SC Egedal vs Jægersborg: result 0-3 and analysis
Denmark Series - Group 1Regular Season - 24Kick-off on June 6, 2015 at 01:00 PM (UTC)Ølstykke Stadion, Ølstykke
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What was the result of SC Egedal vs Jægersborg?
Jægersborg won 0-3 on June 6, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SC Egedal have 5 wins, 4 draws and 6 defeats; Jægersborg have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2015 | KFUM Roskilde(away) | 1-5 | Denmark Series - Group 1 |
| May 23, 2015 | Vanløse(home) | 2-4 | Denmark Series - Group 1 |
| May 16, 2015 | Taastrup(away) | 1-4 | Denmark Series - Group 1 |
| May 9, 2015 | NB Bornholm(home) | 2-0 | Denmark Series - Group 1 |
| Apr 30, 2015 | AB Tårnby(away) | 0-2 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2015 | Greve(home) | 1-0 | Denmark Series - Group 1 |
| May 23, 2015 | B 1903(away) | 2-0 | Denmark Series - Group 1 |
| May 16, 2015 | BSF(home) | 1-0 | Denmark Series - Group 1 |
| May 9, 2015 | Kastrup(away) | 3-0 | Denmark Series - Group 1 |
| May 2, 2015 | Fredensborg BI(home) | 2-1 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 0 SC Egedal wins, 1 draw, 0 Jægersborg wins.
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2014 | Jægersborg 0-0 SC Egedal | Denmark Series - Group 1 |
Last archived meeting: Jægersborg vs SC Egedal on Oct 25, 2014
How many goals should we expect?
SC Egedal score 1.5 and concede 1.9 goals per match over their last 15; Jægersborg score 2.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SC Egedal | 1.5 | 1.9 | 4 | 10/15 | 8/15 |
| Jægersborg | 2.0 | 0.8 | 8 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about SC Egedal 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