Vejle vs Fyn: result 3-0 and analysis
1. DivisionRegular Season - 31Kick-off on May 12, 2013 at 01:00 PM (UTC)Vejle Stadion, Vejle
Full time
What was the result of Vejle vs Fyn?
Vejle won 3-0 on May 12, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vejle have 9 wins, 2 draws and 4 defeats; Fyn have 0, 0 and 15.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2013 | AB Copenhagen(away) | 1-3 | 1. Division |
| May 5, 2013 | Viborg(away) | 1-2 | 1. Division |
| May 2, 2013 | Viborg(home) | 1-1 | 1. Division |
| Apr 28, 2013 | FC Fredericia(away) | 1-1 | 1. Division |
| Apr 24, 2013 | Vestsjælland(home) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2013 | HB Koge(home) | 0-3 | 1. Division |
| May 4, 2013 | Hobro(away) | 0-3 | 1. Division |
| Apr 28, 2013 | Brønshøj(home) | 0-3 | 1. Division |
| Apr 24, 2013 | Skive(home) | 0-3 | 1. Division |
| Apr 21, 2013 | Vestsjælland(away) | 0-3 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Vejle win, 1 draw, 0 Fyn wins.
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2012 | Fyn 0-2 Vejle | 1. Division |
| Aug 27, 2012 | Fyn 2-2 Vejle | 1. Division |
How many goals should we expect?
Vejle score 1.5 and concede 0.8 goals per match over their last 15; Fyn score 0.1 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vejle | 1.5 | 0.8 | 6 | 7/15 | 5/15 |
| Fyn | 0.1 | 2.9 | 0 | 1/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Vejle | 10 | 5 | 4 | 1 | 23 | 15 | 19 |
A question about Vejle vs Fyn?
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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