Kolding FC vs Viby: result 3-6 and analysis
Denmark Series - Group 3Matchday 21Kick-off on May 19, 2013 at 09:00 AM (UTC)Mosevej Sportsplads, Kolding
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What was the result of Kolding FC vs Viby?
Viby won 3-6 on May 19, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolding FC have 8 wins, 1 draw and 6 defeats; Viby have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2013 | Odder(away) | 5-1 | Denmark Series - Group 3 |
| May 5, 2013 | Løgstør(home) | 3-2 | Denmark Series - Group 3 |
| Apr 27, 2013 | Randers Freja(away) | 3-8 | Denmark Series - Group 3 |
| Apr 20, 2013 | Djursland(away) | 0-1 | Denmark Series - Group 3 |
| Apr 14, 2013 | Lyseng(home) | 1-0 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2013 | Djursland(home) | 2-2 | Denmark Series - Group 3 |
| May 8, 2013 | AaB II(home) | 0-1 | Denmark Series - Group 3 |
| May 4, 2013 | Lyseng(away) | 1-2 | Denmark Series - Group 3 |
| Apr 27, 2013 | Hobro II(home) | 3-0 | Denmark Series - Group 3 |
| Apr 21, 2013 | Holstebro(away) | 3-1 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Kolding FC wins, 0 draws, 1 Viby win.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2012 | Viby 6-1 Kolding FC | Denmark Series - Group 3 |
How many goals should we expect?
Kolding FC score 2.1 and concede 2.1 goals per match over their last 15; Viby score 2.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolding FC | 2.1 | 2.1 | 3 | 11/15 | 11/15 |
| Viby | 2.1 | 1.9 | 2 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Kolding FC vs Viby?
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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