AC Kajaani vs JIPPO: result 0-1 and analysis
YkkönenRegular Season - 8Kick-off on June 9, 2013 at 03:30 PM (UTC)Kajaanin liikuntapuisto, Kajaani
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What was the result of AC Kajaani vs JIPPO?
JIPPO won 0-1 on June 9, 2013.
Goalscorers
- 52′V. NykänenJIPPO
Official lineup for AC Kajaani vs JIPPO
The starting elevens fielded at kick-off.
AC Kajaani
- 19Callistus Chukwu
- 21M. Nzekwe
- 8Q. Osei
- 11K. Samsonia
- 30Mika Hänninen
- 4A. Akbar
- 3N. Junkkari
- 5Simon Chibueze
- 13J. Moilanen
- 17Sampo Lastuvirta
- 1D. Kollar
JIPPO
- 26T. Tahvanainen
- 9Immo Eronen
- 13J. Rissanen
- 14P. Rönkkö
- 22Santeri Sjöblom
- 23Tarmo Koivuranta
- 28V. Nykänen
- 6J. Harju
- 25Tuomas Korpela
- 27Johannes Mononen
- 12L. Hurskainen
What is the recent form of both teams?
Over their last 9 matches in all competitions, AC Kajaani have 2 wins, 2 draws and 5 defeats; JIPPO have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2013 | OPS Oulu(away) | 3-3 | Ykkönen |
| Jun 2, 2013 | Viikingit(home) | 2-1 | Ykkönen |
| May 26, 2013 | AC Oulu(away) | 2-3 | Ykkönen |
| May 19, 2013 | Kooteepee(away) | 0-1 | Ykkönen |
| May 12, 2013 | PK-35 Vantaa(home) | 1-0 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2013 | Ilves(away) | 0-5 | Ykkönen |
| May 26, 2013 | Haka(home) | 0-0 | Ykkönen |
| May 19, 2013 | Viikingit(away) | 1-1 | Ykkönen |
| May 12, 2013 | AC Oulu(home) | 0-1 | Ykkönen |
| May 9, 2013 | PK-35 Vantaa(home) | 0-1 | Ykkönen |
How many goals should we expect?
AC Kajaani score 1.2 and concede 1.8 goals per match over their last 9; JIPPO score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AC Kajaani | 1.2 | 1.8 | 1 | 5/9 | 5/9 |
| JIPPO | 0.7 | 1.3 | 4 | 5/15 | 4/15 |
Over the last 9 matches in all competitions.
A question about AC Kajaani vs JIPPO?
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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