Atvidabergs FF vs Syrianska FC: result 2-1 and analysis
SuperettanRegular Season - 24Kick-off on September 22, 2016 at 05:00 PM (UTC)Kopparvallen, Åtvidaberg
Full time
What was the result of Atvidabergs FF vs Syrianska FC?
Atvidabergs FF won 2-1 on September 22, 2016.
Goalscorers
- 59′Shkodran MaholliAtvidabergs FF
- 85′M. LiljestrandAtvidabergs FF (o.g.)
- 90′Y. ArquinSyrianska FC
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; Syrianska FC have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 20, 2016 | IK Frej(away) | 1-2 | Superettan |
| Aug 15, 2016 | Trelleborg(away) | 2-5 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Ljungskile SK(away) | 2-1 | Superettan |
| Sep 11, 2016 | Sirius(home) | 0-2 | Superettan |
| Aug 27, 2016 | Dalkurd FF(away) | 1-2 | Superettan |
| Aug 21, 2016 | Assyriska FF(home) | 1-0 | Superettan |
| Aug 11, 2016 | Varbergs BoIS FC(away) | 2-0 | Superettan |
What does the head-to-head say?
Across the last 1 meetings: 0 Atvidabergs FF win(s), 0 draw(s), 1 Syrianska FC win(s).
| Date | Score | Competition |
|---|---|---|
| May 15, 2016 | Syrianska FC 2-0 Atvidabergs FF | Superettan |
Last archived meeting: Syrianska FC vs Atvidabergs FF on May 15, 2016
How many goals should we expect?
Atvidabergs FF score 1.7 and concede 1.9 goals per match over their last 15; Syrianska FC score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atvidabergs FF | 1.7 | 1.9 | 3 | 8/15 | 11/15 |
| Syrianska FC | 0.8 | 1.5 | 3 | 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