Silkeborg KFUM vs OKS: result 0-1 and analysis
Denmark Series - Group 2Promotion Group 2 - 6Kick-off on June 19, 2021 at 05:00 PM (UTC)JYSK park, Silkeborg
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What was the result of Silkeborg KFUM vs OKS?
OKS won 0-1 on June 19, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silkeborg KFUM have 9 wins, 5 draws and 1 defeat; OKS have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 25, 2021 | Odder(home) | 2-1 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2021 | Lyseng(home) | 1-4 | Denmark Series - Group 2 |
| Jun 5, 2021 | VRI(home) | 2-3 | Denmark Series - Group 2 |
| Jun 2, 2021 | Vejgaard B(away) | 1-3 | Denmark Series - Group 2 |
| May 29, 2021 | Silkeborg KFUM(home) | 0-1 | Denmark Series - Group 2 |
| May 25, 2021 | Lyseng(away) | 1-3 | Denmark Series - Group 2 |
What does the head-to-head say?
In the last meeting: 1 Silkeborg KFUM win, 0 draws, 0 OKS wins.
| Date | Score | Competition |
|---|---|---|
| May 29, 2021 | OKS 0-1 Silkeborg KFUM | Denmark Series - Group 2 |
Last archived meeting: OKS vs Silkeborg KFUM on May 29, 2021
How many goals should we expect?
Silkeborg KFUM score 1.9 and concede 0.8 goals per match over their last 15; OKS score 1.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg KFUM | 1.9 | 0.8 | 5 | 10/15 | 8/15 |
| OKS | 1.9 | 2.0 | 1 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Silkeborg KFUM vs OKS?
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