Sollentuna vs Värmdö: result 5-1 and analysis
Division 2 - Norra SvealandRegular Season - 13Kick-off on June 21, 2016 at 05:30 PM (UTC)Sollentunavallen, Sollentuna
Full time
What was the result of Sollentuna vs Värmdö?
Sollentuna won 5-1 on June 21, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Sollentuna have 9 wins, 1 draw and 2 defeats; Värmdö have 3, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2016 | Håbo(away) | 3-0 | Division 2 - Norra Svealand |
| Jun 11, 2016 | Kvarnsveden(home) | 2-0 | Division 2 - Norra Svealand |
| Jun 4, 2016 | Gute(away) | 2-1 | Division 2 - Norra Svealand |
| May 29, 2016 | Syrianska IF(home) | 0-1 | Division 2 - Norra Svealand |
| May 21, 2016 | Karlberg(home) | 3-2 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2016 | Karlberg(home) | 0-1 | Division 2 - Norra Svealand |
| Jun 11, 2016 | Franke(away) | 0-1 | Division 2 - Norra Svealand |
| Jun 4, 2016 | Norrtälje(home) | 2-2 | Division 2 - Norra Svealand |
| May 28, 2016 | Gamla Upsala(away) | 2-0 | Division 2 - Norra Svealand |
| May 21, 2016 | Västerås IK(home) | 3-0 | Division 2 - Norra Svealand |
How many goals should we expect?
Sollentuna score 2.1 and concede 0.8 goals per match over their last 12; Värmdö score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sollentuna | 2.1 | 0.8 | 6 | 4/12 | 7/12 |
| Värmdö | 1.2 | 1.3 | 3 | 5/12 | 5/12 |
Over the last 12 matches in all competitions.
A question about Sollentuna vs Värmdö?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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