Kolding B vs Rishøj: result 2-1 and analysis
Denmark Series - Group 2Regular Season - 15Kick-off on April 2, 2016 at 01:00 PM (UTC)Mosevej Sportsplads, Kolding
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What was the result of Kolding B vs Rishøj?
Kolding B won 2-1 on April 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolding B have 5 wins, 5 draws and 5 defeats; Rishøj have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2016 | Sydvest(away) | 2-0 | Denmark Series - Group 2 |
| Oct 31, 2015 | Varde IF Elite(away) | 2-1 | Denmark Series - Group 2 |
| Oct 24, 2015 | Greve(home) | 2-2 | Denmark Series - Group 2 |
| Oct 17, 2015 | Taastrup(away) | 3-3 | Denmark Series - Group 2 |
| Oct 10, 2015 | Tuse(home) | 4-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2016 | KFUM Roskilde(home) | 3-1 | Denmark Series - Group 2 |
| Oct 31, 2015 | Tarup-Paarup(away) | 0-5 | Denmark Series - Group 2 |
| Oct 27, 2015 | Aarhus(home) | 0-3 | DBU Pokalen |
| Oct 24, 2015 | Sydvest(home) | 2-2 | Denmark Series - Group 2 |
| Oct 17, 2015 | Varde IF Elite(away) | 4-1 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 1 Kolding B win, 0 draws, 0 Rishøj wins.
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2015 | Rishøj 0-4 Kolding B | Denmark Series - Group 2 |
How many goals should we expect?
Kolding B score 2.0 and concede 1.7 goals per match over their last 15; Rishøj score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolding B | 2.0 | 1.7 | 2 | 11/15 | 11/15 |
| Rishøj | 1.6 | 1.9 | 1 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Kolding B vs Rishøj?
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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