Skive vs Jammerbugt: prediction and stats
2. DivisionRegular Season - 12Kick-off on October 21, 2022 at 05:00 PM (UTC)Hancock Arena, Skive
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 5 wins, 5 draws and 5 defeats; Jammerbugt have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2022 | Kolding IF(away) | 1-2 | 2. Division |
| Oct 8, 2022 | Roskilde(home) | 1-1 | 2. Division |
| Oct 1, 2022 | Aarhus Fremad(away) | 2-2 | 2. Division |
| Sep 24, 2022 | Frem(home) | 0-0 | 2. Division |
| Sep 17, 2022 | HIK(away) | 2-1 | 2. Division |
| 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 |
What does the head-to-head say?
Across the last 6 meetings: 3 Skive win(s), 0 draw(s), 3 Jammerbugt win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 27, 2022 | Jammerbugt 0-3 Skive | 2. Division |
| Jul 11, 2021 | Skive 1-4 Jammerbugt | Friendlies Clubs |
| Oct 27, 2018 | Skive 2-0 Jammerbugt | 2. Division |
| Sep 1, 2018 | Jammerbugt 2-0 Skive | 2. Division |
| Apr 9, 2012 | Skive 3-1 Jammerbugt | 1. Division |
| Aug 28, 2011 | Jammerbugt 2-1 Skive | 1. Division |
How many goals should we expect?
Skive score 1.5 and concede 1.5 goals per match over their last 15; Jammerbugt score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 1.5 | 1.5 | 3 | 11/15 | 11/15 |
| Jammerbugt | 0.9 | 2.1 | 1 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Skive | 4 | 2 | 0 | 2 | 6 | 6 | 6 |
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