Rishøj vs Kalundborg: result 2-3 and analysis
Denmark Series - Group 2Regular Season - 4Kick-off on August 29, 2015 at 01:00 PM (UTC)Rishøj Stadion, Køge
Full time
What was the result of Rishøj vs Kalundborg?
Kalundborg won 2-3 on August 29, 2015.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Rishøj have 2 wins, 0 draws and 5 defeats; Kalundborg have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2015 | Marstal / Rise(away) | 0-2 | Denmark Series - Group 2 |
| Aug 15, 2015 | Kolding B(home) | 0-4 | Denmark Series - Group 2 |
| Aug 11, 2015 | LUIF(away) | 2-0 | DBU Pokalen |
| Aug 7, 2015 | KFUM Roskilde(away) | 1-2 | Denmark Series - Group 2 |
| Aug 12, 2014 | LSF(away) | 1-4 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2015 | Sydvest(home) | 3-1 | Denmark Series - Group 2 |
| Aug 15, 2015 | Varde IF Elite(away) | 1-2 | Denmark Series - Group 2 |
| Aug 11, 2015 | KFUM Roskilde(home) | 3-5 | DBU Pokalen |
| Aug 7, 2015 | Greve(home) | 0-3 | Denmark Series - Group 2 |
| Jun 20, 2015 | Sønderborg(away) | 3-0 | Denmark Series - Group 2 |
How many goals should we expect?
Rishøj score 1.0 and concede 2.1 goals per match over their last 7; Kalundborg score 2.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rishøj | 1.0 | 2.1 | 2 | 3/7 | 4/7 |
| Kalundborg | 2.3 | 1.5 | 6 | 8/15 | 11/15 |
Over the last 7 matches in all competitions.
A question about Rishøj vs Kalundborg?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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