Norrtälje vs Värmdö: result 1-2 and analysis
Division 2 - Norra SvealandRegular Season - 22Kick-off on September 19, 2016 at 05:30 PM (UTC)Norrtälje Sportcentrum, Norrtälje
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What was the result of Norrtälje vs Värmdö?
Värmdö won 1-2 on September 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Norrtälje have 5 wins, 6 draws and 4 defeats; Värmdö have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Kvarnsveden(home) | 4-0 | Division 2 - Norra Svealand |
| Sep 4, 2016 | Gute(away) | 1-2 | Division 2 - Norra Svealand |
| Aug 29, 2016 | Sollentuna(home) | 1-1 | Division 2 - Norra Svealand |
| Aug 20, 2016 | Karlberg(away) | 2-3 | Division 2 - Norra Svealand |
| Aug 13, 2016 | Franke(home) | 1-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 20, 2016 | Skiljebo(home) | 3-4 | Division 2 - Norra Svealand |
| Aug 12, 2016 | Syrianska IF(home) | 0-0 | Division 2 - Norra Svealand |
What does the head-to-head say?
In the last meeting: 0 Norrtälje wins, 1 draw, 0 Värmdö wins.
| Date | Score | Competition |
|---|---|---|
| Jun 4, 2016 | Värmdö 2-2 Norrtälje | Division 2 - Norra Svealand |
How many goals should we expect?
Norrtälje score 2.2 and concede 1.9 goals per match over their last 15; Värmdö score 1.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Norrtälje | 2.2 | 1.9 | 2 | 12/15 | 11/15 |
| Värmdö | 1.4 | 1.6 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Norrtälje vs Värmdö?
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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