AB Copenhagen vs Fyn: result 3-0 and analysis
1. DivisionRegular Season - 25Kick-off on April 14, 2013 at 01:00 PM (UTC)Gladsaxe Stadion, Søborg
Full time
What was the result of AB Copenhagen vs Fyn?
AB Copenhagen won 3-0 on April 14, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AB Copenhagen have 3 wins, 7 draws and 5 defeats; Fyn have 0, 3 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2013 | HB Koge(away) | 1-2 | 1. Division |
| Apr 4, 2013 | Viborg(home) | 0-1 | 1. Division |
| Apr 1, 2013 | Fyn(away) | 3-0 | 1. Division |
| Mar 23, 2013 | Skive(away) | 0-0 | 1. Division |
| Nov 25, 2012 | FC Fredericia(home) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2013 | Lyngby(home) | 0-3 | 1. Division |
| Apr 4, 2013 | FC Fredericia(away) | 0-3 | 1. Division |
| Apr 1, 2013 | AB Copenhagen(home) | 0-3 | 1. Division |
| Mar 28, 2013 | Brønshøj(away) | 0-3 | 1. Division |
| Mar 24, 2013 | Hobro(home) | 0-3 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 AB Copenhagen win, 0 draws, 1 Fyn win.
| Date | Score | Competition |
|---|---|---|
| Apr 1, 2013 | Fyn 0-3 AB Copenhagen | 1. Division |
| Sep 9, 2012 | AB Copenhagen 1-2 Fyn | 1. Division |
How many goals should we expect?
AB Copenhagen score 0.7 and concede 0.8 goals per match over their last 15; Fyn score 0.7 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB Copenhagen | 0.7 | 0.8 | 5 | 6/15 | 3/15 |
| Fyn | 0.7 | 2.8 | 1 | 5/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | AB Copenhagen | 13 | 5 | 3 | 5 | 18 | 15 | 18 |
A question about AB Copenhagen vs Fyn?
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