Atvidabergs FF vs IK Frej: result 1-2 and analysis
SuperettanRegular Season - 2Kick-off on April 10, 2017 at 05:00 PM (UTC)Kopparvallen, Åtvidaberg
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What was the result of Atvidabergs FF vs IK Frej?
IK Frej won 1-2 on April 10, 2017.
Goalscorers
- 50′P. LagerblomAtvidabergs FF
- 51′N. PeterIK Frej
- 71′N. PeterIK Frej
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atvidabergs FF have 6 wins, 3 draws and 6 defeats; IK Frej have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | IFK Varnamo(away) | 0-4 | Superettan |
| Nov 5, 2016 | Angelholms FF(home) | 4-1 | Superettan |
| Oct 29, 2016 | AFC Eskilstuna(away) | 0-3 | Superettan |
| Oct 24, 2016 | Gais(home) | 4-2 | Superettan |
| Oct 16, 2016 | IFK Varnamo(away) | 3-1 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Gefle IF(home) | 2-2 | Superettan |
| Nov 5, 2016 | Degerfors IF(home) | 2-0 | Superettan |
| Oct 31, 2016 | Sirius(away) | 1-1 | Superettan |
| Oct 25, 2016 | Orgryte IS(away) | 1-2 | Superettan |
| Oct 16, 2016 | Ljungskile SK(home) | 1-4 | Superettan |
What does the head-to-head say?
Across the last 2 meetings: 0 Atvidabergs FF win(s), 0 draw(s), 2 IK Frej win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 20, 2016 | IK Frej 2-1 Atvidabergs FF | Superettan |
| Jun 26, 2016 | Atvidabergs FF 0-1 IK Frej | Superettan |
Last archived meeting: IK Frej vs Atvidabergs FF on Aug 20, 2016
How many goals should we expect?
Atvidabergs FF score 2.1 and concede 2.2 goals per match over their last 15; IK Frej score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atvidabergs FF | 2.1 | 2.2 | 0 | 12/15 | 14/15 |
| IK Frej | 1.1 | 1.3 | 5 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy