Skovshoved vs Hillerød: result 0-1 and analysis
2. DivisionGroup 1 - 3Kick-off on August 17, 2019 at 01:00 PM (UTC)Skovshoved IP, Klampenborg
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What was the result of Skovshoved vs Hillerød?
Hillerød won 0-1 on August 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skovshoved have 5 wins, 6 draws and 4 defeats; Hillerød have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2019 | Slagelse B&I(away) | 2-0 | 2. Division |
| Aug 8, 2019 | Avarta(away) | 2-4 | DBU Pokalen |
| Aug 3, 2019 | FC Helsingor(home) | 0-1 | 2. Division |
| Apr 13, 2019 | Frem(away) | 1-0 | 2nd Division - Group 2 |
| Apr 6, 2019 | AB Copenhagen(home) | 1-1 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | Frem(home) | 1-0 | 2. Division |
| Aug 7, 2019 | Rudersdal(away) | 5-0 | DBU Pokalen |
| Aug 3, 2019 | B 93(away) | 5-1 | 2. Division |
| Apr 13, 2019 | Marienlyst(home) | 0-1 | 2nd Division - Group 2 |
| Apr 6, 2019 | Avarta(away) | 3-2 | 2nd Division - Group 2 |
What does the head-to-head say?
Across the last 4 meetings: 2 Skovshoved win(s), 0 draw(s), 2 Hillerød win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2018 | Hillerød 3-1 Skovshoved | 2nd Division - Group 2 |
| Aug 22, 2018 | Skovshoved 1-3 Hillerød | 2nd Division - Group 2 |
| Oct 7, 2017 | Skovshoved 3-0 Hillerød | 2. Division |
| Sep 2, 2017 | Hillerød 1-3 Skovshoved | 2. Division |
Last archived meeting: Hillerød vs Skovshoved on Nov 3, 2018
How many goals should we expect?
Skovshoved score 1.4 and concede 1.4 goals per match over their last 15; Hillerød score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skovshoved | 1.4 | 1.4 | 4 | 10/15 | 7/15 |
| Hillerød | 2.1 | 1.5 | 2 | 11/15 | 11/15 |
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