Värmdö vs Huddinge: result 2-0 and analysis
Division 2 - Södra SvealandRegular Season - 3Kick-off on April 22, 2017 at 02:00 PM (UTC)Värmdövallen, Värmdö
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What was the result of Värmdö vs Huddinge?
Värmdö won 2-0 on April 22, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Värmdö have 5 wins, 4 draws and 6 defeats; Huddinge have 12, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2017 | Sleipner(away) | 2-2 | Division 2 - Södra Svealand |
| Apr 9, 2017 | Rynninge(home) | 0-2 | Division 2 - Södra Svealand |
| Oct 15, 2016 | Franke(home) | 5-0 | Division 2 - Norra Svealand |
| Oct 8, 2016 | Karlberg(away) | 0-1 | Division 2 - Norra Svealand |
| Oct 1, 2016 | Sollentuna(home) | 0-0 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2017 | Värmbols(home) | 2-0 | Division 2 - Södra Svealand |
| Apr 8, 2017 | Sylvia(away) | 0-1 | Division 2 - Södra Svealand |
| Oct 16, 2016 | Assyriska IF(away) | 5-1 | Division 2 - Södra Svealand |
| Oct 9, 2016 | Vimmerby(home) | 3-1 | Division 2 - Södra Svealand |
| Oct 2, 2016 | Linköping City(home) | 2-1 | Division 2 - Södra Svealand |
How many goals should we expect?
Värmdö score 1.5 and concede 1.3 goals per match over their last 15; Huddinge score 3.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Värmdö | 1.5 | 1.3 | 5 | 7/15 | 8/15 |
| Huddinge | 3.3 | 1.1 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Huddinge | 26 | 9 | 3 | 14 | 48 | 64 | 30 |
A question about Värmdö vs Huddinge?
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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