Skanderborg vs Skjold Sæby: result 4-2 and analysis
Denmark Series - Group 4Regular Season - 17Kick-off on April 8, 2017 at 11:00 AM (UTC)Zitcom Stadion, Skanderborg
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What was the result of Skanderborg vs Skjold Sæby?
Skanderborg won 4-2 on April 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skanderborg have 4 wins, 2 draws and 9 defeats; Skjold Sæby have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Vatanspor(away) | 1-3 | Denmark Series - Group 4 |
| Mar 25, 2017 | Aarhus Fremad II(home) | 4-4 | Denmark Series - Group 4 |
| Nov 4, 2016 | Holstebro(away) | 1-3 | Denmark Series - Group 4 |
| Oct 29, 2016 | Lyseng(home) | 0-4 | Denmark Series - Group 4 |
| Oct 22, 2016 | Lystrup(away) | 1-5 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 29, 2016 | Vatanspor(home) | 1-2 | Denmark Series - Group 4 |
| Oct 23, 2016 | Aarhus Fremad II(away) | 0-3 | Denmark Series - Group 4 |
What does the head-to-head say?
Across the last 1 meetings: 0 Skanderborg win(s), 0 draw(s), 1 Skjold Sæby win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2016 | Skjold Sæby 1-0 Skanderborg | Denmark Series - Group 4 |
Last archived meeting: Skjold Sæby vs Skanderborg on Sep 24, 2016
How many goals should we expect?
Skanderborg score 1.5 and concede 2.6 goals per match over their last 15; Skjold Sæby score 1.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skanderborg | 1.5 | 2.6 | 0 | 11/15 | 12/15 |
| Skjold Sæby | 1.0 | 2.3 | 3 | 8/15 | 10/15 |
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