Syrianska FC vs IFK Eskilstuna: result 3-1 and analysis
Division 2 - Södra SvealandSödra Svealand - 24Kick-off on September 11, 2021 at 12:00 PM (UTC)Södertälje Fotbollsarena, Södertälje
Full time
What was the result of Syrianska FC vs IFK Eskilstuna?
Syrianska FC won 3-1 on September 11, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Syrianska FC have 8 wins, 4 draws and 3 defeats; IFK Eskilstuna have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2021 | Smedby(away) | 5-1 | Division 2 - Södra Svealand |
| Aug 28, 2021 | Värmbols(home) | 3-1 | Division 2 - Södra Svealand |
| Aug 21, 2021 | Trosa-Vagnhärad SK(away) | 2-0 | Division 2 - Södra Svealand |
| Aug 14, 2021 | Mjölby(home) | 3-2 | Division 2 - Södra Svealand |
| Aug 7, 2021 | Huddinge(away) | 1-2 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2021 | Huddinge(home) | 1-0 | Division 2 - Södra Svealand |
| Sep 4, 2021 | Eskilstuna City(home) | 4-1 | Division 2 - Södra Svealand |
| Aug 28, 2021 | Rynninge(away) | 1-6 | Division 2 - Södra Svealand |
| Aug 25, 2021 | Huddinge(away) | 1-4 | Division 2 - Södra Svealand |
| Aug 22, 2021 | Arameiska / Syrianska(home) | 1-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Syrianska FC score 2.3 and concede 1.5 goals per match over their last 15; IFK Eskilstuna score 1.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Syrianska FC | 2.3 | 1.5 | 3 | 11/15 | 13/15 |
| IFK Eskilstuna | 1.9 | 2.0 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Syrianska FC | 12 | 3 | 2 | 7 | 18 | 30 | 11 |
| 13 | Syrianska FC | 18 | 4 | 4 | 10 | 27 | 45 | 16 |
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