Sylvia vs Rågsved: result 2-1 and analysis
Division 2 - Södra SvealandSödra Svealand - 10Kick-off on June 1, 2025 at 03:00 PM (UTC)PlatinumCars Arena, Norrköping
Full time
What was the result of Sylvia vs Rågsved?
Sylvia won 2-1 on June 1, 2025.
Goalscorers
- 71′L. JonssonSylvia
- 84′D. BurubwaSylvia
- 90′572070Rågsved
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sylvia have 7 wins, 2 draws and 6 defeats; Rågsved have 12, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2025 | Smedby(away) | 4-1 | Division 2 - Södra Svealand |
| May 18, 2025 | Syrianska FC(home) | 1-1 | Division 2 - Södra Svealand |
| May 14, 2025 | Arameiska / Syrianska(home) | 2-0 | Svenska Cupen |
| May 11, 2025 | Nyköping(home) | 2-0 | Division 2 - Södra Svealand |
| May 2, 2025 | Atvidabergs FF(away) | 1-2 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2025 | Syrianska FC(away) | 1-1 | Division 2 - Södra Svealand |
| May 17, 2025 | Smedby(home) | 4-1 | Division 2 - Södra Svealand |
| May 9, 2025 | Arameiska / Syrianska(home) | 4-1 | Division 2 - Södra Svealand |
| May 3, 2025 | Forward(away) | 2-0 | Division 2 - Södra Svealand |
| Apr 27, 2025 | Eker Örebro(away) | 3-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Sylvia score 1.5 and concede 1.1 goals per match over their last 15; Rågsved score 2.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sylvia | 1.5 | 1.1 | 5 | 8/15 | 7/15 |
| Rågsved | 2.8 | 1.0 | 3 | 12/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Rågsved | 25 | 12 | 6 | 7 | 49 | 40 | 42 |
A question about Sylvia vs Rågsved?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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