Marstal / Rise vs Greve: result 4-0 and analysis
Denmark Series - Group 2Regular Season - 8Kick-off on September 30, 2012 at 11:30 AM (UTC)Marstal Stadion, Marstal
Full time
What was the result of Marstal / Rise vs Greve?
Marstal / Rise won 4-0 on September 30, 2012.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Marstal / Rise have 4 wins, 0 draws and 4 defeats; Greve have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2012 | Næstved II(away) | 1-0 | Denmark Series - Group 2 |
| Sep 16, 2012 | Nakskov(home) | 3-1 | Denmark Series - Group 2 |
| Sep 8, 2012 | Frem Sakskøbing(away) | 2-1 | Denmark Series - Group 2 |
| Sep 2, 2012 | OKS(home) | 5-0 | Denmark Series - Group 2 |
| Aug 26, 2012 | GVI(away) | 0-7 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2012 | Døllefjelde-Musse(home) | 2-1 | Denmark Series - Group 2 |
| 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 |
How many goals should we expect?
Marstal / Rise score 1.6 and concede 2.3 goals per match over their last 8; Greve score 2.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marstal / Rise | 1.6 | 2.3 | 2 | 4/8 | 6/8 |
| Greve | 2.8 | 1.3 | 3 | 9/15 | 11/15 |
Over the last 8 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 Marstal / Rise vs Greve?
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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