Marienlyst vs SfB-Oure: result 0-1 and analysis
Denmark Series - Group 3Group 3 - 2Kick-off on August 9, 2019 at 04:30 PM (UTC)Marienlystcentret, Odense
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What was the result of Marienlyst vs SfB-Oure?
SfB-Oure won 0-1 on August 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marienlyst have 3 wins, 2 draws and 10 defeats; SfB-Oure have 14, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2019 | Hedensted(home) | 3-1 | DBU Pokalen |
| Aug 2, 2019 | Hedensted(away) | 0-0 | Denmark Series - Group 3 |
| Apr 13, 2019 | Hillerød(away) | 1-0 | 2nd Division - Group 2 |
| Apr 6, 2019 | HIK(home) | 1-5 | 2nd Division - Group 2 |
| Mar 30, 2019 | B 93(away) | 0-6 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2019 | Middelfart(home) | 0-1 | DBU Pokalen |
| Aug 3, 2019 | Varde IF Elite(home) | 4-0 | Denmark Series - Group 3 |
| Jun 15, 2019 | Silkeborg KFUM(home) | 3-0 | Denmark Series - Group 3 |
| Jun 7, 2019 | B 1913(away) | 6-1 | Denmark Series - Group 3 |
| Jun 1, 2019 | Kolding B(home) | 3-0 | Denmark Series - Group 3 |
How many goals should we expect?
Marienlyst score 0.8 and concede 2.2 goals per match over their last 15; SfB-Oure score 2.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marienlyst | 0.8 | 2.2 | 3 | 8/15 | 10/15 |
| SfB-Oure | 2.9 | 0.7 | 8 | 6/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Marienlyst sit 1st in Denmark Series - Group 3 (50 points from 19 matches) and SfB-Oure sit 3rd (36 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Marienlyst | 19 | 16 | 2 | 1 | 47 | 16 | 50 |
| 3 | SfB-Oure | 17 | 11 | 3 | 3 | 35 | 18 | 36 |
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