Silkeborg KFUM vs Lyseng: result 4-3 and analysis
Denmark Series - Group 4Group 4 - 14Kick-off on November 1, 2019 at 06:00 PM (UTC)JYSK park, Silkeborg
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What was the result of Silkeborg KFUM vs Lyseng?
Silkeborg KFUM won 4-3 on November 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silkeborg KFUM have 9 wins, 1 draws and 5 defeats; Lyseng have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Djursland(home) | 1-1 | Denmark Series - Group 4 |
| Oct 19, 2019 | Nørresundby(away) | 4-2 | Denmark Series - Group 4 |
| Oct 12, 2019 | Viby(away) | 1-0 | Denmark Series - Group 4 |
| Oct 5, 2019 | Kjellerup(away) | 3-4 | Denmark Series - Group 4 |
| Sep 28, 2019 | Holstebro(home) | 4-1 | 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 Lyseng win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 31, 2019 | Lyseng 1-4 Silkeborg KFUM | Denmark Series - Group 4 |
Last archived meeting: Lyseng vs Silkeborg KFUM on Aug 31, 2019
How many goals should we expect?
Silkeborg KFUM score 2.3 and concede 2.1 goals per match over their last 15; Lyseng score 2.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg KFUM | 2.3 | 2.1 | 2 | 12/15 | 14/15 |
| Lyseng | 2.3 | 1.7 | 3 | 12/15 | 12/15 |
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