AB Copenhagen vs Vanløse: result 0-2 and analysis
2nd Division - Group 2Regular Season - 11Kick-off on October 4, 2018 at 04:30 PM (UTC)Gladsaxe Stadion, Søborg
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What was the result of AB Copenhagen vs Vanløse?
Vanløse won 0-2 on October 4, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AB Copenhagen have 7 wins, 5 draws and 3 defeats; Vanløse have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Middelfart(away) | 0-0 | 2nd Division - Group 2 |
| Sep 23, 2018 | Marienlyst(home) | 2-0 | 2nd Division - Group 2 |
| Sep 15, 2018 | Brønshøj(away) | 2-1 | 2nd Division - Group 2 |
| Sep 9, 2018 | Skovshoved(home) | 6-0 | 2nd Division - Group 2 |
| Sep 6, 2018 | Odense(home) | 0-4 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Slagelse B&I(home) | 3-3 | 2nd Division - Group 2 |
| Sep 22, 2018 | Brønshøj(home) | 1-3 | 2nd Division - Group 2 |
| 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 |
How many goals should we expect?
AB Copenhagen score 2.0 and concede 1.1 goals per match over their last 15; Vanløse score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB Copenhagen | 2.0 | 1.1 | 5 | 7/15 | 7/15 |
| Vanløse | 1.7 | 1.0 | 6 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
AB Copenhagen sit 3rd in 2nd Division - Group 2 (51 points from 26 matches) and Vanløse sit 8th (34 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | AB Copenhagen | 26 | 15 | 6 | 5 | 44 | 31 | 51 |
| 8 | Vanløse | 26 | 9 | 7 | 10 | 31 | 29 | 34 |
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