Greve vs Døllefjelde-Musse: result 2-1 and analysis
Denmark Series - Group 2Regular Season - 7Kick-off on September 22, 2012 at 11:00 AM (UTC)Greve Idræts Center, Greve
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What was the result of Greve vs Døllefjelde-Musse?
Greve won 2-1 on September 22, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Greve have 10 wins, 1 draw and 4 defeats; Døllefjelde-Musse have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2012 | Aarup(away) | 0-1 | Denmark Series - Group 2 |
| Sep 8, 2012 | Slagelse B&I(home) | 5-2 | Denmark Series - Group 2 |
| Sep 1, 2012 | Ringsted(away) | 0-1 | Denmark Series - Group 2 |
| Aug 25, 2012 | Hedensted(home) | 1-1 | Denmark Series - Group 2 |
| Aug 18, 2012 | Næstved II(home) | 3-0 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2012 | Næstved II(home) | 1-3 | Denmark Series - Group 2 |
| Sep 8, 2012 | Nakskov(away) | 5-4 | Denmark Series - Group 2 |
| Sep 1, 2012 | Frem Sakskøbing(home) | 3-4 | Denmark Series - Group 2 |
| Aug 25, 2012 | OKS(away) | 9-1 | Denmark Series - Group 2 |
| Aug 18, 2012 | GVI(home) | 1-2 | Denmark Series - Group 2 |
How many goals should we expect?
Greve score 2.8 and concede 1.3 goals per match over their last 15; Døllefjelde-Musse score 3.3 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Greve | 2.8 | 1.3 | 3 | 9/15 | 11/15 |
| Døllefjelde-Musse | 3.3 | 2.4 | 0 | 15/15 | 15/15 |
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 | Greve | 18 | 6 | 4 | 8 | 22 | 38 | 22 |
A question about Greve vs Døllefjelde-Musse?
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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