Marienlyst vs Greve: result 0-0 and analysis
2nd Division - Group 2Regular Season - 12Kick-off on October 22, 2016 at 12:00 PM (UTC)Marienlystcentret, Odense
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What was the result of Marienlyst vs Greve?
Marienlyst and Greve drew 0-0 on October 22, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marienlyst have 7 wins, 3 draws and 5 defeats; Greve have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Sydvest(home) | 0-4 | 2nd Division - Group 2 |
| Oct 8, 2016 | Dalum(away) | 2-2 | 2nd Division - Group 2 |
| Oct 1, 2016 | Kolding IF(home) | 1-2 | 2nd Division - Group 2 |
| Sep 24, 2016 | Middelfart(away) | 1-2 | 2nd Division - Group 2 |
| Sep 17, 2016 | Sydvest(away) | 1-0 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | Kolding IF(home) | 1-3 | 2nd Division - Group 2 |
| Oct 8, 2016 | Middelfart(away) | 1-3 | 2nd Division - Group 2 |
| Oct 2, 2016 | Svendborg(home) | 1-1 | 2nd Division - Group 2 |
| Sep 25, 2016 | Næsby(home) | 0-0 | 2nd Division - Group 2 |
| Sep 17, 2016 | Dalum(away) | 1-0 | 2nd Division - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Marienlyst wins, 0 draws, 1 Greve win.
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2016 | Greve 1-0 Marienlyst | 2nd Division - Group 2 |
How many goals should we expect?
Marienlyst score 1.7 and concede 1.3 goals per match over their last 15; Greve score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marienlyst | 1.7 | 1.3 | 4 | 9/15 | 8/15 |
| Greve | 1.6 | 1.3 | 5 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Marienlyst vs Greve?
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