Fyn vs AB Copenhagen: result 0-3 and analysis
1. DivisionRegular Season - 22Kick-off on April 1, 2013 at 01:00 PM (UTC)TRE-FOR Park
Full time
What was the result of Fyn vs AB Copenhagen?
AB Copenhagen won 0-3 on April 1, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fyn have 2 wins, 3 draws and 10 defeats; AB Copenhagen have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2013 | Brønshøj(away) | 0-3 | 1. Division |
| Mar 24, 2013 | Hobro(home) | 0-3 | 1. Division |
| Nov 25, 2012 | Vendsyssel FF(away) | 0-5 | 1. Division |
| Nov 18, 2012 | Viborg(home) | 1-2 | 1. Division |
| Nov 11, 2012 | HB Koge(away) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2013 | Skive(away) | 0-0 | 1. Division |
| Nov 25, 2012 | FC Fredericia(home) | 1-0 | 1. Division |
| Nov 18, 2012 | Lyngby(away) | 1-1 | 1. Division |
| Nov 11, 2012 | Vejle(away) | 0-1 | 1. Division |
| Nov 4, 2012 | Brønshøj(home) | 1-1 | 1. Division |
What does the head-to-head say?
In the last meeting: 1 Fyn win, 0 draws, 0 AB Copenhagen wins.
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2012 | AB Copenhagen 1-2 Fyn | 1. Division |
How many goals should we expect?
Fyn score 1.1 and concede 2.5 goals per match over their last 15; AB Copenhagen score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fyn | 1.1 | 2.5 | 1 | 8/15 | 11/15 |
| AB Copenhagen | 0.7 | 0.9 | 5 | 7/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | AB Copenhagen | 10 | 3 | 3 | 4 | 13 | 10 | 12 |
A question about Fyn vs AB Copenhagen?
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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