Virum-Sorgenfri vs Skjold Birkerød: result 2-1 and analysis
Denmark Series - Group 2Regular Season - 11Kick-off on October 14, 2017 at 11:00 AM (UTC)Virum Stadion, Virum
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What was the result of Virum-Sorgenfri vs Skjold Birkerød?
Virum-Sorgenfri won 2-1 on October 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Virum-Sorgenfri have 4 wins, 5 draws and 6 defeats; Skjold Birkerød have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2017 | Fremad Valby(away) | 4-2 | Denmark Series - Group 2 |
| Sep 30, 2017 | B 1908(away) | 1-0 | Denmark Series - Group 2 |
| Sep 23, 2017 | GVI(home) | 2-2 | Denmark Series - Group 2 |
| Sep 16, 2017 | KFUM Roskilde(away) | 2-1 | Denmark Series - Group 2 |
| Sep 9, 2017 | Vanløse(home) | 1-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | AB Tårnby(home) | 3-3 | Denmark Series - Group 2 |
| Sep 30, 2017 | Fremad Valby(away) | 0-2 | Denmark Series - Group 2 |
| Sep 23, 2017 | B 1908(home) | 1-0 | Denmark Series - Group 2 |
| Sep 16, 2017 | GVI(away) | 3-3 | Denmark Series - Group 2 |
| Sep 9, 2017 | KFUM Roskilde(home) | 1-0 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Virum-Sorgenfri win(s), 0 draw(s), 1 Skjold Birkerød win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2017 | Skjold Birkerød 1-0 Virum-Sorgenfri | Denmark Series - Group 2 |
Last archived meeting: Skjold Birkerød vs Virum-Sorgenfri on Aug 12, 2017
How many goals should we expect?
Virum-Sorgenfri score 1.3 and concede 1.7 goals per match over their last 15; Skjold Birkerød score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Virum-Sorgenfri | 1.3 | 1.7 | 4 | 9/15 | 9/15 |
| Skjold Birkerød | 1.3 | 1.5 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy