Vanløse vs Odsherred: result 1-1 and analysis
Denmark Series - Group 2Regular Season - 7Kick-off on October 10, 2017 at 02:30 PM (UTC)Vanløse IP, Vanløse
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What was the result of Vanløse vs Odsherred?
Vanløse and Odsherred drew 1-1 on October 10, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vanløse have 8 wins, 3 draws and 4 defeats; Odsherred have 4, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | KFUM Roskilde(away) | 0-2 | Denmark Series - Group 2 |
| Sep 30, 2017 | AB Tårnby(home) | 5-1 | Denmark Series - Group 2 |
| Sep 23, 2017 | Avedøre(away) | 2-1 | Denmark Series - Group 2 |
| Sep 9, 2017 | Virum-Sorgenfri(away) | 1-1 | Denmark Series - Group 2 |
| Sep 2, 2017 | Skjold Birkerød(home) | 3-0 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2017 | B 1908(home) | 0-1 | Denmark Series - Group 2 |
| Sep 30, 2017 | GVI(away) | 0-0 | Denmark Series - Group 2 |
| Sep 24, 2017 | KFUM Roskilde(home) | 1-0 | Denmark Series - Group 2 |
| Sep 10, 2017 | Avedøre(home) | 4-1 | Denmark Series - Group 2 |
| Sep 2, 2017 | AB Tårnby(away) | 2-1 | Denmark Series - Group 2 |
How many goals should we expect?
Vanløse score 2.2 and concede 1.1 goals per match over their last 15; Odsherred score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vanløse | 2.2 | 1.1 | 5 | 8/15 | 10/15 |
| Odsherred | 1.3 | 1.0 | 3 | 5/9 | 4/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Vanløse | 18 | 14 | 2 | 2 | 44 | 16 | 44 |
A question about Vanløse vs Odsherred?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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