Kalundborg vs Rishøj: result 2-2 and analysis
Denmark Series - Group 2Regular Season - 17Kick-off on April 17, 2016 at 11:00 AM (UTC)Munkesø Stadion, Kalundborg
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What was the result of Kalundborg vs Rishøj?
Kalundborg and Rishøj drew 2-2 on April 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalundborg have 8 wins, 0 draws and 7 defeats; Rishøj have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Sydvest(away) | 1-3 | Denmark Series - Group 2 |
| Apr 3, 2016 | Varde IF Elite(home) | 1-2 | Denmark Series - Group 2 |
| Mar 28, 2016 | Greve(away) | 0-2 | Denmark Series - Group 2 |
| Oct 31, 2015 | Taastrup(away) | 1-2 | Denmark Series - Group 2 |
| Oct 25, 2015 | Tuse(home) | 3-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Marstal / Rise(home) | 1-0 | Denmark Series - Group 2 |
| Apr 2, 2016 | Kolding B(away) | 1-2 | Denmark Series - Group 2 |
| 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 |
What does the head-to-head say?
In the last meeting: 1 Kalundborg win, 0 draws, 0 Rishøj wins.
| Date | Score | Competition |
|---|---|---|
| Aug 29, 2015 | Rishøj 2-3 Kalundborg | Denmark Series - Group 2 |
How many goals should we expect?
Kalundborg score 2.0 and concede 1.7 goals per match over their last 15; Rishøj score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalundborg | 2.0 | 1.7 | 3 | 11/15 | 13/15 |
| Rishøj | 1.6 | 1.7 | 2 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Kalundborg vs Rishøj?
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