Kooteepee vs SJK: result 0-1 and analysis
YkkönenRegular Season - 6Kick-off on May 24, 2012 at 03:30 PM (UTC)Arto Tolsa Areena
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What was the result of Kooteepee vs SJK?
SJK won 0-1 on May 24, 2012.
Goalscorers
- 34′Justin MooseSJK
Official lineup for Kooteepee vs SJK
The starting elevens fielded at kick-off.
Kooteepee
- 10Arttu Seppälä
- 16Samuli Kaivonurmi
- 32A. Wheeler
- 8J. Laaksonen
- 17Marko Tyyskä
- 22S. Kvist
- 27Juho Nykänen
- 1L. Pirhonen
- 6Erkka Lansimies
- 13G. Ositashvili
- 25Henri Järviniemi
SJK
- 15Kim Palosaari
- 4R. Dorman
- 6Aki Sipilä
- 7C. Sund
- 8P. Lomski
- 11Mikko Ylihärsilä
- 18Justin Moose
- 19Ville Ylinen
- 23Jyri Hietaharju
- 3M. Väänänen
- 1Luis Fernando Lourenco da Silva
What is the recent form of both teams?
Over their last 11 matches in all competitions, Kooteepee have 5 wins, 2 draws and 4 defeats; SJK have 5, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2012 | Viikingit(away) | 0-1 | Ykkönen |
| May 17, 2012 | Rops(away) | 1-3 | Ykkönen |
| May 13, 2012 | Hämeenlinna(home) | 0-0 | Ykkönen |
| May 9, 2012 | HJK Helsinki(away) | 0-3 | Suomen Cup |
| May 5, 2012 | OPS Oulu(home) | 1-1 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2012 | Hämeenlinna(away) | 2-0 | Ykkönen |
| May 17, 2012 | PK-35 Vantaa(home) | 2-1 | Ykkönen |
| May 12, 2012 | Viikingit(away) | 2-0 | Ykkönen |
| May 5, 2012 | HIFK Helsinki(home) | 3-1 | Ykkönen |
| Apr 28, 2012 | JIPPO(away) | 1-1 | Ykkönen |
How many goals should we expect?
Kooteepee score 1.5 and concede 0.9 goals per match over their last 11; SJK score 2.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kooteepee | 1.5 | 0.9 | 5 | 3/11 | 6/11 |
| SJK | 2.1 | 1.0 | 2 | 5/7 | 4/7 |
Over the last 11 matches in all competitions.
A question about Kooteepee vs SJK?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy