Odder vs Viby: result 2-1 and analysis
Denmark Series - Group 3Regular Season - 23Kick-off on June 1, 2013 at 12:00 PM (UTC)Spektrum Odder, Odder
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What was the result of Odder vs Viby?
Odder won 2-1 on June 1, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Odder have 7 wins, 4 draws and 4 defeats; Viby have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2013 | Holstebro(home) | 2-1 | Denmark Series - Group 3 |
| May 25, 2013 | Randers Freja(away) | 2-1 | Denmark Series - Group 3 |
| May 18, 2013 | Løgstør(away) | 1-1 | Denmark Series - Group 3 |
| May 11, 2013 | Kolding FC(home) | 1-5 | Denmark Series - Group 3 |
| May 8, 2013 | Silkeborg II(home) | 2-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2013 | Silkeborg II(away) | 3-3 | Denmark Series - Group 3 |
| May 25, 2013 | Løgstør(home) | 2-1 | Denmark Series - Group 3 |
| May 19, 2013 | Kolding FC(away) | 6-3 | Denmark Series - Group 3 |
| May 11, 2013 | Djursland(home) | 2-2 | Denmark Series - Group 3 |
| May 8, 2013 | AaB II(home) | 0-1 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Odder wins, 0 draws, 1 Viby win.
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2012 | Viby 3-1 Odder | Denmark Series - Group 3 |
How many goals should we expect?
Odder score 2.3 and concede 1.7 goals per match over their last 15; Viby score 2.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Odder | 2.3 | 1.7 | 2 | 13/15 | 11/15 |
| Viby | 2.6 | 1.9 | 2 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Odder 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