AB Copenhagen vs Skive: result 3-2 and analysis
1. DivisionRegular Season - 9Kick-off on October 9, 2011 at 01:00 PM (UTC)Gladsaxe Stadion, Søborg
Full time
What was the result of AB Copenhagen vs Skive?
AB Copenhagen won 3-2 on October 9, 2011.
Goalscorers
- 6′O. LundAB Copenhagen
- 9′Martin ThomsenSkive
- 37′M. Dal HendeAB Copenhagen
- 70′Thomas DalgaardSkive
- 82′Thomas AsmussenAB Copenhagen
What is the recent form of both teams?
Over their last 8 matches in all competitions, AB Copenhagen have 3 wins, 3 draws and 2 defeats; Skive have 1, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2011 | Roskilde(away) | 1-0 | 1. Division |
| Sep 23, 2011 | Naestved(home) | 3-0 | 1. Division |
| Sep 18, 2011 | Vendsyssel FF(home) | 1-3 | 1. Division |
| Sep 11, 2011 | Vestsjælland(away) | 1-1 | 1. Division |
| Sep 4, 2011 | Esbjerg(home) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2011 | Vendsyssel FF(home) | 1-3 | 1. Division |
| Sep 25, 2011 | Vestsjælland(away) | 0-0 | 1. Division |
| Sep 18, 2011 | Esbjerg(home) | 0-4 | 1. Division |
| Sep 11, 2011 | FC Fredericia(away) | 1-0 | 1. Division |
| Sep 4, 2011 | Viborg(home) | 0-0 | 1. Division |
How many goals should we expect?
AB Copenhagen score 1.3 and concede 1.1 goals per match over their last 8; Skive score 0.6 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB Copenhagen | 1.3 | 1.1 | 3 | 4/8 | 3/8 |
| Skive | 0.6 | 2.0 | 3 | 4/8 | 4/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | AB Copenhagen | 10 | 3 | 3 | 4 | 13 | 10 | 12 |
A question about AB Copenhagen vs Skive?
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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