Vanløse vs Brønshøj: result 1-3 and analysis
2nd Division - Group 2Regular Season - 9Kick-off on September 22, 2018 at 11:00 AM (UTC)Vanløse IP, Vanløse
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What was the result of Vanløse vs Brønshøj?
Brønshøj won 1-3 on September 22, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vanløse have 8 wins, 4 draws and 3 defeats; Brønshøj have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2018 | Avarta(away) | 1-0 | 2nd Division - Group 2 |
| Sep 11, 2018 | Middelfart(home) | 0-3 | 2nd Division - Group 2 |
| Sep 1, 2018 | Skovshoved(away) | 1-1 | 2nd Division - Group 2 |
| Aug 25, 2018 | Marienlyst(home) | 1-0 | 2nd Division - Group 2 |
| Aug 22, 2018 | B 93(away) | 2-0 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | AB Copenhagen(home) | 1-2 | 2nd Division - Group 2 |
| Sep 1, 2018 | Middelfart(away) | 1-3 | 2nd Division - Group 2 |
| Aug 25, 2018 | HIK(home) | 2-1 | 2nd Division - Group 2 |
| Aug 22, 2018 | Frem(away) | 0-2 | 2nd Division - Group 2 |
| Aug 18, 2018 | Hillerød(away) | 1-0 | 2nd Division - Group 2 |
How many goals should we expect?
Vanløse score 1.5 and concede 0.6 goals per match over their last 15; Brønshøj score 1.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vanløse | 1.5 | 0.6 | 8 | 4/15 | 5/15 |
| Brønshøj | 1.5 | 2.2 | 2 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Vanløse sit 8th in 2nd Division - Group 2 (34 points from 26 matches) and Brønshøj sit 13th (23 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Vanløse | 26 | 9 | 7 | 10 | 31 | 29 | 34 |
| 13 | Brønshøj | 26 | 6 | 5 | 15 | 34 | 50 | 23 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy