IK Frej vs Angelholms FF: result 1-2 and analysis
SuperettanRegular Season - 4Kick-off on April 23, 2016 at 02:00 PM (UTC)Vikingavallen, Täby
Full time
What was the result of IK Frej vs Angelholms FF?
Angelholms FF won 1-2 on April 23, 2016.
Goalscorers
- 11′Oke AkpovetaIK Frej
- 18′R. FinleyAngelholms FF
- 71′V. ZlojutroAngelholms FF
Official lineup for IK Frej vs Angelholms FF
The starting elevens fielded at kick-off.
IK Frej
- 9Oke Akpoveta
- 15V. Söderström
- 18Joakim Runnemo
- 24P. Åsbrink
- 8P. Silfwer
- 11Adam Gradén
- 2Jakob Vilhelm Glasberg
- 6J. Gustavsson
- 7Richard Spong
- 21Philip Michael Wiström
- 77Marko Atanackovic
Angelholms FF
- 10Philip Bernholtz
- 27R. Finley
- 7S. Carlsén
- 8C. Ljungberg
- 9V. Zlojutro
- 14J. Eiswohld
- 21Marcus Bergholtz
- 4P. Dyrestam
- 6A. Nilsson
- 24D. Stojanovic-Fredin
- 22C. Lindell
What is the recent form of both teams?
Over their last 3 matches in all competitions, IK Frej have 1 win, 1 draw and 1 defeat; Angelholms FF have 2, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2016 | Degerfors IF(away) | 2-2 | Superettan |
| Apr 9, 2016 | Assyriska FF(home) | 2-1 | Superettan |
| Apr 2, 2016 | Gais(away) | 0-2 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2016 | Halmstad(home) | 0-1 | Superettan |
| Apr 11, 2016 | Orgryte IS(away) | 1-0 | Superettan |
| Apr 3, 2016 | Syrianska FC(home) | 1-0 | Superettan |
How many goals should we expect?
IK Frej score 1.3 and concede 1.7 goals per match over their last 3; Angelholms FF score 0.7 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IK Frej | 1.3 | 1.7 | 0 | 2/3 | 2/3 |
| Angelholms FF | 0.7 | 0.3 | 2 | 0/3 | 0/3 |
Over the last 3 matches in all competitions.
A question about IK Frej vs Angelholms FF?
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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