Hillerød vs Kalundborg: result 4-1 and analysis
Denmark Series - Group 1Regular Season - 13Kick-off on October 29, 2016 at 01:00 PM (UTC)Right to Dream Park, Farum
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What was the result of Hillerød vs Kalundborg?
Hillerød won 4-1 on October 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hillerød have 7 wins, 3 draws and 5 defeats; Kalundborg have 0, 1 and 14.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Stenløse(away) | 2-2 | Denmark Series - Group 1 |
| Oct 16, 2016 | Virum-Sorgenfri(home) | 3-0 | Denmark Series - Group 1 |
| Oct 8, 2016 | KFUM Roskilde(away) | 2-1 | Denmark Series - Group 1 |
| Oct 1, 2016 | Kastrup(away) | 0-1 | Denmark Series - Group 1 |
| Sep 24, 2016 | Herlev(home) | 3-2 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2016 | Taastrup(home) | 0-1 | Denmark Series - Group 1 |
| Oct 16, 2016 | Stenløse(home) | 3-4 | Denmark Series - Group 1 |
| Oct 8, 2016 | Virum-Sorgenfri(away) | 1-5 | Denmark Series - Group 1 |
| Oct 1, 2016 | KFUM Roskilde(away) | 0-6 | Denmark Series - Group 1 |
| Sep 25, 2016 | Kastrup(home) | 1-2 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 1 Hillerød win, 0 draws, 0 Kalundborg wins.
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2016 | Kalundborg 0-2 Hillerød | Denmark Series - Group 1 |
Last archived meeting: Kalundborg vs Hillerød on Aug 28, 2016
How many goals should we expect?
Hillerød score 1.7 and concede 1.4 goals per match over their last 15; Kalundborg score 0.9 and concede 3.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hillerød | 1.7 | 1.4 | 3 | 9/15 | 10/15 |
| Kalundborg | 0.9 | 3.2 | 0 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Hillerød vs Kalundborg?
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