17.10
26.8
21‐22.9
24.10
24.10
9.10
19.10
3.10
23.10
4.9
16.10
17.10
24.10
24.10
24.10
21.10
23.10
23‐24.10
9.9
17.10
16.10
23.10
23.10
22.10
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
Arena: Timrå IP   Arrangör: Timrå AIF
Tävlande: 5 (3+2)   Starter: 5 (3+2)


select distinct results21.*, 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, results21.Ind AS Indiiy, results21.ID AS ID, results21.ID AS IDI, Events.TF AS type, results21.eventname AS en2, results21.Country AS RealCountry, IF(EndDate Is Null,'',CONCAT(DAYOFMONTH(results21.Date),' ')) AS Datti1, IF(EndDate Is Null,'',substring(Monthname(results21.Date),1,3)) AS Datti2, Round.Roundname, Events.Eventname, Pos.PosName, Sex.Sexi, CASE WHEN results21.AGO IN (12,15) THEN b.AGName ELSE a.AGName END AS AGName, CASE WHEN results21.AGO IN (12,15) THEN b.AGO ELSE a.AGO END AS agoo, `2010`.irrelagularities.Irrname, CASE WHEN results21.Sex = 1 THEN `2010`.menwl.BB ELSE `2010`.womenwl.BB END AS WL, CASE WHEN results21.Sex = 1 THEN `2010`.menwl.Standing ELSE `2010`.womenwl.Standing END AS Standingi, CASE WHEN results21.Date<=Club10end THEN Club10 WHEN results21.Date<=Club9end THEN Club9 WHEN results21.Date<=Club8end THEN Club8 WHEN results21.Date<=Club7end THEN Club7 WHEN results21.Date<=Club6end THEN Club6 WHEN results21.Date<=Club5end THEN Club5 WHEN results21.Date<=Club4end THEN Club4 WHEN results21.Date<=Club3end THEN Club3 WHEN results21.Date<=Club2end THEN Club2 ELSE sweclubsat.Club END AS RealClub, posswe.PosName AS posswe, combinedmen.eventno AS combM, combinedwomen.eventno AS combW FROM results21 LEFT JOIN `2010`.sweclubsat ON sweclubsat.ID=results21.ID AND CASE WHEN results21.Sex=1 and (results21.secondarypos not rlike ('K|F') or results21.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(results21.EventN AS UNSIGNED) = Events.Orderi LEFT JOIN Sex ON results21.Sex = Sex.Sex LEFT JOIN Comp ON results21.CID = Comp.CID LEFT JOIN AG as a ON results21.AGO = a.AGO LEFT JOIN AG as b ON results21.Points = b.AgeGroup LEFT OUTER JOIN Pos ON results21.PosOrderg = Pos.Orderi LEFT OUTER JOIN Round ON results21.Round = Round.Ro LEFT JOIN `2010`.irrelagularities ON `2010`.irrelagularities.Irr = results21.Irr LEFT JOIN `2010`.menwl ON `2010`.menwl.iid = results21.iid LEFT JOIN `2010`.womenwl ON `2010`.womenwl.iid = results21.iid LEFT JOIN world.countries ON results21.Country=countries.Country LEFT JOIN results.posswe ON results21.PosOrderg = posswe.Orderi LEFT JOIN `2010`.combinedmen ON results21.IID=combinedmen.parentid AND results21.Sex=1 LEFT JOIN `2010`.combinedwomen ON results21.IID=combinedwomen.parentid AND results21.Sex=2 LEFT JOIN `2010`.womenpbestsweden ON results21.iid=womenpbestsweden.iid AND (results21.Sex=2 OR results21.secondarypos rlike ('K|F')) AND womenpbestsweden.Roundi IS NULL LEFT JOIN `2010`.womensbestsweden ON results21.iid=womensbestsweden.iid AND (results21.Sex=2 OR results21.secondarypos rlike ('K|F')) AND womensbestsweden.Roundi IS NULL WHERE results21.CID= 12995644 AND `2010`.womenwl.Roundi IS NULL AND `2010`.menwl.Roundi IS NULL ORDER BY Sex, CASE WHEN results21.AGO=15 THEN COALESCE(agoo,0)+100000 ELSE agoo END, combM, combW, RealEventN2, RealEventN, CASE WHEN results21.AGO=12 THEN 999999 ELSE results21.AGO END, results21.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 Castorama     


Final A

Final

1Jens Forslund
2.174
Timrå AIF
2.174
PB
  
2Tomas GerdsdorffTimrå AIF
1.376
PB
  
3Joakim Brundin
1.260
Timrå AIF
1.260
PB
  
Forslund10.8642.5332.6336.04
Gerdsdorff8.4834.1021.0824.26
Brundin8.7127.9920.2124.03
M Kula castorama    


Final A

Final

Jens Forslund
10.86
Timrå AIF
10.86
SB
  
Joakim BrundinTimrå AIF
8.71
PB
  
Tomas GerdsdorffTimrå AIF
8.48
SB
  
Forslund10.1710.86x10.84
Brundin7.988.158.148.71
Gerdsdorff8.318.058.488.33
M Spjut castorama    


Final A

Final

Jens Forslund
42.53
Timrå AIF
42.53
SB
  
Tomas GerdsdorffTimrå AIF
34.10
SB
  
Joakim Brundin
27.99
Timrå AIF
27.99
PB
  
Forslundx41.7042.5342.01
Gerdsdorff33.1734.10x32.16
Brundinx25.2027.9926.34
M Diskus castorama    


Final A

Final

Jens Forslund
32.63
Timrå AIF
32.63
PB
  
Tomas GerdsdorffTimrå AIF
21.08
PB
  
Joakim Brundin
20.21
Timrå AIF
20.21
PB
  
Forslund31.7032.6330.5032.03
Gerdsdorff19.7621.08x20.74
Brundin19.86x20.21x
M Slägga castorama    


Final A

Final

Jens Forslund
36.04
Timrå AIF
36.04
SB
  
Tomas GerdsdorffTimrå AIF
24.26
PB
  
Joakim Brundin
24.03
Timrå AIF
24.03
PB
  
Forslund34.31x36.0435.21
Gerdsdorff23.60x24.2624.00
Brundinx22.1324.0323.16
Kvinnor
K Castorama     


Final A

Final

1Marlene Broman
2.456
Timrå AIF
2.456
SB
  
2Emma Vikström
1.838
Timrå AIF
1.838
SB
  
Broman11.1923.8928.7741.36
Vikström6.4718.2822.6540.35
K Kula castorama    


Final A

Final

Marlene Broman
11.19
Timrå AIF
11.19
SB
  
Emma VikströmTimrå AIF
6.47
SB
  
Broman11.1410.4811.1910.98
Vikströmx6.47x5.86
K Spjut castorama    


Final A

Final

Marlene Broman
23.89
Timrå AIF
23.89
SB
  
Emma Vikström
18.28
Timrå AIF
18.28
SB
  
Broman21.0722.3723.89x
Vikström17.6018.28xx
K Diskus castorama    


Final A

Final

Marlene Broman
28.77
Timrå AIF
28.77
SB
  
Emma Vikström
22.65
Timrå AIF
22.65
SB
  
Broman26.50x28.77x
Vikströmx22.6521.80x
K Slägga castorama    


Final A

Final

Marlene Broman
41.36
Timrå AIF
41.36
SB
  
Emma Vikström
40.35
Timrå AIF
40.35
  
Broman40.3641.36xx
Vikström39.81x40.3540.10