Greve vs Marienlyst: result 1-0 and analysis
2nd Division - Group 2Regular Season - 4Kick-off on August 28, 2016 at 11:00 AM (UTC)Greve Idræts Center, Greve
Full time
What was the result of Greve vs Marienlyst?
Greve won 1-0 on August 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Greve have 11 wins, 2 draws and 2 defeats; Marienlyst have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2016 | Næsby(away) | 4-1 | 2nd Division - Group 2 |
| Aug 14, 2016 | Middelfart(home) | 1-3 | 2nd Division - Group 2 |
| Aug 6, 2016 | Svendborg(away) | 1-1 | 2nd Division - Group 2 |
| Jun 11, 2016 | Kolding B(home) | 3-1 | Denmark Series - Group 2 |
| Jun 4, 2016 | KFUM Roskilde(away) | 2-2 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2016 | Middelfart(home) | 1-1 | 2nd Division - Group 2 |
| Aug 13, 2016 | Næsby(home) | 2-0 | 2nd Division - Group 2 |
| Aug 9, 2016 | Årslev(away) | 2-0 | DBU Pokalen |
| Aug 5, 2016 | Kolding IF(away) | 2-1 | 2nd Division - Group 2 |
| Nov 7, 2015 | Næsby(away) | 2-1 | 2nd Division - Group 2 |
How many goals should we expect?
Greve score 2.4 and concede 1.1 goals per match over their last 15; Marienlyst score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Greve | 2.4 | 1.1 | 6 | 9/15 | 9/15 |
| Marienlyst | 2.1 | 1.5 | 3 | 12/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Greve vs Marienlyst?
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