Skjold Sæby vs Randers Freja: result 1-4 and analysis
Denmark Series - Group 4Regular Season - 16Kick-off on April 1, 2017 at 11:30 AM (UTC)Fælledparken, København
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What was the result of Skjold Sæby vs Randers Freja?
Randers Freja won 1-4 on April 1, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 3 wins, 2 draws and 10 defeats; Randers Freja have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 15, 2016 | Holstebro(home) | 1-0 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Vatanspor(home) | 1-3 | Denmark Series - Group 4 |
| Nov 4, 2016 | Aarhus Fremad II(home) | 1-1 | Denmark Series - Group 4 |
| Oct 29, 2016 | Holstebro(home) | 0-4 | Denmark Series - Group 4 |
| Oct 22, 2016 | Lyseng(away) | 1-5 | Denmark Series - Group 4 |
| Oct 15, 2016 | Lystrup(away) | 3-5 | 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 Randers Freja win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | Randers Freja 3-1 Skjold Sæby | Denmark Series - Group 4 |
Last archived meeting: Randers Freja vs Skjold Sæby on Sep 17, 2016
How many goals should we expect?
Skjold Sæby score 1.0 and concede 2.1 goals per match over their last 15; Randers Freja score 1.7 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 1.0 | 2.1 | 3 | 8/15 | 10/15 |
| Randers Freja | 1.7 | 2.7 | 0 | 13/15 | 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