AB Copenhagen vs Naestved: result 3-0 and analysis
1. DivisionRegular Season - 7Kick-off on September 23, 2011 at 05:00 PM (UTC)Gladsaxe Stadion, Søborg
Full time
What was the result of AB Copenhagen vs Naestved?
AB Copenhagen won 3-0 on September 23, 2011.
Goalscorers
- 5′Casper HenningsenAB Copenhagen
- 40′O. LundAB Copenhagen
- 53′O. LundAB Copenhagen
What is the recent form of both teams?
Over their last 6 matches in all competitions, AB Copenhagen have 1 win, 3 draws and 2 defeats; Naestved have 1, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 28, 2011 | FC Fredericia(away) | 1-1 | 1. Division |
| Aug 19, 2011 | Viborg(home) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2011 | Hobro(home) | 2-2 | 1. Division |
| Sep 11, 2011 | Vendsyssel FF(away) | 1-3 | 1. Division |
| Sep 4, 2011 | Brønshøj(home) | 0-2 | 1. Division |
| Aug 28, 2011 | Vestsjælland(away) | 1-5 | 1. Division |
| Aug 21, 2011 | Randers FC(home) | 1-0 | 1. Division |
How many goals should we expect?
AB Copenhagen score 1.0 and concede 1.5 goals per match over their last 6; Naestved score 1.5 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB Copenhagen | 1.0 | 1.5 | 1 | 4/6 | 2/6 |
| Naestved | 1.5 | 2.8 | 1 | 4/6 | 4/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | AB Copenhagen | 12 | 5 | 3 | 4 | 17 | 12 | 18 |
A question about AB Copenhagen vs Naestved?
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