Jammerbugt vs Aarhus Fremad: prediction and stats
2. DivisionRegular Season - 15Kick-off on November 12, 2022 at 02:00 PM (UTC)Sparekassen Danmark Arena, Pandrup
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jammerbugt have 4 wins, 1 draws and 10 defeats; Aarhus Fremad have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2022 | SGI(away) | 1-0 | DBU Pokalen |
| Aug 27, 2022 | Skive(home) | 0-3 | 2. Division |
| Aug 20, 2022 | Frem(away) | 0-2 | 2. Division |
| Aug 13, 2022 | HIK(home) | 1-4 | 2. Division |
| Aug 6, 2022 | Kolding IF(away) | 0-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2022 | Fremad Amager(home) | 3-1 | DBU Pokalen |
| Nov 5, 2022 | Thisted FC(home) | 5-0 | 2. Division |
| Oct 29, 2022 | Kolding IF(away) | 1-0 | 2. Division |
| Oct 23, 2022 | B 93(home) | 2-0 | 2. Division |
| Oct 19, 2022 | Brondby(home) | 4-0 | DBU Pokalen |
What does the head-to-head say?
Across the last 5 meetings: 1 Jammerbugt win(s), 2 draw(s), 2 Aarhus Fremad win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 17, 2021 | Jammerbugt 3-0 Aarhus Fremad | 2. Division |
| Oct 31, 2020 | Aarhus Fremad 1-1 Jammerbugt | 2. Division |
| Sep 8, 2019 | Jammerbugt 0-2 Aarhus Fremad | 2nd Division - Group 2 |
| Mar 9, 2019 | Aarhus Fremad 4-0 Jammerbugt | 2. Division |
| Aug 11, 2018 | Jammerbugt 1-1 Aarhus Fremad | 2. Division |
Last archived meeting: Jammerbugt vs Aarhus Fremad on Apr 17, 2021
How many goals should we expect?
Jammerbugt score 0.9 and concede 2.1 goals per match over their last 15; Aarhus Fremad score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jammerbugt | 0.9 | 2.1 | 1 | 7/15 | 9/15 |
| Aarhus Fremad | 2.3 | 1.1 | 5 | 8/15 | 9/15 |
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