Marienlyst vs B 93: result 3-1 and analysis
2nd Division - Group 2Regular Season - 10Kick-off on October 10, 2015 at 01:00 PM (UTC)Marienlystcentret, Odense
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What was the result of Marienlyst vs B 93?
Marienlyst won 3-1 on October 10, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marienlyst have 5 wins, 5 draws and 5 defeats; B 93 have 7, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2015 | Dalum(away) | 2-1 | 2nd Division - Group 2 |
| Sep 26, 2015 | Frem(home) | 2-0 | 2nd Division - Group 2 |
| Sep 19, 2015 | Frem(away) | 1-1 | 2nd Division - Group 2 |
| Sep 12, 2015 | Næsby(home) | 3-1 | 2nd Division - Group 2 |
| Sep 6, 2015 | Fremad Amager(away) | 2-2 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2015 | Nykobing FC(home) | 0-1 | 2nd Division - Group 2 |
| Sep 26, 2015 | Svendborg(away) | 3-0 | 2nd Division - Group 2 |
| Sep 19, 2015 | Svendborg(home) | 3-1 | 2nd Division - Group 2 |
| Sep 12, 2015 | Dalum(home) | 0-2 | 2nd Division - Group 2 |
| Sep 8, 2015 | Næsby(home) | 0-1 | 2nd Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Marienlyst win(s), 0 draw(s), 1 B 93 win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2015 | B 93 5-1 Marienlyst | 2nd Division - Group 2 |
How many goals should we expect?
Marienlyst score 2.0 and concede 1.9 goals per match over their last 15; B 93 score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marienlyst | 2.0 | 1.9 | 1 | 14/15 | 11/15 |
| B 93 | 1.5 | 1.1 | 4 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | B 93 | 17 | 4 | 8 | 5 | 17 | 24 | 20 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy