Virum-Sorgenfri vs GVI: result 2-0 and analysis
Denmark Series - Group 1Matchday 11Kick-off on October 17, 2015 at 11:00 AM (UTC)Virum Stadion, Virum
Full time
What was the result of Virum-Sorgenfri vs GVI?
Virum-Sorgenfri won 2-0 on October 17, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Virum-Sorgenfri have 2 wins, 6 draws and 7 defeats; GVI have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2015 | Vanløse(home) | 1-2 | Denmark Series - Group 1 |
| Oct 3, 2015 | Herlev(away) | 0-2 | Denmark Series - Group 1 |
| Sep 23, 2015 | Allerød(home) | 2-1 | Denmark Series - Group 1 |
| Sep 19, 2015 | Avedøre(away) | 1-2 | Denmark Series - Group 1 |
| Sep 12, 2015 | Fredensborg BI(home) | 1-0 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2015 | Skjold Sæby(home) | 1-1 | Denmark Series - Group 1 |
| Oct 3, 2015 | Vanløse(away) | 3-1 | Denmark Series - Group 1 |
| Sep 26, 2015 | FA 2000(home) | 2-1 | Denmark Series - Group 1 |
| Sep 19, 2015 | Herlev(away) | 0-1 | Denmark Series - Group 1 |
| Sep 12, 2015 | LSF(home) | 2-3 | Denmark Series - Group 1 |
How many goals should we expect?
Virum-Sorgenfri score 1.1 and concede 2.1 goals per match over their last 15; GVI score 2.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Virum-Sorgenfri | 1.1 | 2.1 | 2 | 11/15 | 7/15 |
| GVI | 2.0 | 1.6 | 3 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Virum-Sorgenfri vs GVI?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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