FF Jaro vs KPV Kokkola: result 0-1 and analysis
YkkönenRegular Season - 3Kick-off on May 21, 2016 at 11:00 AM (UTC)Jakobstads Centralplan (Pietarsaaren Keskuskenttä), Jacobstad
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What was the result of FF Jaro vs KPV Kokkola?
KPV Kokkola won 0-1 on May 21, 2016.
Goalscorers
- 60′W. TshibasuKPV Kokkola
Official lineup for FF Jaro vs KPV Kokkola
The starting elevens fielded at kick-off.
FF Jaro
- 13A. Aliev
- 30S. Paintsil
- 2Hassoma Bino Bamba
- 3M. Kronholm
- 7Thomas Kula
- 10J. Emet
- 15W. Moore
- 22Jamar Dixon
- 4Alberton Fortuné Macomba
- 6J. Brunell
- 23S. Jammeh
KPV Kokkola
- 10Irakli Sirbiladze
- 11Kim Palosaari
- 15Henri Myntti
- 2Matthew Mendy
- 5Dawda Bah
- 8W. Tshibasu
- 12Aki Sipilä
- 18Mike Banner
- 6Teemu Mäki
- 21T. Rauhala
- 1Joonas Myllymäki
What is the recent form of both teams?
Over their last 15 matches in all competitions, FF Jaro have 2 wins, 8 draws and 5 defeats; KPV Kokkola have 3, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2016 | JJK(away) | 1-1 | Ykkönen |
| May 8, 2016 | Haka(home) | 0-0 | Ykkönen |
| May 4, 2016 | AC Oulu(away) | 1-0 | Ykkönen |
| Apr 29, 2016 | Turku PS(home) | 1-1 | Ykkönen |
| Mar 19, 2016 | VPS(home) | 0-2 | Suomen Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | AC Oulu(home) | 2-2 | Ykkönen |
| May 4, 2016 | Haka(away) | 3-0 | Ykkönen |
| Apr 29, 2016 | GrIFK(home) | 3-0 | Ykkönen |
| Apr 24, 2016 | EIF(home) | 2-0 | Ykkönen |
How many goals should we expect?
FF Jaro score 0.7 and concede 0.9 goals per match over their last 15; KPV Kokkola score 2.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FF Jaro | 0.7 | 0.9 | 5 | 6/15 | 2/15 |
| KPV Kokkola | 2.5 | 0.5 | 3 | 1/4 | 3/4 |
Over the last 15 matches in all competitions.
A question about FF Jaro vs KPV Kokkola?
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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