Skjold Sæby vs Silkeborg KFUM: result 1-5 and analysis
Denmark Series - Group 4Group 4 - 13Kick-off on October 26, 2019 at 11:30 AM (UTC)Fælledparken, København
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What was the result of Skjold Sæby vs Silkeborg KFUM?
Silkeborg KFUM won 1-5 on October 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 5 wins, 0 draws and 10 defeats; Silkeborg KFUM have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Djursland(away) | 1-3 | Denmark Series - Group 4 |
| Oct 12, 2019 | Nørresundby(home) | 1-0 | Denmark Series - Group 4 |
| Oct 5, 2019 | Viby(away) | 1-3 | Denmark Series - Group 4 |
| Sep 29, 2019 | Kjellerup(away) | 2-5 | Denmark Series - Group 4 |
| Sep 21, 2019 | Lyseng(home) | 2-3 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2019 | Aarhus Fremad II(home) | 2-2 | Denmark Series - Group 4 |
| Oct 12, 2019 | VRI(away) | 1-0 | Denmark Series - Group 4 |
| Oct 4, 2019 | Holstebro(home) | 1-2 | Denmark Series - Group 4 |
| Sep 28, 2019 | Djursland(away) | 4-2 | Denmark Series - Group 4 |
| Sep 20, 2019 | Nørresundby(home) | 3-2 | Denmark Series - Group 4 |
What does the head-to-head say?
Across the last 1 meetings: 0 Skjold Sæby win(s), 0 draw(s), 1 Silkeborg KFUM win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 23, 2019 | Silkeborg KFUM 3-0 Skjold Sæby | Denmark Series - Group 4 |
Last archived meeting: Silkeborg KFUM vs Skjold Sæby on Aug 23, 2019
How many goals should we expect?
Skjold Sæby score 1.9 and concede 2.6 goals per match over their last 15; Silkeborg KFUM score 2.0 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 1.9 | 2.6 | 3 | 9/15 | 13/15 |
| Silkeborg KFUM | 2.0 | 2.2 | 2 | 11/15 | 13/15 |
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