Farsta vs Atvidabergs FF: result 0-1 and analysis
Division 2 - Södra SvealandSödra Svealand - 7Kick-off on May 10, 2025 at 02:00 PM (UTC)Farsta IP, Stockholm
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What was the result of Farsta vs Atvidabergs FF?
Atvidabergs FF won 0-1 on May 10, 2025.
Goalscorers
- 52′S. SotraAtvidabergs FF
What is the recent form of both teams?
Over their last 15 matches in all competitions, Farsta have 8 wins, 2 draws and 5 defeats; Atvidabergs FF have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2025 | Sleipner(away) | 0-3 | Division 2 - Södra Svealand |
| Apr 26, 2025 | Sylvia(home) | 1-3 | Division 2 - Södra Svealand |
| Apr 17, 2025 | Nyköping(home) | 3-2 | Division 2 - Södra Svealand |
| Apr 10, 2025 | Syrianska Eskilstuna(away) | 3-1 | Division 2 - Södra Svealand |
| Apr 4, 2025 | Rågsved(away) | 1-2 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2025 | Sylvia(home) | 2-1 | Division 2 - Södra Svealand |
| Apr 26, 2025 | Nyköping(away) | 0-1 | Division 2 - Södra Svealand |
| Apr 18, 2025 | Forward(home) | 1-1 | Division 2 - Södra Svealand |
| Apr 13, 2025 | Arameiska / Syrianska(away) | 3-1 | Division 2 - Södra Svealand |
| Apr 6, 2025 | Syrianska Eskilstuna(home) | 4-0 | Division 2 - Södra Svealand |
How many goals should we expect?
Farsta score 1.7 and concede 1.7 goals per match over their last 15; Atvidabergs FF score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Farsta | 1.7 | 1.7 | 3 | 9/15 | 12/15 |
| Atvidabergs FF | 1.9 | 1.5 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Farsta | 25 | 15 | 4 | 6 | 51 | 27 | 49 |
A question about Farsta vs Atvidabergs FF?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy