SJK vs PK-35 Vantaa: result 2-1 and analysis
YkkönenRegular Season - 4Kick-off on May 17, 2012 at 01:00 PM (UTC)OmaSP Stadion, Seinäjoki
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What was the result of SJK vs PK-35 Vantaa?
SJK won 2-1 on May 17, 2012.
Goalscorers
- 30′C. SundSJK (pen.)
- 48′Kim PalosaariSJK
- 90′Ymer XhaferiPK-35 Vantaa
Official lineup for SJK vs PK-35 Vantaa
The starting elevens fielded at kick-off.
SJK
- 14Toni-Pekka Lehtinen
- 15Kim Palosaari
- 4R. Dorman
- 7C. Sund
- 8P. Lomski
- 11Mikko Ylihärsilä
- 16Touko Tumanto
- 19Ville Ylinen
- 22Matti Lähitie
- 23Jyri Hietaharju
- 1Luis Fernando Lourenco da Silva
PK-35 Vantaa
- 32J. Santala
- 7John Weckström
- 10Ymer Xhaferi
- 11Otto-Pekka Jurvainen
- 13Esa Terävä
- 18Kalle Kärki
- 24A. Arinze
- 2O. Olatuga
- 4Kim Raimi
- 5Tomi Nyman
- 25Miikka Hakkinen
What is the recent form of both teams?
Over their last 5 matches in all competitions, SJK have 3 wins, 1 draw and 1 defeat; PK-35 Vantaa have 2, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 24, 2012 | FC jazz(away) | 2-3 | Suomen Cup |
| Feb 17, 2012 | VIFK(away) | 3-1 | Suomen Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2012 | Rops(home) | 0-0 | Ykkönen |
| May 7, 2012 | Viikingit(away) | 4-0 | Ykkönen |
| Apr 28, 2012 | Hämeenlinna(home) | 9-0 | Ykkönen |
| Feb 23, 2012 | HIFK Helsinki(away) | 0-3 | Suomen Cup |
How many goals should we expect?
SJK score 2.2 and concede 1.2 goals per match over their last 5; PK-35 Vantaa score 3.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SJK | 2.2 | 1.2 | 1 | 4/5 | 3/5 |
| PK-35 Vantaa | 3.3 | 0.8 | 3 | 0/4 | 3/4 |
Over the last 5 matches in all competitions.
A question about SJK vs PK-35 Vantaa?
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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