Døllefjelde-Musse vs GVI: result 1-2 and analysis
Denmark Series - Group 2Regular Season - 2Kick-off on August 18, 2012 at 01:00 PM (UTC)DMI´s anlæg, Nysted
Full time
What was the result of Døllefjelde-Musse vs GVI?
GVI won 1-2 on August 18, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Døllefjelde-Musse have 7 wins, 1 draw and 7 defeats; GVI have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2012 | Næsby II(away) | 1-3 | Denmark Series - Group 2 |
| Jun 23, 2012 | Frem Sakskøbing(away) | 1-2 | Denmark Series - Group 2 |
| Jun 16, 2012 | Middelfart(home) | 4-1 | Denmark Series - Group 2 |
| Jun 9, 2012 | Haderslev(away) | 3-5 | Denmark Series - Group 2 |
| Jun 2, 2012 | Kolding IF(home) | 5-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2012 | Aarup(home) | 2-0 | Denmark Series - Group 2 |
| Jun 23, 2012 | Avedøre(away) | 1-1 | Denmark Series - Group 1 |
| Jun 16, 2012 | Allerød(home) | 5-1 | Denmark Series - Group 1 |
| Jun 10, 2012 | NB Bornholm(away) | 1-2 | Denmark Series - Group 1 |
| Jun 2, 2012 | Øresund OKF(home) | 1-0 | Denmark Series - Group 1 |
How many goals should we expect?
Døllefjelde-Musse score 2.5 and concede 2.2 goals per match over their last 15; GVI score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Døllefjelde-Musse | 2.5 | 2.2 | 0 | 14/15 | 15/15 |
| GVI | 1.9 | 1.3 | 4 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | GVI | 18 | 7 | 3 | 8 | 33 | 40 | 24 |
A question about Døllefjelde-Musse 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