IK Frej vs Assyriska FF: result 2-1 and analysis
SuperettanRegular Season - 2Kick-off on April 9, 2016 at 02:00 PM (UTC)Vikingavallen, Täby
Full time
What was the result of IK Frej vs Assyriska FF?
IK Frej won 2-1 on April 9, 2016.
Goalscorers
- 63′M. GencAssyriska FF
- 65′Philip Michael WiströmIK Frej
- 71′Oke AkpovetaIK Frej (pen.)
Official lineup for IK Frej vs Assyriska FF
The starting elevens fielded at kick-off.
IK Frej
- 9Oke Akpoveta
- 10Matias Antonio Ledezma Pimentel
- 18Joakim Runnemo
- 24P. Åsbrink
- 8P. Silfwer
- 11Adam Gradén
- 2Jakob Vilhelm Glasberg
- 6J. Gustavsson
- 7Richard Spong
- 21Philip Michael Wiström
- 77Marko Atanackovic
Assyriska FF
- 10M. Genc
- 24Aziz Corr Nyang
- 3S. Strand
- 9T. Waker
- 22U. Anyora
- 12F. Holster
- 2Mamadou Wague
- 5D. Durmaz
- 6Linus Malmborg
- 13G. Jarl
- 1Robin Malmkvist
What is the recent form of both teams?
In their last match in all competitions, IK Frej have 0 wins, 0 draws and 1 defeat; Assyriska FF have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2016 | Gais(away) | 0-2 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2016 | Dalkurd FF(home) | 2-1 | Superettan |
How many goals should we expect?
IK Frej score 0.0 and concede 2.0 goals per match in their last match; Assyriska FF score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IK Frej | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
| Assyriska FF | 2.0 | 1.0 | 0 | 1/1 | 1/1 |
Over the last match in all competitions.
A question about IK Frej vs Assyriska FF?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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