Mjölby vs Sylvia: result 2-3 and analysis
Division 2 - Södra SvealandSödra Svealand - 9Kick-off on May 24, 2024 at 05:00 PM (UTC)Vifolkavallen, Mjölby
Full time
What was the result of Mjölby vs Sylvia?
Sylvia won 2-3 on May 24, 2024.
Goalscorers
- 5′?Sylvia
- 10′?Mjölby
- 17′?Mjölby
- 53′?Sylvia (pen.)
- 69′?Sylvia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mjölby have 3 wins, 1 draw and 11 defeats; Sylvia have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2024 | Arameiska / Syrianska(away) | 0-3 | Division 2 - Södra Svealand |
| May 12, 2024 | IFK Eskilstuna(home) | 3-4 | Division 2 - Södra Svealand |
| May 3, 2024 | Smedby(away) | 0-3 | Division 2 - Södra Svealand |
| Apr 27, 2024 | Ljungsbro(home) | 2-0 | Division 2 - Södra Svealand |
| Apr 21, 2024 | Enskede(away) | 2-0 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2024 | IFK Eskilstuna(home) | 6-0 | Division 2 - Södra Svealand |
| May 11, 2024 | Ljungsbro(away) | 0-3 | Division 2 - Södra Svealand |
| May 4, 2024 | Nacka Iliria(home) | 2-2 | Division 2 - Södra Svealand |
| Apr 27, 2024 | Syrianska FC(away) | 0-0 | Division 2 - Södra Svealand |
| Apr 21, 2024 | Sleipner(home) | 4-0 | Division 2 - Södra Svealand |
How many goals should we expect?
Mjölby score 0.9 and concede 1.9 goals per match over their last 15; Sylvia score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mjölby | 0.9 | 1.9 | 3 | 6/15 | 8/15 |
| Sylvia | 1.2 | 1.5 | 5 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sylvia | 26 | 15 | 2 | 9 | 51 | 34 | 47 |
A question about Mjölby vs Sylvia?
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