Greve vs Marienlyst: result 0-2 and analysis
2nd Division - Group 2Regular Season - 4Kick-off on August 26, 2017 at 12:00 PM (UTC)Greve Idræts Center, Greve
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What was the result of Greve vs Marienlyst?
Marienlyst won 0-2 on August 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Greve have 6 wins, 4 draws and 5 defeats; Marienlyst have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Dalum(away) | 0-6 | 2nd Division - Group 2 |
| Aug 12, 2017 | Kolding IF(away) | 1-2 | 2nd Division - Group 2 |
| Aug 9, 2017 | Rishøj(away) | 6-0 | DBU Pokalen |
| Aug 5, 2017 | Næsby(home) | 2-1 | 2nd Division - Group 2 |
| Nov 5, 2016 | Sydvest(away) | 1-0 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2017 | Kolding IF(home) | 2-0 | 2nd Division - Group 2 |
| Aug 12, 2017 | Næsby(away) | 3-1 | 2nd Division - Group 2 |
| Aug 8, 2017 | Otterup(away) | 2-3 | DBU Pokalen |
| Aug 5, 2017 | Middelfart(home) | 3-1 | 2nd Division - Group 2 |
| Mar 8, 2017 | Brondby(home) | 1-4 | DBU Pokalen |
What does the head-to-head say?
Across the last 2 meetings: 1 Greve win, 1 draw, 0 Marienlyst wins.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2016 | Marienlyst 0-0 Greve | 2nd Division - Group 2 |
| Aug 28, 2016 | Greve 1-0 Marienlyst | 2nd Division - Group 2 |
How many goals should we expect?
Greve score 1.3 and concede 1.2 goals per match over their last 15; Marienlyst score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Greve | 1.3 | 1.2 | 7 | 6/15 | 7/15 |
| Marienlyst | 1.5 | 1.7 | 4 | 9/15 | 9/15 |
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.
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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