AC Kajaani vs JIPPO: result 4-0 and analysis
YkkönenRegular Season - 26Kick-off on September 29, 2013 at 01:00 PM (UTC)Kajaanin liikuntapuisto, Kajaani
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What was the result of AC Kajaani vs JIPPO?
AC Kajaani won 4-0 on September 29, 2013.
Goalscorers
- 61′M. NzekweAC Kajaani
- 80′K. SamsoniaAC Kajaani
- 89′A. AkbarAC Kajaani
- 90′Q. OseiAC Kajaani
What is the recent form of both teams?
Over their last 15 matches in all competitions, AC Kajaani have 1 win, 3 draws and 11 defeats; JIPPO have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2013 | Viikingit(home) | 0-3 | Ykkönen |
| Sep 15, 2013 | AC Oulu(away) | 0-4 | Ykkönen |
| Aug 31, 2013 | Kooteepee(away) | 0-2 | Ykkönen |
| Aug 27, 2013 | Ilves(away) | 2-0 | Ykkönen |
| Aug 24, 2013 | PK-35 Vantaa(home) | 2-3 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2013 | Ilves(away) | 2-1 | Ykkönen |
| Sep 15, 2013 | Haka(home) | 2-1 | Ykkönen |
| Sep 7, 2013 | OPS Oulu(away) | 0-3 | Ykkönen |
| Sep 1, 2013 | Viikingit(away) | 1-1 | Ykkönen |
| Aug 24, 2013 | AC Oulu(home) | 2-0 | Ykkönen |
What does the head-to-head say?
Across the last 2 meetings: 0 AC Kajaani wins, 1 draw, 1 JIPPO win.
| Date | Score | Competition |
|---|---|---|
| Jul 28, 2013 | JIPPO 1-1 AC Kajaani | Ykkönen |
| Jun 9, 2013 | AC Kajaani 0-1 JIPPO | Ykkönen |
How many goals should we expect?
AC Kajaani score 1.1 and concede 2.6 goals per match over their last 15; JIPPO score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AC Kajaani | 1.1 | 2.6 | 1 | 9/15 | 10/15 |
| JIPPO | 0.9 | 1.0 | 4 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about AC Kajaani vs JIPPO?
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