Fyn vs Vendsyssel FF: result 0-3 and analysis
1. DivisionRegular Season - 32Kick-off on May 16, 2013 at 05:00 PM (UTC)TRE-FOR Park
Full time
What was the result of Fyn vs Vendsyssel FF?
Vendsyssel FF won 0-3 on May 16, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fyn have 0 wins, 0 draws and 15 defeats; Vendsyssel FF have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2013 | Vejle(away) | 0-3 | 1. Division |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2013 | FC Fredericia(home) | 0-1 | 1. Division |
| May 8, 2013 | Skive(away) | 1-3 | 1. Division |
| May 5, 2013 | HB Koge(home) | 4-0 | 1. Division |
| Apr 28, 2013 | Viborg(home) | 1-1 | 1. Division |
| Apr 24, 2013 | AB Copenhagen(home) | 1-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Fyn win, 0 draws, 1 Vendsyssel FF win.
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2012 | Vendsyssel FF 5-0 Fyn | 1. Division |
| Sep 16, 2012 | Fyn 2-1 Vendsyssel FF | 1. Division |
How many goals should we expect?
Fyn score 0.1 and concede 3.0 goals per match over their last 15; Vendsyssel FF score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fyn | 0.1 | 3.0 | 0 | 1/15 | 14/15 |
| Vendsyssel FF | 1.4 | 0.9 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Vendsyssel FF | 10 | 2 | 4 | 4 | 10 | 16 | 10 |
A question about Fyn vs Vendsyssel FF?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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