21.10
10.10
9.10
10.10
27.9
3.10
9.10
18.9
2.10
17.10
2.10
18.9
16.10
10.10
14.10
30.9
30.9
16.10
16.10
16.10
3.10
17.10
14.10
9.10
3.10
10.10
17.10
17.10
16.10
16.10
3.10
26.9
13.10
7.10
14.10
9.10
28.8
6.10
9.10
13.10
9.10
9.10
9.10
12.10
9.10
19.9
12.10
10.10
10.10
9.10
10.10
3.10
10.10
10.10
10.10
10.10
10.10
10.10
10.10
10.10
10.10
9.10
9.10
3.10
30.9
10.10
25.9
13.9
27.9
19.9
9.10
3.10
26.9
9.10
7.10
7.10
6.10
10.10
9.10
9.10
9.10
7.10
7.10
30.9
9.10
9.10
2.10
2.10
26.9
26.9
5.10
2.10
2.10
3.10
2.10
26.9
29.9
27.9
22.9
20.9
Tävlande: 15 (7+8)   Starter: 15 (7+8)


select distinct results17.*, womenpbestsweden.BB AS PBwomen, womensbestsweden.BB AS SBwomen, CASE WHEN EventN IN (910, 193) THEN EventN+RealMetres/100 ELSE EventN END AS RealEventN, RealEventN AS RealEventN2, '' AS SM, countries.Countryfull, Events.Event AS eventry, results17.Ind AS Indiiy, results17.ID AS ID, results17.ID AS IDI, Events.TF AS type, results17.eventname AS en2, results17.Country AS RealCountry, IF(EndDate Is Null,'',CONCAT(DAYOFMONTH(results17.Date),' ')) AS Datti1, IF(EndDate Is Null,'',substring(Monthname(results17.Date),1,3)) AS Datti2, Round.Roundname, Events.Eventname, Pos.PosName, Sex.Sexi, CASE WHEN results17.AGO IN (12,15) THEN b.AGName ELSE a.AGName END AS AGName, CASE WHEN results17.AGO IN (12,15) THEN b.AGO ELSE a.AGO END AS agoo, `2010`.irrelagularities.Irrname, CASE WHEN results17.Sex = 1 THEN `2010`.menwl.BB ELSE `2010`.womenwl.BB END AS WL, CASE WHEN results17.Sex = 1 THEN `2010`.menwl.Standing ELSE `2010`.womenwl.Standing END AS Standingi, CASE WHEN results17.Date<=Club10end THEN Club10 WHEN results17.Date<=Club9end THEN Club9 WHEN results17.Date<=Club8end THEN Club8 WHEN results17.Date<=Club7end THEN Club7 WHEN results17.Date<=Club6end THEN Club6 WHEN results17.Date<=Club5end THEN Club5 WHEN results17.Date<=Club4end THEN Club4 WHEN results17.Date<=Club3end THEN Club3 WHEN results17.Date<=Club2end THEN Club2 ELSE sweclubsat.Club END AS RealClub, posswe.PosName AS posswe, combinedmen.eventno AS combM, combinedwomen.eventno AS combW FROM results17 LEFT JOIN `2010`.sweclubsat ON sweclubsat.ID=results17.ID AND CASE WHEN results17.Sex=1 and (results17.secondarypos not rlike ('K|F') or results17.secondarypos is null) THEN sweclubsat.gender='M' ELSE sweclubsat.gender='W' END LEFT JOIN (SELECT events.*, eventsext.Orderi AS RealEventN FROM events LEFT JOIN `2010`.eventsext ON events.Event=eventsext.Event) AS Events ON CAST(results17.EventN AS UNSIGNED) = Events.Orderi LEFT JOIN Sex ON results17.Sex = Sex.Sex LEFT JOIN Comp ON results17.CID = Comp.CID LEFT JOIN AG as a ON results17.AGO = a.AGO LEFT JOIN AG as b ON results17.Points = b.AgeGroup LEFT OUTER JOIN Pos ON results17.PosOrderg = Pos.Orderi LEFT OUTER JOIN Round ON results17.Round = Round.Ro LEFT JOIN `2010`.irrelagularities ON `2010`.irrelagularities.Irr = results17.Irr LEFT JOIN `2010`.menwl ON `2010`.menwl.iid = results17.iid LEFT JOIN `2010`.womenwl ON `2010`.womenwl.iid = results17.iid LEFT JOIN world.countries ON results17.Country=countries.Country LEFT JOIN results.posswe ON results17.PosOrderg = posswe.Orderi LEFT JOIN `2010`.combinedmen ON results17.IID=combinedmen.parentid AND results17.Sex=1 LEFT JOIN `2010`.combinedwomen ON results17.IID=combinedwomen.parentid AND results17.Sex=2 LEFT JOIN `2010`.womenpbestsweden ON results17.iid=womenpbestsweden.iid AND (results17.Sex=2 OR results17.secondarypos rlike ('K|F')) AND womenpbestsweden.Roundi IS NULL LEFT JOIN `2010`.womensbestsweden ON results17.iid=womensbestsweden.iid AND (results17.Sex=2 OR results17.secondarypos rlike ('K|F')) AND womensbestsweden.Roundi IS NULL WHERE results17.CID= 12896351 AND `2010`.womenwl.Roundi IS NULL AND `2010`.menwl.Roundi IS NULL ORDER BY Sex, CASE WHEN results17.AGO=15 THEN COALESCE(agoo,0)+100000 ELSE agoo END, combM, combW, RealEventN2, RealEventN, CASE WHEN results17.AGO=12 THEN 999999 ELSE results17.AGO END, results17.Round, Posorderg, CASE WHEN Remarks Is Not Null THEN CASE WHEN Pos1>0 THEN 2 ELSE 3 END ELSE CASE WHEN Pos1>0 THEN 0 ELSE 1 END END, CASE WHEN Pos1 IS NOT NULL THEN Pos1 ELSE 999999 END, SortResult, RealMetres DESC

Män
M Tiokamp     
20 - 21 maj

Final A

Final
20 - 21 maj
1Luca Bernaschina
Luca Bernaschina 95, SUI
7.396
95SUI
7.396
PB
  
2Pascal Magyar
Pascal Magyar 95, SUI
7.357
95SUI
7.357
PB
  
3Fabian Marugg
Fabian Marugg 95, SUI
7.320
95SUI
7.320
PB
  
4Kevin FanklSWE
7.149
SB
  
5Matthias Steinmann
Matthias Steinmann 92, SUI
7.077
92SUI
7.077
PB
  
Bernaschina11.32/+0.27.46w/+3.713.531.8350.3815.06/0.039.394.6053.524:52.36
Magyar11.50/0.06.85w/+2.513.951.9551.0415.26/0.045.874.1053.574:39.05
Marugg11.29/+0.27.16w/+3.913.801.9250.5015.50/0.040.454.5047.184:43.01
Fankl11.20/+0.26.91/-3.313.051.7750.7815.40/-0.737.484.4060.224:52.88
Steinmann11.31/+0.27.05w/+3.412.481.8650.7115.97/0.038.854.7045.044:45.03
P19 Tiokamp (P19)     
20 - 21 maj

Final A

Final
20 - 21 maj
1Jakob SamuelssonSWE
7.620
PB
  
3 SWE P19 AT
2Finley Gaio
Finley Gaio 99, SUI
7.234
99SUI
7.234
PB
  
Samuelsson11.45/+0.76.70/+0.615.891.8651.0115.52/+0.148.524.5063.404:45.69
Gaio10.96/+0.76.85/+0.213.541.8350.6614.06/-0.738.574.4046.374:56.51
Kvinnor
K Sjukamp     
20 - 21 maj

Final A

Final
20 - 21 maj
1Estefania García
Estefania García 91, DOM
5.400
91DOM
5.400
SB
  
2Celine Albisser
Celine Albisser 96, SUI
5.281
96SUI
5.281
PB
  
3Jessica Rautelin
Jessica Rautelin 97, FIN
5.232
97FIN
5.232
SB
  
4Yoika De Pauw
Yoika De Pauw 95, BEL
5.119
95BEL
5.119
SB
  
5Saga Kivekäs
Saga Kivekäs 97, FIN
5.111
97FIN
5.111
SB
  
6Michelle Baumer
Michelle Baumer 96, SUI
5.001
96SUI
5.001
PB
  
7Julia Francesca Kropf
Julia Francesca Kropf 97, SUI
4.821
97SUI
4.821
SB
  
García14.11w/+2.51.5412.4625.69/+0.65.74/+0.446.892:30.73
Albisser14.19/+1.21.5711.5225.24/+0.65.73/-0.231.802:17.71
Rautelin14.50w/+2.51.5712.0426.25/+1.25.52/+0.237.302:17.26
De Pauw14.87/+1.21.6613.5426.91/+1.05.31/-1.140.722:33.77
Kivekäs13.72w/+2.51.6610.8125.59/+1.25.43/+0.831.262:30.17
Baumer14.43/+1.21.5411.1825.79/+1.05.68/+1.332.272:27.79
Kropf15.54/+1.21.6312.1127.15/+1.05.06/+2.034.382:23.60
F19 Sjukamp     
20 - 21 maj

Final A

Final
20 - 21 maj
1Emelie Nyman WänsethSWE
5.299
PB
  
Nyman Wänseth14.71/+1.51.6912.3626.38/+0.55.70w/+2.341.822:32.09