Stenløse vs Karlslunde: result 1-0 and analysis
Denmark Series - Group 1Regular Season - 1Kick-off on August 5, 2017 at 11:00 AM (UTC)Stenløse Stadion, Stenløse
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What was the result of Stenløse vs Karlslunde?
Stenløse won 1-0 on August 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stenløse have 7 wins, 2 draws and 6 defeats; Karlslunde have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2017 | Virum-Sorgenfri(away) | 3-0 | Denmark Series - Group 1 |
| Jun 10, 2017 | KFUM Roskilde(home) | 2-0 | Denmark Series - Group 1 |
| Jun 3, 2017 | Kastrup(away) | 5-1 | Denmark Series - Group 1 |
| May 27, 2017 | Herlev(home) | 0-2 | Denmark Series - Group 1 |
| May 20, 2017 | Vanløse(away) | 0-0 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2017 | Fremad Valby(away) | 3-0 | Denmark Series - Group 2 |
| Jun 10, 2017 | Avedøre(home) | 3-0 | Denmark Series - Group 2 |
| Jun 3, 2017 | AB Tårnby(away) | 1-0 | Denmark Series - Group 2 |
| May 27, 2017 | GVI(home) | 1-4 | Denmark Series - Group 2 |
| May 20, 2017 | B 1908(home) | 1-0 | Denmark Series - Group 2 |
How many goals should we expect?
Stenløse score 1.7 and concede 1.2 goals per match over their last 15; Karlslunde score 0.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stenløse | 1.7 | 1.2 | 5 | 7/15 | 10/15 |
| Karlslunde | 0.9 | 2.0 | 6 | 3/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Karlslunde | 18 | 4 | 1 | 13 | 23 | 44 | 13 |
A question about Stenløse vs Karlslunde?
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