JIPPO vs SJK: result 1-1 and analysis
YkkönenRegular Season - 1Kick-off on April 28, 2012 at 02:00 PM (UTC)Mehtimäki tekonurmi, Joensuu
Full time
What was the result of JIPPO vs SJK?
JIPPO and SJK drew 1-1 on April 28, 2012.
Goalscorers
- 76′Toni-Pekka LehtinenSJK
- 87′A. NgueukamJIPPO
Official lineup for JIPPO vs SJK
The starting elevens fielded at kick-off.
JIPPO
- 11A. Ngueukam
- 5S. Gruda
- 8Immo Eronen
- 10Olli-Pekka Itala
- 14P. Rönkkö
- 28V. Nykänen
- 2T. Sormunen
- 6J. Harju
- 20A. Åke
- 25Tuomas Korpela
- 1S. Korpelainen
SJK
- 14Toni-Pekka Lehtinen
- 4R. Dorman
- 6Aki Sipilä
- 7C. Sund
- 8P. Lomski
- 10Chris Cleaver
- 18Justin Moose
- 19Ville Ylinen
- 22Matti Lähitie
- 23Jyri Hietaharju
- 1Luis Fernando Lourenco da Silva
What is the recent form of both teams?
Over their last 4 matches in all competitions, JIPPO have 4 wins, 0 draws and 0 defeats; SJK have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2012 | EIF(away) | 2-0 | Suomen Cup |
| Apr 7, 2012 | Lahti(home) | 1-0 | Suomen Cup |
| Mar 24, 2012 | NuPS(away) | 7-1 | Suomen Cup |
| Mar 11, 2012 | PK-37(away) | 2-0 | Suomen Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2012 | FC jazz(away) | 2-3 | Suomen Cup |
| Feb 17, 2012 | VIFK(away) | 3-1 | Suomen Cup |
How many goals should we expect?
JIPPO score 3.0 and concede 0.3 goals per match over their last 4; SJK score 2.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JIPPO | 3.0 | 0.3 | 3 | 1/4 | 1/4 |
| SJK | 2.5 | 2.0 | 0 | 2/2 | 2/2 |
Over the last 4 matches in all competitions.
A question about JIPPO vs SJK?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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