Silkeborg KFUM vs Djursland: result 4-1 and analysis
Denmark Series - Group 4Group 4 - 6Kick-off on September 18, 2020 at 05:00 PM (UTC)JYSK park, Silkeborg
Full time
What was the result of Silkeborg KFUM vs Djursland?
Silkeborg KFUM won 4-1 on September 18, 2020.
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 defeats; Djursland have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | VRI(away) | 0-0 | Denmark Series - Group 4 |
| Sep 4, 2020 | Aarhus Fremad II(home) | 2-2 | Denmark Series - Group 4 |
| Aug 29, 2020 | Lyseng(away) | 1-1 | Denmark Series - Group 4 |
| Aug 21, 2020 | Nørresundby(home) | 1-0 | Denmark Series - Group 4 |
| Aug 15, 2020 | Skjold Sæby(away) | 2-0 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | Tjørring(home) | 1-2 | Denmark Series - Group 4 |
| Sep 5, 2020 | VRI(away) | 1-2 | Denmark Series - Group 4 |
| Sep 1, 2020 | Skive(home) | 0-7 | DBU Pokalen |
| Aug 29, 2020 | Kjellerup(home) | 2-2 | Denmark Series - Group 4 |
| Aug 21, 2020 | Aarhus Fremad II(away) | 0-1 | Denmark Series - Group 4 |
What does the head-to-head say?
Across the last 1 meetings: 1 Silkeborg KFUM win(s), 0 draw(s), 0 Djursland win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2019 | Djursland 2-4 Silkeborg KFUM | Denmark Series - Group 4 |
Last archived meeting: Djursland vs Silkeborg KFUM on Sep 28, 2019
How many goals should we expect?
Silkeborg KFUM score 2.2 and concede 1.3 goals per match over their last 15; Djursland score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg KFUM | 2.2 | 1.3 | 5 | 10/15 | 9/15 |
| Djursland | 1.3 | 2.3 | 1 | 10/15 | 11/15 |
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