Värmdö vs Södertälje: result 1-1 and analysis
Division 2 - Södra SvealandRegular Season - 22Kick-off on September 16, 2017 at 02:00 PM (UTC)Värmdövallen, Värmdö
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What was the result of Värmdö vs Södertälje?
Värmdö and Södertälje drew 1-1 on September 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Värmdö have 5 wins, 3 draws and 7 defeats; Södertälje have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Sylvia(home) | 3-3 | Division 2 - Södra Svealand |
| Sep 2, 2017 | Motala(away) | 1-1 | Division 2 - Södra Svealand |
| Aug 26, 2017 | Kumla(home) | 0-2 | Division 2 - Södra Svealand |
| Aug 19, 2017 | Assyriska IF(away) | 1-2 | Division 2 - Södra Svealand |
| Aug 12, 2017 | Haninge(home) | 1-4 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Värmbols(away) | 0-3 | Division 2 - Södra Svealand |
| Sep 3, 2017 | Sleipner(home) | 1-7 | Division 2 - Södra Svealand |
| Aug 26, 2017 | Sylvia(away) | 1-4 | Division 2 - Södra Svealand |
| Aug 20, 2017 | Rynninge(home) | 2-5 | Division 2 - Södra Svealand |
| Aug 12, 2017 | Motala(away) | 3-0 | Division 2 - Södra Svealand |
What does the head-to-head say?
In the last meeting: 1 Värmdö win, 0 draws, 0 Södertälje wins.
| Date | Score | Competition |
|---|---|---|
| Jun 28, 2017 | Södertälje 1-4 Värmdö | Division 2 - Södra Svealand |
How many goals should we expect?
Värmdö score 1.7 and concede 1.7 goals per match over their last 15; Södertälje score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Värmdö | 1.7 | 1.7 | 3 | 10/15 | 9/15 |
| Södertälje | 1.3 | 2.3 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Värmdö vs Södertälje?
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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