THEN 1 ELSE CASE WHEN `2010`.womensbestSWEDEN.BB IS NOT NULL THEN CASE WHEN `2010`.womensbestSWEDEN.Best = 0 AND `2010`.womensbestSWEDEN.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END END END AS BSBe, CASE WHEN `2010`.womenwl.BB IS NOT NULL THEN CASE WHEN `2010`.womenwl.Roundi IS NOT NULL THEN 0 ELSE 1 END ELSE 1 END AS WLe, `2010`.womenwl.BB AS WL, CASE WHEN MONTH(yearwsweall.Date)>9 AND yearwsweall.Ind=1 THEN 2002-1 ELSE 2002 END AS Yeari, CONCAT(DAY(yearwsweall.DATE),'.',MONTH(yearwsweall.DATE),'.',SUBSTRING(YEAR(yearwsweall.DATE),-2)) AS Datu, courselength from tempdb2.alltwat31382 inner join world.yearwsweall ON alltwat31382.IID=yearwsweall.IID INNER JOIN `2010`.events on yearwsweall.ENumber=events.`Order` left join `2010`.irrelagularities on irrelagularities.irr = case when yearwsweall.irr != 'MX' then yearwsweall.irr else '' END left join `2010`.womenpbestSWEDEN on `2010`.womenpbestSWEDEN.iid = yearwsweall.IID left join `2010`.womensbestSWEDEN on `2010`.womensbestSWEDEN.iid = yearwsweall.IID left join `2010`.womenwl on `2010`.womenwl.iid = yearwsweall.IID LEFT JOIN `2010`.sweevents2w ON yearwsweall.ENumber=sweevents2w.ENumber LEFT JOIN results.comp ON yearwsweall.CID=comp.CID LEFT JOIN world.coursew ON alltwat31382.IID=coursew.IID WHERE yearwsweall.Year = 2002 AND yearwsweall.Event NOT LIKE '%TEAM%' HAVING BPBe = 1 AND BSBe = 1 AND WLe = 1 ORDER BY CASE WHEN yearwsweall.Event LIKE 'CC%' THEN 694 ELSE Ord END ASC,Date ASC, OrderPos ASC, Windlegal

Höjd (1)
1.58
PB  KrokomKrokom24.8.02
Längd (1)
5.07
PB  KrokomKrokom24.8.02-1.8

Längst till höger topp-50-placering i den svenska genom-tiderna-statistiken

100 m
Ute
12.71
Stockholm/S15.9.06-0.2
200 m
Ute
26.72
Nice, FRA12.5.05-0.3
800 m
Ute
2:37.47
Göteborg/FH16.3.08
Inne
2:27.71
Crete, NE11.12.14
60 m häck
Inne
8.93
Västerås5.3.06
100 m häck
Ute
14.86
Härnösand18.6.06+0.3
300 m häck
Ute
45.33
Krokom6.8.05
Höjd
Ute
1.97
Cheboksary, RUS21.6.153
Inne
1.93
Portland, OR20.3.166
Längd
Ute
6.51
Torremolinos, ESP23.5.19+1.210
Inne
6.35
Youngstown, OH18.1.1911
Tresteg
Ute
13.11
St. Charles, MO3.5.15+1.130
Inne
12.99
Boston, MA28.1.1724
Kula
Ute
9.50
Dallas, TX24.5.14
Inne
10.95
Youngstown, OH1.2.20
Spjut
Ute
29.38
Dallas, TX25.5.14
Femkamp
Inne
3.935
Västerås15.3.0919

Junior-ungdom
100 m häck (76.2 cm, 8.5 m)
Ute
14.53
Gävle10.9.05+1.1
Kula (3.0 kg)
Inne
10.06
Umeå9.2.05
Höjd
1.97
4
Lag-EM Super LCheboksary, RUS21.6.15
1.96
1
FBKGHengelo, NED9.6.19
1.96
2
BislettGOslo, NOR13.6.19
1.95
5
PreStanford, CA30.6.19
1.95
1
SMUppsala15.8.20
1.95
4
GGalaRoma, ITA17.9.20
1.94
3
AthletissimaLausanne, SUI9.7.15
1.94
1
Folksam GPKarlstad22.7.15
1.94
3
MüllerLondon, GBR9.7.17
1.94
2
Zoetermeer, NED6.6.18
Visa/dölj alla resultat
1.94
3
BauhausStockholm/S10.6.18
1.94
2
Eberstadt, GER25.8.18
1.94
1
Torremolinos, ESP23.5.19
1.94
4
GSpikeOstrava, CZE20.6.19
1.94
2
Lag-EM Super LBydgoszcz, POL11.8.19
1.93i
8
IVMPortland, OR20.3.16
1.93
1
Akron, OH5.5.18
1.93i
1
Q
IEMGlasgow, GBR1.3.19
1.93
4
BauhausStockholm/S23.8.20
1.92
1
MIAASt. Charles, MO3.5.15
1.92
2
SMSöderhamn9.8.15
1.92
1
Lund10.6.17
1.92
1
Bühl, GER30.6.17
1.92i
1
ISMGävle18.2.18
1.92
2
Tübingen, GER16.6.18
1.92i
5
Cottbus, GER30.1.19
1.92i
1
Winston-Salem, NC8.2.20
1.92
1
Sollentuna10.8.20
1.91
1
WaplanspKrokom24.8.08
1.91
8
HercMonaco, MON17.7.15
1.91
1
Sotteville-lès-Rouen, FRA7.7.17
1.91i
1
New BalanceBoston, MA10.2.18
1.91
3
FBKGHengelo, NED3.6.18
1.91
4
Sollentuna28.6.18
1.91
5
MüllerLondon, GBR22.7.18
1.91i
7
IEMGlasgow, GBR3.3.19
1.91
2
Doha, QAT3.5.19
1.91
7
AthletissimaLausanne, SUI5.7.19
1.90i
1
MuleRWarrensburg, MO30.1.15
1.90i
1
NCAA-IIBirmingham, AL14.3.15
1.90
1
Clermont, FL14.5.16
1.90
1
Monachil, ESP2.7.16
1.90
6
BauhausStockholm/S18.6.17
1.90i
3
Toruń, POL15.2.18
1.90
4
Bühl, GER22.6.18
1.90
8
Meet ParisParis, FRA30.6.18
1.90
1
Oslo, NOR5.7.18
1.90
9
Q
EMBerlin, GER8.8.18
1.90
4
WKZürich, SUI30.8.18
1.90
1
vFINTampere, FIN1.9.18
1.90i
1
Lexington, KY12.1.19
1.90i
1
v3NatBærum, NOR10.2.19
1.90
3
BauhausStockholm/S30.5.19
1.90
1
vFINStockholm/S24.8.19
1.90
=2
HanžekovićZagreb, CRO15.9.20
1.89
18
Q
VMBeijing, CHN27.8.15
1.89
1
Karlstad25.7.17
1.89
3
vFINStockholm/S3.9.17
1.88
1
SayoSollentuna6.6.08
1.88
1
22
Kil6.6.09
1.88i
1
Lion InvJoplin, MO1.2.14
1.88
1
MissouriRColumbia, MO12.4.14
1.88
1
ClassicPittsburg, KS11.4.15
1.88
3
HanžekovićZagreb, CRO29.8.17
1.88i
1
University Park, PA27.1.18
1.88i
3
ISMNorrköping17.2.19
1.88
1
SMKarlstad31.8.19
1.88
2
VDBruxelles, BEL4.9.20
1.87i
4
SamsungGöteborg/Sc29.1.09
1.87i
1
Zips InvAkron, OH19.2.16
1.87
1
Lund4.6.16
1.87
6
Madrid, ESP23.6.16
1.87
2
Murcia, ESP26.6.16
1.87
6
Eberstadt, GER16.7.16
1.87
13
EMBerlin, GER10.8.18
1.87i
2
Karlstad20.2.19
1.87
1
Göteborg/S29.8.20
1.86
1
17
USMFalun15.8.04
1.86
1
NCAA-IIAllendale, MI22.5.15
1.86
2
TexasRAustin, TX31.3.18
1.86i
pen
Youngstown, OH1.2.20
1.86i
1
Albuquerque, NM14.2.20
1.85i
1
Umeå17.1.07
1.85
3
ArcobalenoCelle Ligure, ITA27.6.07
1.85
pen
SMGöteborg/FH16.3.08
1.85i
1
Raka SpåretSätra8.2.09
1.85i
pen
ISMVästerås15.3.09
1.85i
1
Allendale, MI13.2.15
1.85
=9
VDBruxelles, BEL11.9.15
1.85i
2
Staten Island, NY27.2.16
1.85
6
BislettOslo, NOR9.6.16
1.85
22
Q
EMAmsterdam, NED6.7.16
1.85
29
Q
OSRio de Janeiro, BRA18.8.16
1.85
5
Kingston, JAM20.5.17
1.85
4
HercMonaco, MON21.7.17
1.85
=21
Q
VMLondon, GBR10.8.17
1.85
2
SMHelsingborg27.8.17
1.85i
3
MillroseNew York, NY3.2.18
1.85
4
DrakeRDes Moines, IA27.4.18
1.85i
1
Youngstown, OH18.1.19
1.85
2
MSRTorrance, CA20.4.19
1.85
7
HercMonaco, MON12.7.19
1.85
8
VDBruxelles, BEL6.9.19
1.85
18
Q
VMDoha, QAT27.9.19
1.84
1
16
HS ChGävle18.9.04
1.84
2
SMHelsingborg20.8.05
1.84
1
TelenorKarlskrona12.6.06
1.84
1
19
JSMHuddinge6.8.06
1.84
=3
Folksam GPGöteborg/S1.8.07
1.84
2
VUSGöteborg/U27.6.08
1.84i
1
SätraspSätra24.1.09
1.84i
1
22
IJSMGöteborg/FH7.3.09
1.84i
1
22
IJSMGöteborg/FH7.3.09
1.84
3
Folksam GPGöteborg/S9.6.09
1.84
4
Folksam GPKarlstad2.8.11
1.84
4
Karlstad2.8.11
1.84
1
Trondheim, NOR26.7.14
1.84
3
SMUmeå2.8.14
1.84
1
DrakeRDes Moines, IA24.4.15
1.84
5
PNGTurku, FIN13.6.17
1.84i
4
MüllerGlasgow, GBR25.2.18
1.84i
7
IVMBirmingham, GBR1.3.18
1.84
3
Göteborg/S18.8.18
1.84i
7
Brno, CZE6.2.19
1.84
3
Heusden, BEL6.9.20
1.83i
2
ISMMalmö/A13.2.05
1.83
1
ValboGGävle24.7.05
1.83
2
NorrtGNorrtälje3.7.06
1.83
3
SMSollentuna16.7.06
1.83
3
SMSollentuna16.8.06
1.83
5
19
Q
JVMBeijing, CHN18.8.06
1.83
2
vFINHelsinki, FIN26.8.06
1.83
7
FBKGHengelo, NED24.5.08
1.83
1
22
JSMNorrtälje8.8.08
1.83
3
22
NMTampere, FIN7.9.08
1.83
=9
22
Q
JEM22Kaunas, LTU16.7.09
1.83
8
22
JEM22Kaunas, LTU18.7.09
1.83
2
SMMalmö/S2.8.09
1.83
1
ValboGGävle22.7.11
1.83
1
Gävle22.7.11
1.83i
pen
MuleRWarrensburg, MO7.2.14
1.83
6
DrakeRDes Moines, IA26.4.14
1.83
hep
Dallas, TX24.5.14
1.83
3
BauhausStockholm/S30.7.15
1.83
=3
vFINStockholm/S13.9.15
1.83
4
Folksam GPKarlstad27.7.16
1.82
1
17
vFINGöteborg/U4.9.04
1.82
5
17
UVMMarrakech, MAR15.7.05
1.82
2
19
DLVMannheim, GER8.7.06
1.82
1
19
BauhausMannheim, GER23.6.07
1.82
1
19
JEM19Hengelo, NED22.7.07
1.82
1
19
JSMUddevalla24.8.07
1.82
10
DN GalanStockholm/S22.7.08
1.82
3
SMVästerås3.8.08
1.82
3
SMVästerås3.8.08
1.82i
1
GEGalanStockholm/G18.2.09
1.82
3
SMGävle13.8.11
1.82i
1
Warrensburg, MO28.2.15
1.81i
1
Umeå1.2.06
1.81i
2
19
IJSMVästerås4.3.06
1.81
3
ArcobalenoCelle Ligure, ITA8.6.06
1.81
1
ÖresundsspHelsingborg13.7.08
1.81i
1
ISMBollnäs1.3.09
1.81
4
Folksam GPKarlstad16.7.14
1.81i
1
Akron, OH4.2.17
1.80
1
17
VUSGöteborg/U3.7.04
1.80
3
LundahoppetLund22.6.06
1.80
8
19
JVMBeijing, CHN20.8.06
1.80
1
Härnösand16.6.07
1.80
7
19
Q
JEM19Hengelo, NED20.7.07
1.80
=3
vFINGöteborg/U9.9.07
1.80
8
Folksam GPSollentuna8.7.08
1.80
11
VDBruxelles, BEL1.9.17
1.80
10
DiamondShanghai, CHN12.5.18
1.79
1
19
SayoSollentuna30.5.04
1.79
1
17
USMHudiksvall13.8.05
1.79
2
19
NordenkampenEskilstuna3.9.06
1.79i
2
GE GalanStockholm/G20.2.07
1.79i
5
ISMGöteborg/FH24.2.07
1.79
1
GurkspVästerås5.7.08
1.79
1
Gävle22.8.09
1.79i
pen
Crete, NE11.12.14
1.78i
1
17
IUSMGöteborg/FH26.2.05
1.78
1
Härnösand17.6.06
1.78
1
19
v3NatEsbjerg, DEN2.9.07
1.78
1
Stockholm/S14.7.11
1.77
1
18
vFINGöteborg/U27.8.05
1.77i
4
ISMSätra25.2.06
1.77
1
SAYOSollentuna26.5.06
1.77
=1
KilsspKil8.6.08
1.77
4
DrakeRDes Moines, IA27.4.19
1.76
1
17
ValboGävle18.7.04
1.76
6
Folksam GPGöteborg/S14.6.05
1.76
1
19
VUSGöteborg/U2.7.05
1.76
3
TelenorKarlskrona18.6.07
1.75
1
17
Östersund13.6.04
1.75
1
17
Krokom31.7.04
1.75i
1
Umeå15.1.05
1.75
1
SAYOSollentuna27.5.05
1.75i
1
Ås28.1.06
1.75i
7
EurojumpGöteborg/Sc31.1.07
1.75
10
FBKGHengelo, NED26.5.07
1.75
6
Folksam GPGöteborg/S24.6.08
1.75i
5
MIGMalmö/M3.2.09
1.75
hep
Delaware, OH13.5.13
1.74
4
17
QA
UVMMarrakech, MAR13.7.05
1.74
1
17
HS ChGävle11.9.05
1.74
5
vFINHelsinki, FIN30.8.08
1.74
6
vFINGöteborg/U30.8.09
1.74
2
Folksam GPMölndal3.9.11
1.73
9
Folksam GPSollentuna28.6.05
1.65
1
15
Stockholm/S14.9.03
1.58
1
15
Krokom24.8.02
10-bästasnitt: 1.95
Längd
6.51
1
Torremolinos, ESP23.5.19+1.2
6.47
1
Long Beach, CA18.4.19+0.1
6.44
2
Málaga, ESP27.5.19-0.9
6.43
+
MSRTorrance, CA20.4.19+1.7
6.41
3
Folksam GPGöteborg/S16.8.19+0.3
6.35i
1
Youngstown, OH18.1.19
6.33i
2
ISMNorrköping16.2.19
6.29
1
Oslo, NOR5.7.18+1.2
6.29
7
Lag-EM Super LBydgoszcz, POL11.8.19-1.6
6.28
+
NCAA-IIAllendale, MI21.5.15+1.9
Visa/dölj alla resultat
6.26
+
Akron, OH5.5.18+0.3
6.18i
1
Lexington, KY12.1.19
6.17
1
MIAASt. Charles, MO2.5.15+0.4
6.14i
1
Lion InvJoplin, MO6.2.15
6.14
4
SMKarlstad31.8.19-1.5
6.12i
pen
Youngstown, OH1.2.20
6.08
5
Folksam GPVarberg15.7.19-1.2
6.05i
4
NCAA-IIBirmingham, AL13.3.15
6.04
1
17
HS ChGävle10.9.05+1.8
6.01i
1
Warrensburg, MO28.2.15
6.00
4
vFINStockholm/S24.8.19-1.1
6.00
3
Q
SMKarlstad30.8.19+0.9
5.97
1
19
v3NatEsbjerg, DEN1.9.070.0
5.95
1
19
VUSGöteborg/U2.7.05+0.3
5.95i
pen
ISMVästerås15.3.09
5.92i
3
QA
ISMSätra25.2.06
5.91i
1
Warrensburg, MO23.1.15
5.91
+
ESUREmporia, KS4.4.15+1.5
5.87i
pen
Crete, NE11.12.14
5.86
1
18
vFINGöteborg/U28.8.05-0.9
5.85i
6
ISMSätra25.2.06
5.84
5
SMSollentuna15.7.06+1.1
5.84
5
SMSollentuna15.8.06+1.1
5.84i
1
22
IJSMGöteborg/FH8.3.09
5.82
1
Sätra31.5.09+0.4
5.82
hep
Dallas, TX25.5.14+0.7
5.76i
pen
ISMGöteborg/FH16.3.08
5.73
+
16
Gävle19.9.04+1.7
5.07
2
15
Krokom24.8.02-1.8
10-bästasnitt: 6.38
Tresteg
13.11
1
MIAASt. Charles, MO3.5.15+1.1
12.99i
3
New BalanceBoston, MA28.1.17
12.93i
1
Lion InvJoplin, MO7.2.15
12.93i
1
NCAA-IIBirmingham, AL14.3.15
12.87
+
NCAA-IIAllendale, MI23.5.15+1.0
12.79
+
GefleGGävle18.7.14+0.9
12.70
1
ESREmporia, KS5.4.14+1.5
12.60
5
SMSollentuna26.8.16+1.5
12.59i
1
Warrensburg, MO27.2.15
12.53i
1
Allendale, MI13.2.15
Visa/dölj alla resultat
12.42
+
Göteborg/U10.7.11+1.4
12.20
+
ESUREmporia, KS4.4.15+1.9
12.13i
5
ISMSätra27.2.10
11.54
1
17
Krokom31.7.04+0.5
11.37
+
17
Gävle11.9.05+1.8
11.07
+
15
Malmö/He15.8.03+2.0
10.64
+
SMUmeå2.8.14+0.9
10-bästasnitt: 12.804

Total results in database: 330
By event:
100 m:1
200 m:3
800 m:4
60 m häck:9
100 m häck (76.2 cm, 8.5 m):2
100 m häck:4
300 m häck:2
Höjd:215
Längd:48
Tresteg:27
Kula (3.0 kg):1
Kula:7
Spjut:2
Femkamp:4
Sjukamp:1
100 m
Ute Visa/dölj alla resultat
2006
12.71
5-18
Stockholm/S
15.9
-0.2
200 m
Ute Visa/dölj alla resultat
2005
26.72
4
Nice, FRA
12.5
-0.3
2014
26.70w
 H
Dallas, TX
24.5
 +3.2
2014
26.70w
 H
Dallas, TX
24.5
 +3.2
800 m
Ute Visa/dölj alla resultat
2008
2:37.47
P
Göteborg/FH
16.3
 
Inne Visa/dölj alla resultat
2009
2:29.59
 P
Västerås
15.3
 
2015
2:27.71
P
Crete, NE
11.12
 
60 m häck
Inne Visa/dölj alla resultat
2006
8.93
3-19
Västerås
5.3
 
2007
9.26
 1
Umeå
7.2
 
2009
9.30
 6-22
Göteborg/FH
8.3
 
9.30
6-22
Göteborg/FH
8.3
 
9.31
P
Västerås
15.3
 
2015
9.00
 5
Warrensburg, MO
30.1
 
9.17
P
Crete, NE
11.12
 
2020
9.07
 P
Youngstown, OH
1.2
 
100 m häck
Ute Visa/dölj alla resultat
2006
14.86
1h2
Härnösand
18.6
 +0.3
2013
16.01
 H
Delaware, OH
13.5
 +1.0
2014
14.96
 1h5
Emporia, KS
5.4
 0.0
15.23
H
Dallas, TX
24.5
 +0.1
300 m häck
Ute Visa/dölj alla resultat
2005
45.33
1-17
Krokom
6.8
 
2007
47.12
 3-18
Gävle
16.9
 
Höjd
Ute Visa/dölj alla resultat
2002
1.58
 1-15
Krokom
24.8
 
2003
1.65
 1-15
Stockholm/S
14.9
 
2004
1.86
 1-17
Falun
15.8
 
1.84
1-16
Gävle
18.9
 
1.82
1-17
Göteborg/U
4.9
 
1.80
1-17
Göteborg/U
3.7
 
1.79
1-19
Sollentuna
30.5
 
1.76
1-17
Gävle
18.7
 
1.75
1-17
Östersund
13.6
 
1.75
1-17
Krokom
31.7
 
2005
1.84
 2
Helsingborg
20.8
 
1.83
1
Gävle
24.7
 
1.82
5-17
Marrakech, MAR
15.7
 
1.79
1-17
Hudiksvall
13.8
 
1.77
1-18
Göteborg/U
27.8
 
1.76
6
Göteborg/S
14.6
 
1.76
1-19
Göteborg/U
2.7
 
1.75
1
Sollentuna
27.5
 
1.74
4qA-17
Marrakech, MAR
13.7
 
1.74
1-17
Gävle
11.9
 
1.73
9
Sollentuna
28.6
 
2006
1.84
 1
Karlskrona
12.6
 
1.84
1-19
Huddinge
6.8
 
1.83
2
Norrtälje
3.7
 
1.83
3
Sollentuna
16.7
 
1.83
3
Sollentuna
16.8
 
1.83
5q-19
Beijing, CHN
18.8
 
1.83
2
Helsinki, FIN
26.8
 
1.82
2-19
Mannheim, GER
8.7
 
1.81
3
Celle Ligure, ITA
8.6
 
1.80
3
Lund
22.6
 
1.80
8-19
Beijing, CHN
20.8
 
1.79
2-19
Eskilstuna
3.9
 
1.78
1
Härnösand
17.6
 
1.77
1
Sollentuna
26.5
 
2007
1.85
 3
Celle Ligure, ITA
27.6
 
1.84
3=
Göteborg/S
1.8
 
1.82
1-19
Mannheim, GER
23.6
 
1.82
1-19
Hengelo, NED
22.7
 
1.82
1-19
Uddevalla
24.8
 
1.80
1
Härnösand
16.6
 
1.80
7q-19
Hengelo, NED
20.7
 
1.80
3=
Göteborg/U
9.9
 
1.78
1-19
Esbjerg, DEN
2.9
 
1.76
3
Karlskrona
18.6
 
1.75
10
Hengelo, NED
26.5
 
2008
1.91
 1
Krokom
24.8
 
1.88
1
Sollentuna
6.6
 
1.85
P
Göteborg/FH
16.3
 
1.84
2
Göteborg/U
27.6
 
1.83
7
Hengelo, NED
24.5
 
1.83
1-22
Norrtälje
8.8
 
1.83
3-22
Tampere, FIN
7.9
 
1.82
10
Stockholm/S
22.7
 
1.82
3
Västerås
3.8
 
1.82
3
Västerås
3.8
 
1.81
1
Helsingborg
13.7
 
1.80
8
Sollentuna
8.7
 
1.79
1
Västerås
5.7
 
1.77
1=
Kil
8.6
 
1.75
6
Göteborg/S
24.6
 
1.74
5
Helsinki, FIN
30.8
 
2009
1.88
 1-22
Kil
6.6
 
1.84
3
Göteborg/S
9.6
 
1.83
9=q-22
Kaunas, LTU
16.7
 
1.83
8-22
Kaunas, LTU
18.7
 
1.83
2
Malmö/S
2.8
 
1.79
1
Gävle
22.8
 
1.74
6
Göteborg/U
30.8
 
2011
1.84
 4
Karlstad
2.8
 
1.84
4
Karlstad
2.8
 
1.83
1
Gävle
22.7
 
1.83
1
Gävle
22.7
 
1.82
3
Gävle
13.8
 
1.78
1
Stockholm/S
14.7
 
1.74
2
Mölndal
3.9
 
2013
1.75
 H
Delaware, OH
13.5
 
2014
1.88
 1
Columbia, MO
12.4
 
1.84
1
Trondheim, NOR
26.7
 
1.84
3
Umeå
2.8
 
1.83
6
Des Moines, IA
26.4
 
1.83
H
Dallas, TX
24.5
 
1.81
4
Karlstad
16.7
 
2015
1.97
4
Cheboksary, RUS
21.6
 
1.94
3
Lausanne, SUI
9.7
 
1.94
1
Karlstad
22.7
 
1.92
1
St. Charles, MO
3.5
 
1.92
2
Söderhamn
9.8
 
1.91
8
Monaco, MON
17.7
 
1.89
18q
Beijing, CHN
27.8
 
1.88
1
Pittsburg, KS
11.4
 
1.86
1
Allendale, MI
22.5
 
1.85
9=
Bruxelles, BEL
11.9
 
1.84
1
Des Moines, IA
24.4
 
1.83
3
Stockholm/S
30.7
 
1.83
3=
Stockholm/S
13.9
 
2016
1.90
 1
Clermont, FL
14.5
 
1.90
1
Monachil, ESP
2.7
 
1.87
1
Lund
4.6
 
1.87
6
Madrid, ESP
23.6
 
1.87
2
Murcia, ESP
26.6
 
1.87
6
Eberstadt, GER
16.7
 
1.85
6
Oslo, NOR
9.6
 
1.85
22q
Amsterdam, NED
6.7
 
1.85
29q
Rio de Janeiro, BRA
18.8
 
1.83
4
Karlstad
27.7
 
2017
1.94
 3
London, GBR
9.7
 
1.92
1
Lund
10.6
 
1.92
1
Bühl, GER
30.6
 
1.91
1
Sotteville-lès-Rouen, FRA
7.7
 
1.90
6
Stockholm/S
18.6
 
1.89
1
Karlstad
25.7
 
1.89
3
Stockholm/S
3.9
 
1.88
3
Zagreb, CRO
29.8
 
1.85
5
Kingston, JAM
20.5
 
1.85
4
Monaco, MON
21.7
 
1.85
21=q
London, GBR
10.8
 
1.85
2
Helsingborg
27.8
 
1.84
5
Turku, FIN
13.6
 
1.80
11
Bruxelles, BEL
1.9
 
2018
1.94
 2
Zoetermeer, NED
6.6
 
1.94
3
Stockholm/S
10.6
 
1.94
2
Eberstadt, GER
25.8
 
1.93
1
Akron, OH
5.5
 
1.92
2
Tübingen, GER
16.6
 
1.91
3
Hengelo, NED
3.6
 
1.91
4
Sollentuna
28.6
 
1.91
5
London, GBR
22.7
 
1.90
4
Bühl, GER
22.6
 
1.90
8
Paris, FRA
30.6
 
1.90
1
Oslo, NOR
5.7
 
1.90
9q
Berlin, GER
8.8
 
1.90
4
Zürich, SUI
30.8
 
1.90
1
Tampere, FIN
1.9
 
1.87
13
Berlin, GER
10.8
 
1.86
2
Austin, TX
31.3
 
1.85
4
Des Moines, IA
27.4
 
1.84
3
Göteborg/S
18.8
 
1.80
10
Shanghai, CHN
12.5
 
2019
1.96
 1
Hengelo, NED
9.6
 
1.96
2
Oslo, NOR
13.6
 
1.95
5
Stanford, CA
30.6
 
1.94
1
Torremolinos, ESP
23.5
 
1.94
4
Ostrava, CZE
20.6
 
1.94
2
Bydgoszcz, POL
11.8
 
1.91
2
Doha, QAT
3.5
 
1.91
7
Lausanne, SUI
5.7
 
1.90
3
Stockholm/S
30.5
 
1.90
1
Stockholm/S
24.8
 
1.88
1
Karlstad
31.8
 
1.85
2
Torrance, CA
20.4
 
1.85
7
Monaco, MON
12.7
 
1.85
8
Bruxelles, BEL
6.9
 
1.85
18q
Doha, QAT
27.9
 
1.77
4
Des Moines, IA
27.4
 
2020
1.95
 1
Uppsala
15.8
 
1.95
4
Roma, ITA
17.9
 
1.93
4
Stockholm/S
23.8
 
1.92
1
Sollentuna
10.8
 
1.90
2=
Zagreb, CRO
15.9
 
1.88
2
Bruxelles, BEL
4.9
 
1.87
1
Göteborg/S
29.8
 
1.84
3
Heusden, BEL
6.9
 
Inne Visa/dölj alla resultat
2005
1.83
 2
Malmö/A
13.2
 
1.78
1-17
Göteborg/FH
26.2
 
1.75
1
Umeå
15.1
 
2006
1.81
 1
Umeå
1.2
 
1.81
2-19
Västerås
4.3
 
1.77
4
Sätra
25.2
 
1.75
1
Ås
28.1
 
2007
1.85
 1
Umeå
17.1
 
1.79
2
Stockholm/G
20.2
 
1.79
5
Göteborg/FH
24.2
 
1.75
7
Göteborg/Sc
31.1
 
2009
1.87
 4
Göteborg/Sc
29.1
 
1.85
1
Sätra
8.2
 
1.85
P
Västerås
15.3
 
1.84
1
Sätra
24.1
 
1.84
1-22
Göteborg/FH
7.3
 
1.84
1-22
Göteborg/FH
7.3
 
1.82
1
Stockholm/G
18.2
 
1.81
1
Bollnäs
1.3
 
1.75
5
Malmö/M
3.2
 
2014
1.88
 1
Joplin, MO
1.2
 
1.83
P
Warrensburg, MO
7.2
 
2015
1.90
 1
Warrensburg, MO
30.1
 
1.90
1
Birmingham, AL
14.3
 
1.85
1
Allendale, MI
13.2
 
1.82
1
Warrensburg, MO
28.2
 
1.79
P
Crete, NE
11.12
 
2016
1.93
8
Portland, OR
20.3
 
1.87
1
Akron, OH
19.2
 
1.85
2
Staten Island, NY
27.2
 
2017
1.81
 1
Akron, OH
4.2
 
2018
1.92
 1
Gävle
18.2
 
1.91
1
Boston, MA
10.2
 
1.90
3
Toruń, POL
15.2
 
1.88
1
University Park, PA
27.1
 
1.85
3
New York, NY
3.2
 
1.84
4
Glasgow, GBR
25.2
 
1.84
7
Birmingham, GBR
1.3
 
2019
1.93
 1q
Glasgow, GBR
1.3
 
1.92
5
Cottbus, GER
30.1
 
1.91
7
Glasgow, GBR
3.3
 
1.90
1
Lexington, KY
12.1
 
1.90
1
Bærum, NOR
10.2
 
1.88
3
Norrköping
17.2
 
1.87
2
Karlstad
20.2
 
1.85
1
Youngstown, OH
18.1
 
1.84
7
Brno, CZE
6.2
 
2020
1.92
 1
Winston-Salem, NC
8.2
 
1.86
P
Youngstown, OH
1.2
 
1.86
1
Albuquerque, NM
14.2
 
Längd
Ute Visa/dölj alla resultat
2002
5.07
 2-15
Krokom
24.8
-1.8
2004
5.73
 +-16
Gävle
19.9
 +1.7
5.85w
 1-16
Gävle
19.9
 +3.5
2005
6.04
 1-17
Gävle
10.9
 +1.8
5.95
1-19
Göteborg/U
2.7
 +0.3
5.86
1-18
Göteborg/U
28.8
-0.9
2006
5.84
 5
Sollentuna
15.7
 +1.1
5.84
5
Sollentuna
15.8
 +1.1
6.02w
 3-19
Eskilstuna
2.9
 +2.1
5.81w
 5q
Sollentuna
14.7
 +2.2
5.81w
 5q
Sollentuna
14.8
 +2.2
2007
5.97
 1-19
Esbjerg, DEN
1.9
 0.0
2009
5.82
 1
Sätra
31.5
 +0.4
2014
5.82
 H
Dallas, TX
25.5
 +0.7
2015
6.28
 -
Allendale, MI
21.5
 +1.9
6.17
1
St. Charles, MO
2.5
 +0.4
5.91
-
Emporia, KS
4.4
 +1.5
6.46w
 4
Allendale, MI
21.5
 +2.2
6.02w
 1
Emporia, KS
4.4
 +2.5
2018
6.29
 1
Oslo, NOR
5.7
 +1.2
6.26
-
Akron, OH
5.5
 +0.3
6.32w
 2
Akron, OH
5.5
 +2.2
2019
6.51
1
Torremolinos, ESP
23.5
 +1.2
6.47
1
Long Beach, CA
18.4
 +0.1
6.44
2
Málaga, ESP
27.5
-0.9
6.43
-
Torrance, CA
20.4
 +1.7
6.41
3
Göteborg/S
16.8
 +0.3
6.29
7
Bydgoszcz, POL
11.8
-1.6
6.14
4
Karlstad
31.8
-1.5
6.08
5
Varberg
15.7
-1.2
6.00
4
Stockholm/S
24.8
-1.1
6.00
3q
Karlstad
30.8
 +0.9
6.44w
 6
Torrance, CA
20.4
 +2.5
Inne Visa/dölj alla resultat
2006
5.92
 3qA
Sätra
25.2
 
5.85
6
Sätra
25.2
 
2008
5.76
 P
Göteborg/FH
16.3
 
2009
5.95
 P
Västerås
15.3
 
5.84
1-22
Göteborg/FH
8.3
 
2015
6.14
 1
Joplin, MO
6.2
 
6.05
4
Birmingham, AL
13.3
 
6.01
1
Warrensburg, MO
28.2
 
5.91
1
Warrensburg, MO
23.1
 
5.87
P
Crete, NE
11.12
 
2019
6.35
1
Youngstown, OH
18.1
 
6.33
2
Norrköping
16.2
 
6.18
1
Lexington, KY
12.1
 
2020
6.12
 P
Youngstown, OH
1.2
 
Tresteg
Ute Visa/dölj alla resultat
2003
11.07
 +-15
Malmö/He
15.8
 +2.0
2004
11.54
 1-17
Krokom
31.7
 +0.5
11.73w
 1-17
Krokom
22.8
 +2.3
2005
11.37
 +-17
Gävle
11.9
 +1.8
11.47w
 3-17
Gävle
11.9
 +2.1
2011
12.42
 +
Göteborg/U
10.7
 +1.4
12.50w
 5
Göteborg/U
10.7
 +3.5
12.50w
 5
Göteborg/U
10.7
 +3.5
2014
12.79
 -
Gävle
18.7
 +0.9
12.70
1
Emporia, KS
5.4
 +1.5
10.64
-
Umeå
2.8
 +0.9
12.99w
 1
Gävle
18.7
 +2.3
12.96w
 1
Columbia, MO
12.4
 +4.2
12.46w
 4
Umeå
2.8
 +2.9
2015
13.11
1
St. Charles, MO
3.5
 +1.1
12.87
-
Allendale, MI
23.5
 +1.0
12.20
-
Emporia, KS
4.4
 +1.9
13.02w
 2
Allendale, MI
23.5
 +2.3
12.35w
 1
Emporia, KS
4.4
 +2.1
2016
12.60
 5
Sollentuna
26.8
 +1.5
Inne Visa/dölj alla resultat
2010
12.13
 5
Sätra
27.2
 
2015
12.93
 1
Joplin, MO
7.2
 
12.93
1
Birmingham, AL
14.3
 
12.59
1
Warrensburg, MO
27.2
 
12.53
1
Allendale, MI
13.2
 
2017
12.99
3
Boston, MA
28.1
 
Kula
Ute Visa/dölj alla resultat
2006
9.19
 Com
Umeå/I20
19.9
 
2008
9.07
 P
Göteborg/FH
16.3
 
2013
9.33
 H
Delaware, OH
13.5
 
2014
9.50
H
Dallas, TX
24.5
 
Inne Visa/dölj alla resultat
2009
9.79
 P
Västerås
15.3
 
2015
9.30
 P
Crete, NE
11.12
 
2020
10.95
P
Youngstown, OH
1.2
 
Spjut
Ute Visa/dölj alla resultat
2014
29.38
H
Dallas, TX
25.5
 
2014
29.38
H
Dallas, TX
25.5
 
Femkamp
Inne Visa/dölj alla resultat
2009
3.935
1
Västerås
15.3
 
2015
3.857
 1
Crete, NE
11.12
 

Junior-ungdom
100 m häck (76.2 cm, 8.5 m)
Ute Visa/dölj alla resultat
2004
14.94
 2h2-17
Falun
14.8
-1.6
2005
14.53
1-17
Gävle
10.9
 +1.1
Kula (3.0 kg)
Inne Visa/dölj alla resultat
2005
10.06
1-17
Umeå
9.2
 
Ute
Höjd
SM 2005 2
1.84
SM 2006 3
1.83
SM 2008 3
1.82
3
1.82
SM 2009 2
1.83
SM 2011 3
1.82
SM 2014 3
1.84
SM 2015 2
1.92
SM 2017 2
1.85
SM 2019 1
1.88
SM 2020 1
1.95
Längd
SM 2006 5
5.84
5
Q
5.81w
SM 2019 4
6.14
3
Q
6.00
Tresteg
SM 2014 4
12.46w
SM 2016 5
12.60
Femkamp
SM 2008 3
3.721
Inne
Höjd
ISM 2005 2
1.83
ISM 2006 4
1.77
ISM 2007 5
1.79
ISM 2009 1
1.81
ISM 2018 1
1.92
ISM 2019 3
1.88
Längd
ISM 2006 6
5.85
3
QA
5.92
ISM 2019 2
6.33
Tresteg
ISM 2010 5
12.13
Femkamp
ISM 2009 1
3.935

Junior-ungdom
Ute
Höjd
USM 2004 1
17
1.86
USM 2005 1
17
1.79
JSM 2006 1
19
1.84
JSM 2007 1
19
1.82
JSM 2008 1
22
1.83
Inne
60 m häck
IJSM 2009 6
22
9.30
Höjd
IUSM 2005 1
17
1.78
IJSM 2006 2
19
1.81
IJSM 2009 1
22
1.84
1
22
1.84
Längd
IJSM 2009 1
22
5.84
Ute
Höjd
VM 2015 18
18
Q
1.89
EM 2016 22
22
Q
1.85
OS 2016 29
29
Q
1.85
VM 2017 21
=21
Q
1.85
EM 2018 13
1.87
9
Q
1.90
VM 2019 18
18
Q
1.85
Inne
Höjd
IVM 2016 8
1.93
IVM 2018 7
1.84
IEM 2019 7
1.91
1
Q
1.93

Lag-EM och Europacupen
Höjd
Super L 2015 4
1.97
Super L 2019 2
1.94
Längd
Super L 2019 7
6.29

Junior-ungdom
Höjd
UVM 2005 5
17
1.82
4
17
QA
1.74
JVM 2006 8
19
1.80
5
19
Q
1.83
JEM19 2007 1
19
1.82
7
19
Q
1.80
JEM22 2009 8
22
1.83
=9
22
Q
1.83