Aarhus vs Odense: result 1-0 and analysis
DBU Pokalen8th FinalsKick-off on October 31, 2019 at 07:15 PM (UTC)Ceres Park & Arena, Århus
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What was the result of Aarhus vs Odense?
Aarhus won 1-0 on October 31, 2019.
Goalscorers
- 86′J. AnkersenAarhus
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aarhus have 8 wins, 1 draws and 6 defeats; Odense have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2019 | FC Copenhagen(home) | 1-2 | Superliga |
| Oct 20, 2019 | Silkeborg(home) | 3-4 | Superliga |
| Oct 6, 2019 | Randers FC(away) | 0-2 | Superliga |
| Sep 29, 2019 | FC Nordsjaelland(home) | 3-1 | Superliga |
| Sep 26, 2019 | VSK Århus(away) | 3-1 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | FC Nordsjaelland(home) | 3-1 | Superliga |
| Oct 18, 2019 | Aalborg(away) | 0-1 | Superliga |
| Oct 6, 2019 | AC Horsens(home) | 3-0 | Superliga |
| Sep 29, 2019 | FC Midtjylland(away) | 1-0 | Superliga |
| Sep 24, 2019 | Otterup(away) | 2-0 | DBU Pokalen |
What does the head-to-head say?
Across the last 6 meetings: 4 Aarhus win(s), 1 draw(s), 1 Odense win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 20, 2019 | Odense 1-2 Aarhus | Superliga |
| Mar 11, 2019 | Aarhus 1-2 Odense | Superliga |
| Oct 6, 2018 | Odense 2-2 Aarhus | Superliga |
| May 13, 2018 | Odense 2-3 Aarhus | Superliga |
| May 6, 2018 | Aarhus 3-2 Odense | Superliga |
| Mar 9, 2018 | Odense 0-1 Aarhus | Superliga |
How many goals should we expect?
Aarhus score 1.9 and concede 1.2 goals per match over their last 15; Odense score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aarhus | 1.9 | 1.2 | 5 | 8/15 | 10/15 |
| Odense | 1.5 | 0.9 | 8 | 5/15 | 7/15 |
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