Kastrup vs Jægersborg: result 0-3 and analysis
Denmark Series - Group 1Regular Season - 20Kick-off on May 9, 2015 at 11:00 AM (UTC)Tårnby Stadion, Kastrup
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What was the result of Kastrup vs Jægersborg?
Jægersborg won 0-3 on May 9, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kastrup have 4 wins, 5 draws and 6 defeats; Jægersborg have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2015 | KFUM Roskilde(away) | 2-2 | Denmark Series - Group 1 |
| Apr 25, 2015 | Vanløse(home) | 2-2 | Denmark Series - Group 1 |
| Apr 18, 2015 | Taastrup(away) | 1-2 | Denmark Series - Group 1 |
| Apr 11, 2015 | NB Bornholm(home) | 4-0 | Denmark Series - Group 1 |
| Apr 6, 2015 | AB Tårnby(away) | 0-3 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2015 | Fredensborg BI(home) | 2-1 | Denmark Series - Group 1 |
| Apr 22, 2015 | Fremad Valby(away) | 1-0 | Denmark Series - Group 1 |
| Apr 18, 2015 | KFUM Roskilde(away) | 3-1 | Denmark Series - Group 1 |
| Apr 11, 2015 | Vanløse(home) | 1-0 | Denmark Series - Group 1 |
| Apr 6, 2015 | Taastrup(away) | 3-3 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 1 Kastrup win, 0 draws, 0 Jægersborg wins.
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2014 | Jægersborg 0-3 Kastrup | Denmark Series - Group 1 |
Last archived meeting: Jægersborg vs Kastrup on Sep 27, 2014
How many goals should we expect?
Kastrup score 1.7 and concede 1.9 goals per match over their last 15; Jægersborg score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kastrup | 1.7 | 1.9 | 3 | 8/15 | 13/15 |
| Jægersborg | 1.9 | 1.1 | 6 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Kastrup vs Jægersborg?
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