Atvidabergs FF vs Gais: result 4-2 and analysis
SuperettanRegular Season - 28Kick-off on October 24, 2016 at 05:00 PM (UTC)Kopparvallen, Åtvidaberg
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What was the result of Atvidabergs FF vs Gais?
Atvidabergs FF won 4-2 on October 24, 2016.
Goalscorers
- 19′Karl Simon AlexanderssonAtvidabergs FF
- 25′Ammar AhmedAtvidabergs FF
- 67′J. RamhornGais
- 75′Shkodran MaholliAtvidabergs FF
- 77′Shkodran MaholliAtvidabergs FF
- 83′Dardan RexhepiGais
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; Gais have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | IFK Varnamo(away) | 3-1 | Superettan |
| Oct 1, 2016 | Dalkurd FF(home) | 1-2 | Superettan |
| Sep 26, 2016 | Sirius(away) | 3-3 | Superettan |
| Sep 22, 2016 | Syrianska FC(home) | 2-1 | Superettan |
| Sep 16, 2016 | Varbergs BoIS FC(home) | 0-1 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2016 | Halmstad(home) | 2-1 | Superettan |
| Oct 3, 2016 | Degerfors IF(away) | 0-1 | Superettan |
| Sep 25, 2016 | Ljungskile SK(home) | 0-3 | Superettan |
| Sep 20, 2016 | Angelholms FF(away) | 5-1 | Superettan |
| Sep 17, 2016 | AFC Eskilstuna(home) | 1-1 | Superettan |
What does the head-to-head say?
Across the last 1 meetings: 0 Atvidabergs FF win(s), 0 draw(s), 1 Gais win(s).
| Date | Score | Competition |
|---|---|---|
| May 11, 2016 | Gais 1-0 Atvidabergs FF | Superettan |
Last archived meeting: Gais vs Atvidabergs FF on May 11, 2016
How many goals should we expect?
Atvidabergs FF score 1.9 and concede 2.0 goals per match over their last 15; Gais score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atvidabergs FF | 1.9 | 2.0 | 1 | 11/15 | 13/15 |
| Gais | 1.7 | 1.2 | 3 | 8/15 | 9/15 |
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