EIF vs FF Jaro: result 1-0 and analysis
YkkönenRegular Season - 5Kick-off on June 8, 2016 at 03:30 PM (UTC)Ekenäs Sparbank Arena TN, Raseborg
Full time
What was the result of EIF vs FF Jaro?
EIF won 1-0 on June 8, 2016.
Goalscorers
- 74′B. KindaEIF
Official lineup for EIF vs FF Jaro
The starting elevens fielded at kick-off.
EIF
- 20B. Kinda
- 22S. Jovović
- 9J. Estlander
- 10Tamás Gruborovics
- 23Simon Sid
- 25Ville Sevon
- 31K. Isaksson
- 3S. Timoska
- 87J. Aalto
- 4Akim Saeed Sairinen
- 40T. Murray
FF Jaro
- 8Papa Niang
- 9J. Alvarado
- 3M. Kronholm
- 7Thomas Kula
- 10J. Emet
- 15W. Moore
- 19Josue Soto
- 20O. Sandström
- 22Jamar Dixon
- 6J. Brunell
- 25E. Öhberg
What is the recent form of both teams?
Over their last 15 matches in all competitions, EIF have 7 wins, 2 draws and 6 defeats; FF Jaro have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2016 | AC Oulu(away) | 3-5 | Ykkönen |
| May 23, 2016 | GrIFK(home) | 3-0 | Ykkönen |
| May 16, 2016 | Haka(home) | 1-1 | Ykkönen |
| May 8, 2016 | Kooteepee(away) | 2-1 | Ykkönen |
| May 4, 2016 | FC jazz(home) | 3-2 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Kooteepee(away) | 2-1 | Ykkönen |
| May 21, 2016 | KPV Kokkola(home) | 0-1 | Ykkönen |
| 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 |
How many goals should we expect?
EIF score 1.7 and concede 1.7 goals per match over their last 15; FF Jaro score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| EIF | 1.7 | 1.7 | 3 | 8/15 | 9/15 |
| FF Jaro | 0.7 | 1.0 | 4 | 6/15 | 3/15 |
Over the last 15 matches in all competitions.
A question about EIF vs FF Jaro?
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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