Skjold Sæby vs Silkeborg KFUM: result 0-2 and analysis
Denmark Series - Group 4Group 4 - 1Kick-off on August 15, 2020 at 11:30 AM (UTC)Fælledparken, København
Full time
What was the result of Skjold Sæby vs Silkeborg KFUM?
Silkeborg KFUM won 0-2 on August 15, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 4 wins, 1 draws and 10 defeats; Silkeborg KFUM have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2020 | Jammerbugt(away) | 0-5 | Friendlies Clubs |
| Nov 2, 2019 | VRI(away) | 2-2 | Denmark Series - Group 4 |
| Oct 26, 2019 | Silkeborg KFUM(home) | 1-5 | Denmark Series - Group 4 |
| Oct 19, 2019 | Djursland(away) | 1-3 | Denmark Series - Group 4 |
| Oct 12, 2019 | Nørresundby(home) | 1-0 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 29, 2020 | Ringkøbing(away) | 2-2 | Friendlies Clubs |
| Feb 22, 2020 | VSK Århus(away) | 2-0 | Friendlies Clubs |
| Nov 1, 2019 | Lyseng(home) | 4-3 | Denmark Series - Group 4 |
| Oct 26, 2019 | Skjold Sæby(away) | 5-1 | Denmark Series - Group 4 |
| Oct 18, 2019 | Aarhus Fremad II(home) | 2-2 | Denmark Series - Group 4 |
What does the head-to-head say?
Across the last 2 meetings: 0 Skjold Sæby win(s), 0 draw(s), 2 Silkeborg KFUM win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 26, 2019 | Skjold Sæby 1-5 Silkeborg KFUM | Denmark Series - Group 4 |
| Aug 23, 2019 | Silkeborg KFUM 3-0 Skjold Sæby | Denmark Series - Group 4 |
Last archived meeting: Skjold Sæby vs Silkeborg KFUM on Oct 26, 2019
How many goals should we expect?
Skjold Sæby score 1.7 and concede 2.7 goals per match over their last 15; Silkeborg KFUM score 2.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 1.7 | 2.7 | 3 | 9/15 | 13/15 |
| Silkeborg KFUM | 2.6 | 1.7 | 3 | 12/15 | 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