Kastrup vs Stenløse: result 1-5 and analysis
Denmark Series - Group 1Regular Season - 25Kick-off on June 3, 2017 at 11:00 AM (UTC)Kastrup IA ved Røllikevej, Kastrup
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What was the result of Kastrup vs Stenløse?
Stenløse won 1-5 on June 3, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kastrup have 7 wins, 3 draws and 5 defeats; Stenløse have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2017 | Virum-Sorgenfri(away) | 4-1 | Denmark Series - Group 1 |
| May 20, 2017 | KFUM Roskilde(home) | 0-1 | Denmark Series - Group 1 |
| May 13, 2017 | Taastrup(home) | 2-5 | Denmark Series - Group 1 |
| May 5, 2017 | Herlev(away) | 1-1 | Denmark Series - Group 1 |
| Apr 29, 2017 | Vanløse(home) | 1-2 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2017 | Herlev(home) | 0-2 | Denmark Series - Group 1 |
| May 20, 2017 | Vanløse(away) | 0-0 | Denmark Series - Group 1 |
| May 13, 2017 | Jægersborg(home) | 2-0 | Denmark Series - Group 1 |
| May 6, 2017 | Hillerød(away) | 2-2 | Denmark Series - Group 1 |
| Apr 29, 2017 | Kalundborg(home) | 3-0 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 2 meetings: 2 Kastrup wins, 0 draws, 0 Stenløse wins.
| Date | Score | Competition |
|---|---|---|
| Apr 1, 2017 | Stenløse 0-3 Kastrup | Denmark Series - Group 1 |
| Sep 17, 2016 | Kastrup 3-0 Stenløse | Denmark Series - Group 1 |
How many goals should we expect?
Kastrup score 2.0 and concede 1.3 goals per match over their last 15; Stenløse score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kastrup | 2.0 | 1.3 | 4 | 10/15 | 9/15 |
| Stenløse | 1.5 | 1.7 | 3 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Kastrup vs Stenløse?
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