Atvidabergs FF vs Syrianska Eskilstuna: result 4-0 and analysis
Division 2 - Södra SvealandSödra Svealand - 2Kick-off on April 6, 2025 at 03:00 PM (UTC)Kopparvallen, Åtvidaberg
Full time
What was the result of Atvidabergs FF vs Syrianska Eskilstuna?
Atvidabergs FF won 4-0 on April 6, 2025.
Goalscorers
- 54′T. OstlundAtvidabergs FF
- 86′572089Atvidabergs FF
- 89′572090Atvidabergs FF
- 90′H. RadetinacAtvidabergs FF
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atvidabergs FF have 6 wins, 2 draws and 7 defeats; Syrianska Eskilstuna have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2025 | Enskede(away) | 1-1 | Division 2 - Södra Svealand |
| Oct 20, 2024 | Nyköping(home) | 3-2 | Division 2 - Södra Svealand |
| Oct 13, 2024 | Sylvia(away) | 0-2 | Division 2 - Södra Svealand |
| Oct 6, 2024 | IFK Eskilstuna(home) | 1-4 | Division 2 - Södra Svealand |
| Sep 28, 2024 | Ljungsbro(away) | 3-1 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2025 | Rågsved(home) | 0-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Atvidabergs FF score 1.7 and concede 1.8 goals per match over their last 15; Syrianska Eskilstuna score 0.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atvidabergs FF | 1.7 | 1.8 | 3 | 9/15 | 10/15 |
| Syrianska Eskilstuna | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Atvidabergs FF sit 1st in Division 2 - Södra Svealand (66 points from 26 matches) and Syrianska Eskilstuna sit 14th (14 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Atvidabergs FF | 26 | 21 | 3 | 3 | 70 | 18 | 66 |
| 14 | Syrianska Eskilstuna | 26 | 2 | 8 | 16 | 30 | 68 | 14 |
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