Skjold Sæby vs Herning Fremad: result 2-3 and analysis
Denmark Series - Group 4Group 4 - 13Kick-off on April 1, 2021 at 11:30 AM (UTC)Fælledparken, København
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What was the result of Skjold Sæby vs Herning Fremad?
Herning Fremad won 2-3 on April 1, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 1 wins, 6 draws and 8 defeats; Herning Fremad have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2020 | VRI(away) | 1-1 | Denmark Series - Group 4 |
| Oct 17, 2020 | Aarhus Fremad II(home) | 1-2 | Denmark Series - Group 4 |
| Oct 14, 2020 | Nørresundby(home) | 2-2 | Denmark Series - Group 4 |
| Oct 10, 2020 | Lyseng(away) | 1-3 | Denmark Series - Group 4 |
| Sep 26, 2020 | Djursland(away) | 1-0 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2020 | Kjellerup(home) | 0-6 | Denmark Series - Group 4 |
| Oct 10, 2020 | Vejgaard B(home) | 0-6 | Denmark Series - Group 4 |
| Oct 3, 2020 | Djursland(home) | 2-3 | Denmark Series - Group 4 |
| Sep 25, 2020 | Silkeborg KFUM(away) | 1-3 | Denmark Series - Group 4 |
| Sep 19, 2020 | VRI(home) | 0-2 | 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 Herning Fremad win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2020 | Herning Fremad 5-3 Skjold Sæby | Denmark Series - Group 4 |
Last archived meeting: Herning Fremad vs Skjold Sæby on Aug 22, 2020
How many goals should we expect?
Skjold Sæby score 1.2 and concede 2.4 goals per match over their last 15; Herning Fremad score 1.3 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 1.2 | 2.4 | 2 | 11/15 | 9/15 |
| Herning Fremad | 1.3 | 3.5 | 0 | 10/15 | 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