Södertälje vs Assyriska FF: result 1-5 and analysis
Division 2 - Södra SvealandRegular Season - 22Kick-off on September 15, 2019 at 01:00 PM (UTC)Östertälje IP B, Södertälje
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What was the result of Södertälje vs Assyriska FF?
Assyriska FF won 1-5 on September 15, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Södertälje have 1 wins, 4 draws and 10 defeats; Assyriska FF have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | Newroz(home) | 1-4 | Division 2 - Södra Svealand |
| Sep 1, 2019 | Värmbols(away) | 2-4 | Division 2 - Södra Svealand |
| Aug 25, 2019 | Tyresö(home) | 0-0 | Division 2 - Södra Svealand |
| Aug 14, 2019 | Huddinge(away) | 2-7 | Division 2 - Södra Svealand |
| Aug 11, 2019 | Arameiska / Syrianska(home) | 2-4 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | Haninge(home) | 1-1 | Division 2 - Södra Svealand |
| Aug 31, 2019 | Motala(away) | 0-1 | Division 2 - Södra Svealand |
| Aug 25, 2019 | Newroz(home) | 3-1 | Division 2 - Södra Svealand |
| Aug 18, 2019 | Värmbols(away) | 3-1 | Division 2 - Södra Svealand |
| Aug 11, 2019 | Tyresö(home) | 1-1 | Division 2 - Södra Svealand |
What does the head-to-head say?
Across the last 1 meetings: 0 Södertälje win(s), 0 draw(s), 1 Assyriska FF win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2019 | Assyriska FF 4-1 Södertälje | Division 2 - Södra Svealand |
Last archived meeting: Assyriska FF vs Södertälje on Jun 2, 2019
How many goals should we expect?
Södertälje score 1.5 and concede 3.3 goals per match over their last 15; Assyriska FF score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Södertälje | 1.5 | 3.3 | 2 | 10/15 | 12/15 |
| Assyriska FF | 1.9 | 1.3 | 1 | 12/15 | 9/15 |
Over the last 15 matches in all competitions.
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