Odder vs Kolding IF: result 3-1 and analysis
Denmark Series - Group 3Regular Season - 25Kick-off on June 15, 2013 at 01:00 PM (UTC)Spektrum Odder, Odder
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What was the result of Odder vs Kolding IF?
Odder won 3-1 on June 15, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Odder have 8 wins, 4 draws and 3 defeats; Kolding IF have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2013 | AaB II(away) | 2-2 | Denmark Series - Group 3 |
| Jun 8, 2013 | Lindholm(away) | 1-0 | Denmark Series - Group 3 |
| Jun 5, 2013 | AaB II(home) | 2-0 | Denmark Series - Group 3 |
| Jun 1, 2013 | Viby(home) | 2-1 | Denmark Series - Group 3 |
| May 29, 2013 | Holstebro(home) | 2-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2013 | Løgstør(home) | 3-1 | Denmark Series - Group 3 |
| Jun 5, 2013 | Viby(away) | 1-1 | Denmark Series - Group 3 |
| Jun 2, 2013 | Kolding FC(away) | 4-0 | Denmark Series - Group 3 |
| May 25, 2013 | Djursland(home) | 0-2 | Denmark Series - Group 3 |
| May 18, 2013 | Lyseng(away) | 4-0 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Odder wins, 1 draw, 0 Kolding IF wins.
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2012 | Kolding IF 1-1 Odder | Denmark Series - Group 3 |
How many goals should we expect?
Odder score 1.7 and concede 1.2 goals per match over their last 15; Kolding IF score 2.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Odder | 1.7 | 1.2 | 4 | 11/15 | 9/15 |
| Kolding IF | 2.3 | 1.4 | 4 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Odder vs Kolding IF?
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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