Marienlyst vs Silkeborg KFUM: result 2-0 and analysis
Denmark Series - Group 2Promotion Group 2 - 7Kick-off on June 23, 2021 at 05:00 PM (UTC)Marienlystcentret, Odense
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What was the result of Marienlyst vs Silkeborg KFUM?
Marienlyst won 2-0 on June 23, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marienlyst have 8 wins, 3 draws and 4 defeats; Silkeborg KFUM have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2021 | Vejgaard B(home) | 1-3 | Denmark Series - Group 2 |
| Jun 12, 2021 | VRI(away) | 3-1 | Denmark Series - Group 2 |
| Jun 5, 2021 | Lyseng(home) | 3-2 | Denmark Series - Group 2 |
| Jun 2, 2021 | Silkeborg KFUM(away) | 2-3 | Denmark Series - Group 2 |
| May 29, 2021 | Vejgaard B(away) | 2-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2021 | OKS(home) | 0-1 | Denmark Series - Group 2 |
| Jun 12, 2021 | Odder(away) | 3-1 | Denmark Series - Group 2 |
| Jun 5, 2021 | Hedensted(away) | 3-1 | Denmark Series - Group 2 |
| Jun 2, 2021 | Marienlyst(home) | 3-2 | Denmark Series - Group 2 |
| May 29, 2021 | OKS(away) | 1-0 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Marienlyst win(s), 0 draw(s), 1 Silkeborg KFUM win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2021 | Silkeborg KFUM 3-2 Marienlyst | Denmark Series - Group 2 |
Last archived meeting: Silkeborg KFUM vs Marienlyst on Jun 2, 2021
How many goals should we expect?
Marienlyst score 2.3 and concede 1.7 goals per match over their last 15; Silkeborg KFUM score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marienlyst | 2.3 | 1.7 | 2 | 12/15 | 12/15 |
| Silkeborg KFUM | 1.7 | 0.9 | 4 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
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