Taastrup vs Stenløse: result 2-1 and analysis
Denmark Series - Group 1Regular Season - 19Kick-off on April 22, 2017 at 12:00 PM (UTC)Tåstrup Idrætspark, Tåstrup
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What was the result of Taastrup vs Stenløse?
Taastrup won 2-1 on April 22, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Taastrup have 4 wins, 5 draws and 6 defeats; Stenløse have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2017 | Vanløse(home) | 1-3 | Denmark Series - Group 1 |
| Apr 8, 2017 | Virum-Sorgenfri(away) | 0-1 | Denmark Series - Group 1 |
| Apr 1, 2017 | Jægersborg(away) | 1-1 | Denmark Series - Group 1 |
| Mar 25, 2017 | KFUM Roskilde(home) | 3-0 | Denmark Series - Group 1 |
| Nov 5, 2016 | Hillerød(away) | 0-3 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 5, 2016 | Vanløse(home) | 1-3 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 2 meetings: 2 Taastrup wins, 0 draws, 0 Stenløse wins.
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2016 | Stenløse 0-4 Taastrup | Denmark Series - Group 1 |
| Aug 6, 2016 | Taastrup 3-0 Stenløse | Denmark Series - Group 1 |
How many goals should we expect?
Taastrup score 1.3 and concede 1.5 goals per match over their last 15; Stenløse score 1.3 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Taastrup | 1.3 | 1.5 | 3 | 8/15 | 8/15 |
| Stenløse | 1.3 | 2.4 | 1 | 9/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Taastrup 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