Kalundborg vs Dalum: result 2-3 and analysis
Denmark Series - Group 2Regular Season - 18Kick-off on April 26, 2015 at 11:00 AM (UTC)Munkesø Stadion, Kalundborg
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What was the result of Kalundborg vs Dalum?
Dalum won 2-3 on April 26, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalundborg have 8 wins, 2 draws and 5 defeats; Dalum have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2015 | Ringsted(away) | 2-0 | Denmark Series - Group 2 |
| Apr 12, 2015 | Næsby II(home) | 4-2 | Denmark Series - Group 2 |
| Apr 4, 2015 | Næstved II(away) | 2-0 | Denmark Series - Group 2 |
| Mar 29, 2015 | Slagelse B&I(home) | 5-2 | Denmark Series - Group 2 |
| Nov 9, 2014 | Sønderborg(home) | 4-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2015 | Døllefjelde-Musse(home) | 2-0 | Denmark Series - Group 2 |
| Apr 11, 2015 | LSF(away) | 3-1 | Denmark Series - Group 2 |
| Apr 6, 2015 | Otterup(home) | 1-1 | Denmark Series - Group 2 |
| Mar 28, 2015 | FA 2000(away) | 1-1 | Denmark Series - Group 2 |
| Nov 15, 2014 | Næsby II(away) | 4-0 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Kalundborg wins, 0 draws, 1 Dalum win.
| Date | Score | Competition |
|---|---|---|
| Sep 13, 2014 | Dalum 4-2 Kalundborg | Denmark Series - Group 2 |
How many goals should we expect?
Kalundborg score 2.5 and concede 2.5 goals per match over their last 15; Dalum score 2.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalundborg | 2.5 | 2.5 | 3 | 10/15 | 11/15 |
| Dalum | 2.1 | 0.7 | 7 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Kalundborg vs Dalum?
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