Stenløse vs Kalundborg: result 3-0 and analysis
Denmark Series - Group 1Regular Season - 20Kick-off on April 29, 2017 at 11:00 AM (UTC)Stenløse Stadion, Stenløse
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What was the result of Stenløse vs Kalundborg?
Stenløse won 3-0 on April 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stenløse have 4 wins, 2 draws and 9 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 |
|---|---|---|---|
| Apr 22, 2017 | Taastrup(away) | 1-2 | Denmark Series - Group 1 |
| Apr 15, 2017 | Virum-Sorgenfri(home) | 2-1 | Denmark Series - Group 1 |
| Apr 8, 2017 | KFUM Roskilde(away) | 0-1 | Denmark Series - Group 1 |
| Apr 1, 2017 | Kastrup(home) | 0-3 | Denmark Series - Group 1 |
| Mar 24, 2017 | Herlev(away) | 1-2 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2017 | Virum-Sorgenfri(home) | 1-1 | Denmark Series - Group 1 |
| Apr 13, 2017 | KFUM Roskilde(home) | 0-3 | Denmark Series - Group 1 |
| Apr 8, 2017 | Kastrup(away) | 0-6 | Denmark Series - Group 1 |
| Apr 2, 2017 | Herlev(home) | 0-8 | Denmark Series - Group 1 |
| Mar 25, 2017 | Vanløse(away) | 0-1 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 2 meetings: 2 Stenløse win(s), 0 draw(s), 0 Kalundborg win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 16, 2016 | Kalundborg 3-4 Stenløse | Denmark Series - Group 1 |
| Aug 13, 2016 | Stenløse 4-1 Kalundborg | Denmark Series - Group 1 |
Last archived meeting: Kalundborg vs Stenløse on Oct 16, 2016
How many goals should we expect?
Stenløse score 1.3 and concede 2.2 goals per match over their last 15; Kalundborg score 0.7 and concede 3.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stenløse | 1.3 | 2.2 | 1 | 9/15 | 13/15 |
| Kalundborg | 0.7 | 3.6 | 0 | 7/15 | 12/15 |
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