Fyn vs HB Koge: result 0-3 and analysis
1. DivisionRegular Season - 30Kick-off on May 8, 2013 at 05:00 PM (UTC)TRE-FOR Park
Full time
What was the result of Fyn vs HB Koge?
HB Koge won 0-3 on May 8, 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; HB Koge have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 14, 2013 | AB Copenhagen(away) | 0-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2013 | Vendsyssel FF(away) | 0-4 | 1. Division |
| May 1, 2013 | Brønshøj(home) | 2-0 | 1. Division |
| Apr 28, 2013 | Hobro(home) | 1-1 | 1. Division |
| Apr 24, 2013 | FC Fredericia(home) | 1-2 | 1. Division |
| Apr 20, 2013 | Skive(away) | 1-0 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Fyn wins, 1 draw, 1 HB Koge win.
| Date | Score | Competition |
|---|---|---|
| Nov 11, 2012 | HB Koge 2-0 Fyn | 1. Division |
| Aug 5, 2012 | Fyn 2-2 HB Koge | 1. Division |
How many goals should we expect?
Fyn score 0.1 and concede 2.8 goals per match over their last 15; HB Koge score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fyn | 0.1 | 2.8 | 0 | 1/15 | 12/15 |
| HB Koge | 1.3 | 1.1 | 6 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | HB Koge | 10 | 2 | 4 | 4 | 13 | 17 | 10 |
A question about Fyn vs HB Koge?
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