JJK vs EIF: result 5-1 and analysis
YkkönenRegular Season - 12Kick-off on September 15, 2015 at 03:30 PM (UTC)Harjun stadion, Jyväskylä
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What was the result of JJK vs EIF?
JJK won 5-1 on September 15, 2015.
Goalscorers
- 12′Antto TapaninenJJK
- 28′Antto HilskaJJK
- 70′B. KällmanEIF
- 76′R. TaylorJJK
- 81′B. HanslianJJK
- 90′Niko MarkkulaJJK (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, JJK have 7 wins, 5 draws and 3 defeats; EIF have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2015 | PS Kemi Kings(away) | 0-2 | Ykkönen |
| Aug 27, 2015 | MP(home) | 3-2 | Ykkönen |
| Aug 20, 2015 | Haka(away) | 0-1 | Ykkönen |
| Aug 15, 2015 | AC Oulu(home) | 0-0 | Ykkönen |
| Aug 8, 2015 | PK-35 Vantaa(away) | 2-0 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2015 | Haka(away) | 1-0 | Ykkönen |
| Aug 29, 2015 | FC jazz(home) | 0-0 | Ykkönen |
| Aug 22, 2015 | VIFK(away) | 1-1 | Ykkönen |
| Aug 15, 2015 | MP(home) | 1-0 | Ykkönen |
| Aug 8, 2015 | AC Oulu(away) | 1-2 | Ykkönen |
What does the head-to-head say?
Across the last 2 meetings: 1 JJK win, 1 draw, 0 EIF wins.
| Date | Score | Competition |
|---|---|---|
| Jul 8, 2015 | EIF 1-1 JJK | Ykkönen |
| May 13, 2015 | JJK 2-1 EIF | Ykkönen |
How many goals should we expect?
JJK score 1.5 and concede 1.0 goals per match over their last 15; EIF score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JJK | 1.5 | 1.0 | 5 | 8/15 | 8/15 |
| EIF | 1.1 | 1.7 | 4 | 7/15 | 7/15 |
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 JJK vs EIF?
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