Skjold Sæby vs Lyseng: result 0-3 and analysis
Denmark Series - Group 4Regular Season - 19Kick-off on April 22, 2017 at 11:30 AM (UTC)Fælledparken, København
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What was the result of Skjold Sæby vs Lyseng?
Lyseng won 0-3 on April 22, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 3 wins, 3 draws and 9 defeats; Lyseng have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2017 | Lystrup(home) | 2-2 | Denmark Series - Group 4 |
| Apr 8, 2017 | Skanderborg(away) | 2-4 | Denmark Series - Group 4 |
| Apr 1, 2017 | Randers Freja(home) | 1-4 | Denmark Series - Group 4 |
| Mar 26, 2017 | VSK Aarhus II(away) | 2-2 | Denmark Series - Group 4 |
| Nov 5, 2016 | AaB II(home) | 1-1 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2017 | Vatanspor(away) | 0-1 | Denmark Series - Group 4 |
| Apr 8, 2017 | Aarhus Fremad II(home) | 2-0 | Denmark Series - Group 4 |
| Apr 2, 2017 | Holstebro(away) | 1-1 | Denmark Series - Group 4 |
| Mar 25, 2017 | AaB II(away) | 2-0 | Denmark Series - Group 4 |
| Nov 5, 2016 | Lystrup(home) | 1-0 | 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 Lyseng win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2016 | Lyseng 2-1 Skjold Sæby | Denmark Series - Group 4 |
| Aug 23, 2016 | Skjold Sæby 0-1 Lyseng | Denmark Series - Group 4 |
How many goals should we expect?
Skjold Sæby score 1.2 and concede 2.4 goals per match over their last 15; Lyseng score 2.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 1.2 | 2.4 | 3 | 9/15 | 11/15 |
| Lyseng | 2.2 | 0.9 | 7 | 7/15 | 8/15 |
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