Skjold Sæby vs Virum-Sorgenfri: result 0-3 and analysis
Denmark Series - Group 1Regular Season - 26Kick-off on June 5, 2013 at 01:00 PM (UTC)Fælledparken, København
Full time
What was the result of Skjold Sæby vs Virum-Sorgenfri?
Virum-Sorgenfri won 0-3 on June 5, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 5 wins, 2 draws and 8 defeats; Virum-Sorgenfri have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2013 | Øresund OKF(away) | 1-3 | Denmark Series - Group 1 |
| May 22, 2013 | BGA(home) | 0-3 | Denmark Series - Group 1 |
| May 18, 2013 | LSF(away) | 1-3 | Denmark Series - Group 1 |
| May 14, 2013 | B 93(home) | 0-4 | Denmark Series - Group 1 |
| May 5, 2013 | Frederikssund(away) | 2-0 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2013 | B 1903(away) | 3-2 | Denmark Series - Group 1 |
| May 25, 2013 | FA 2000(home) | 1-1 | Denmark Series - Group 1 |
| May 17, 2013 | Vanløse(away) | 1-2 | Denmark Series - Group 1 |
| May 11, 2013 | Øresund OKF(home) | 1-0 | Denmark Series - Group 1 |
| May 4, 2013 | BSF(away) | 0-2 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 1 Skjold Sæby win(s), 0 draw(s), 0 Virum-Sorgenfri win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2012 | Virum-Sorgenfri 1-3 Skjold Sæby | Denmark Series - Group 1 |
Last archived meeting: Virum-Sorgenfri vs Skjold Sæby on Nov 3, 2012
How many goals should we expect?
Skjold Sæby score 1.1 and concede 2.0 goals per match over their last 15; Virum-Sorgenfri score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 1.1 | 2.0 | 3 | 9/15 | 10/15 |
| Virum-Sorgenfri | 1.1 | 1.4 | 3 | 9/15 | 5/15 |
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