Värmdö vs Sollentuna: result 0-0 and analysis
Division 2 - Norra SvealandRegular Season - 24Kick-off on October 1, 2016 at 12:00 PM (UTC)Värmdövallen, Värmdö
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What was the result of Värmdö vs Sollentuna?
Värmdö and Sollentuna drew 0-0 on October 1, 2016.
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; Sollentuna have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Gamla Upsala(home) | 1-2 | Division 2 - Norra Svealand |
| Sep 19, 2016 | Norrtälje(away) | 2-1 | Division 2 - Norra Svealand |
| Sep 10, 2016 | Västerås IK(away) | 4-3 | Division 2 - Norra Svealand |
| Sep 3, 2016 | Boo(home) | 1-0 | Division 2 - Norra Svealand |
| Aug 27, 2016 | Sundbyberg(away) | 0-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2016 | Syrianska IF(away) | 4-1 | Division 2 - Norra Svealand |
| Sep 17, 2016 | Gute(home) | 4-1 | Division 2 - Norra Svealand |
| Sep 10, 2016 | Karlberg(away) | 1-1 | Division 2 - Norra Svealand |
| Sep 3, 2016 | Franke(home) | 2-2 | Division 2 - Norra Svealand |
| Aug 29, 2016 | Norrtälje(away) | 1-1 | Division 2 - Norra Svealand |
What does the head-to-head say?
In the last meeting: 0 Värmdö wins, 0 draws, 1 Sollentuna win.
| Date | Score | Competition |
|---|---|---|
| Jun 21, 2016 | Sollentuna 5-1 Värmdö | Division 2 - Norra Svealand |
How many goals should we expect?
Värmdö score 1.3 and concede 1.6 goals per match over their last 15; Sollentuna score 2.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Värmdö | 1.3 | 1.6 | 4 | 8/15 | 8/15 |
| Sollentuna | 2.3 | 0.8 | 4 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Värmdö vs Sollentuna?
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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