Atvidabergs FF vs Dalkurd FF: result 1-2 and analysis
SuperettanRegular Season - 26Kick-off on October 1, 2016 at 02:00 PM (UTC)Kopparvallen, Åtvidaberg
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What was the result of Atvidabergs FF vs Dalkurd FF?
Dalkurd FF won 1-2 on October 1, 2016.
Goalscorers
- 10′Mirkan AydınDalkurd FF
- 18′Ahmed Awad MohammadDalkurd FF
- 55′Shkodran MaholliAtvidabergs FF
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atvidabergs FF have 5 wins, 4 draws and 6 defeats; Dalkurd FF have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 11, 2016 | Halmstad(away) | 2-2 | Superettan |
| Aug 28, 2016 | Degerfors IF(home) | 3-2 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2016 | Orgryte IS(home) | 2-0 | Superettan |
| Sep 21, 2016 | Varbergs BoIS FC(away) | 2-3 | Superettan |
| Sep 16, 2016 | Angelholms FF(home) | 1-1 | Superettan |
| Sep 10, 2016 | IK Frej(away) | 1-2 | Superettan |
| Aug 27, 2016 | Syrianska FC(home) | 2-1 | Superettan |
What does the head-to-head say?
Across the last 1 meetings: 0 Atvidabergs FF win(s), 0 draw(s), 1 Dalkurd FF win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 4, 2016 | Dalkurd FF 5-0 Atvidabergs FF | Superettan |
Last archived meeting: Dalkurd FF vs Atvidabergs FF on Jun 4, 2016
How many goals should we expect?
Atvidabergs FF score 1.7 and concede 2.2 goals per match over their last 15; Dalkurd FF score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atvidabergs FF | 1.7 | 2.2 | 1 | 10/15 | 12/15 |
| Dalkurd FF | 1.5 | 0.7 | 7 | 7/15 | 6/15 |
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