Skive vs HB Koge: result 0-1 and analysis
1. DivisionRegular Season - 26Kick-off on April 20, 2013 at 01:00 PM (UTC)Hancock Arena, Skive
Full time
What was the result of Skive vs HB Koge?
HB Koge won 0-1 on April 20, 2013.
Goalscorers
- 88′A. KaaghHB Koge
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 3 wins, 4 draws and 8 defeats; HB Koge have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2013 | FC Fredericia(away) | 2-3 | 1. Division |
| Apr 10, 2013 | Vestsjælland(home) | 2-2 | 1. Division |
| Apr 7, 2013 | Vejle(away) | 1-3 | 1. Division |
| Apr 1, 2013 | FC Fredericia(home) | 4-3 | 1. Division |
| Mar 28, 2013 | Lyngby(away) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2013 | Vendsyssel FF(home) | 1-2 | 1. Division |
| Apr 13, 2013 | Brønshøj(away) | 3-0 | 1. Division |
| Apr 7, 2013 | AB Copenhagen(home) | 2-1 | 1. Division |
| Apr 4, 2013 | Lyngby(away) | 1-2 | 1. Division |
| Mar 28, 2013 | Hobro(away) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Skive win, 1 draw, 0 HB Koge wins.
| Date | Score | Competition |
|---|---|---|
| Oct 28, 2012 | HB Koge 2-2 Skive | 1. Division |
| Sep 16, 2012 | Skive 2-1 HB Koge | 1. Division |
How many goals should we expect?
Skive score 1.5 and concede 1.8 goals per match over their last 15; HB Koge score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 1.5 | 1.8 | 2 | 8/15 | 9/15 |
| HB Koge | 1.5 | 1.0 | 5 | 8/15 | 9/15 |
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 Skive 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