Djursland vs Skjold Sæby: result 3-1 and analysis
Denmark Series - Group 4Group 4 - 12Kick-off on October 19, 2019 at 01:00 PM (UTC)HSM Arena Grenå, Grenaa
Full time
What was the result of Djursland vs Skjold Sæby?
Djursland won 3-1 on October 19, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djursland have 4 wins, 5 draws and 6 defeats; Skjold Sæby have 5, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Aarhus Fremad II(away) | 1-0 | Denmark Series - Group 4 |
| Oct 5, 2019 | VRI(home) | 2-2 | Denmark Series - Group 4 |
| Sep 28, 2019 | Silkeborg KFUM(home) | 2-4 | Denmark Series - Group 4 |
| Sep 22, 2019 | Holstebro(away) | 2-2 | Denmark Series - Group 4 |
| Sep 14, 2019 | Nørresundby(away) | 1-1 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Nørresundby(home) | 1-0 | Denmark Series - Group 4 |
| Oct 5, 2019 | Viby(away) | 1-3 | Denmark Series - Group 4 |
| Sep 29, 2019 | Kjellerup(away) | 2-5 | Denmark Series - Group 4 |
| Sep 21, 2019 | Lyseng(home) | 2-3 | Denmark Series - Group 4 |
| Sep 15, 2019 | Holstebro(away) | 2-1 | Denmark Series - Group 4 |
What does the head-to-head say?
Across the last 1 meetings: 0 Djursland win(s), 0 draw(s), 1 Skjold Sæby win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 16, 2019 | Skjold Sæby 4-0 Djursland | Denmark Series - Group 4 |
Last archived meeting: Skjold Sæby vs Djursland on Aug 16, 2019
How many goals should we expect?
Djursland score 1.4 and concede 1.9 goals per match over their last 15; Skjold Sæby score 1.9 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djursland | 1.4 | 1.9 | 3 | 10/15 | 11/15 |
| Skjold Sæby | 1.9 | 2.6 | 3 | 9/15 | 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