Kalundborg vs Stenløse: result 3-4 and analysis
Denmark Series - Group 1Regular Season - 11Kick-off on October 16, 2016 at 11:00 AM (UTC)Munkesø Stadion, Kalundborg
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What was the result of Kalundborg vs Stenløse?
Stenløse won 3-4 on October 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalundborg have 0 wins, 2 draws and 13 defeats; Stenløse have 2, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 16, 2016 | Herlev(away) | 1-3 | Denmark Series - Group 1 |
| Sep 11, 2016 | Vanløse(home) | 0-3 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Taastrup(home) | 0-4 | Denmark Series - Group 1 |
| Oct 1, 2016 | Virum-Sorgenfri(away) | 1-3 | Denmark Series - Group 1 |
| Sep 24, 2016 | KFUM Roskilde(home) | 2-2 | Denmark Series - Group 1 |
| Sep 17, 2016 | Kastrup(away) | 0-3 | Denmark Series - Group 1 |
| Sep 10, 2016 | Herlev(home) | 0-3 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 Kalundborg win(s), 0 draw(s), 1 Stenløse win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2016 | Stenløse 4-1 Kalundborg | Denmark Series - Group 1 |
Last archived meeting: Stenløse vs Kalundborg on Aug 13, 2016
How many goals should we expect?
Kalundborg score 0.8 and concede 3.3 goals per match over their last 15; Stenløse score 1.0 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalundborg | 0.8 | 3.3 | 0 | 10/15 | 13/15 |
| Stenløse | 1.0 | 2.5 | 1 | 5/10 | 8/10 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy