Enskede vs Rågsved: result 1-2 and analysis
Division 2 - Södra SvealandSödra Svealand - 12Kick-off on June 13, 2025 at 05:00 PM (UTC)Enskede IP 1, Stockholm
Full time
What was the result of Enskede vs Rågsved?
Rågsved won 1-2 on June 13, 2025.
Goalscorers
- 25′A. CardonaEnskede
- 42′M. EsquivelRågsved
- 48′572072Rågsved
What is the recent form of both teams?
Over their last 15 matches in all competitions, Enskede have 10 wins, 2 draws and 3 defeats; Rågsved have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2025 | Sleipner(away) | 1-1 | Division 2 - Södra Svealand |
| May 30, 2025 | Arameiska / Syrianska(home) | 1-0 | Division 2 - Södra Svealand |
| May 23, 2025 | Farsta(away) | 0-4 | Division 2 - Södra Svealand |
| May 18, 2025 | Forward(away) | 0-3 | Division 2 - Södra Svealand |
| May 9, 2025 | Smedby(home) | 3-0 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2025 | Atvidabergs FF(home) | 0-2 | Division 2 - Södra Svealand |
| Jun 1, 2025 | Sylvia(away) | 1-2 | Division 2 - Södra Svealand |
| 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 |
How many goals should we expect?
Enskede score 2.0 and concede 1.4 goals per match over their last 15; Rågsved score 2.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Enskede | 2.0 | 1.4 | 4 | 8/15 | 11/15 |
| Rågsved | 2.5 | 1.1 | 3 | 11/15 | 9/15 |
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 Enskede 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