Djursland vs Skjold Sæby: result 0-1 and analysis
Denmark Series - Group 4Group 4 - 7Kick-off on September 26, 2020 at 01:00 PM (UTC)HSM Arena Grenå, Grenaa
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What was the result of Djursland vs Skjold Sæby?
Skjold Sæby won 0-1 on September 26, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djursland have 2 wins, 5 draws and 8 defeats; Skjold Sæby have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2020 | Silkeborg KFUM(away) | 1-4 | Denmark Series - Group 4 |
| Sep 12, 2020 | Tjørring(home) | 1-2 | Denmark Series - Group 4 |
| Sep 5, 2020 | VRI(away) | 1-2 | Denmark Series - Group 4 |
| Sep 1, 2020 | Skive(home) | 0-7 | DBU Pokalen |
| Aug 29, 2020 | Kjellerup(home) | 2-2 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Tjørring(away) | 3-4 | Denmark Series - Group 4 |
| Sep 11, 2020 | Kjellerup(home) | 1-1 | Denmark Series - Group 4 |
| Sep 1, 2020 | KFUM(home) | 0-0 | DBU Pokalen |
| Aug 29, 2020 | Vejgaard B(home) | 1-1 | Denmark Series - Group 4 |
| Aug 22, 2020 | Herning Fremad(away) | 3-5 | Denmark Series - Group 4 |
What does the head-to-head say?
Across the last 2 meetings: 1 Djursland win(s), 0 draw(s), 1 Skjold Sæby win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 19, 2019 | Djursland 3-1 Skjold Sæby | Denmark Series - Group 4 |
| Aug 16, 2019 | Skjold Sæby 4-0 Djursland | Denmark Series - Group 4 |
Last archived meeting: Djursland vs Skjold Sæby on Oct 19, 2019
How many goals should we expect?
Djursland score 1.1 and concede 2.4 goals per match over their last 15; Skjold Sæby score 1.3 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djursland | 1.1 | 2.4 | 1 | 10/15 | 11/15 |
| Skjold Sæby | 1.3 | 2.7 | 2 | 11/15 | 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