Kooteepee vs JJK: result 1-2 and analysis
YkkönenRegular Season - 13Kick-off on September 11, 2014 at 03:30 PM (UTC)Arto Tolsa Areena
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What was the result of Kooteepee vs JJK?
JJK won 1-2 on September 11, 2014.
Goalscorers
- 19′M. ManninenJJK
- 61′Antto HilskaJJK (pen.)
- 78′J. MäkeläKooteepee
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kooteepee have 9 wins, 2 draws and 4 defeats; JJK have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2014 | Haka(home) | 3-0 | Ykkönen |
| Aug 23, 2014 | AC Oulu(away) | 1-1 | Ykkönen |
| Aug 17, 2014 | Viikingit(away) | 3-0 | Ykkönen |
| Aug 11, 2014 | PK-35 Vantaa(home) | 1-3 | Ykkönen |
| Aug 7, 2014 | HIFK Helsinki(away) | 1-4 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2014 | AC Oulu(away) | 1-3 | Ykkönen |
| Sep 1, 2014 | HIFK Helsinki(home) | 0-4 | Ykkönen |
| Aug 25, 2014 | FC jazz(home) | 1-3 | Ykkönen |
| Aug 16, 2014 | Ilves(away) | 2-1 | Ykkönen |
| Aug 11, 2014 | Viikingit(home) | 4-0 | Ykkönen |
What does the head-to-head say?
Across the last 2 meetings: 1 Kooteepee win, 0 draws, 1 JJK win.
| Date | Score | Competition |
|---|---|---|
| Jul 16, 2014 | JJK 2-1 Kooteepee | Ykkönen |
| May 28, 2014 | Kooteepee 3-1 JJK | Ykkönen |
How many goals should we expect?
Kooteepee score 2.3 and concede 1.2 goals per match over their last 15; JJK score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kooteepee | 2.3 | 1.2 | 6 | 9/15 | 13/15 |
| JJK | 1.7 | 1.7 | 2 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | JJK | 26 | 8 | 7 | 11 | 56 | 59 | 31 |
A question about Kooteepee vs JJK?
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