Roskilde vs Jammerbugt: prediction and stats
2. DivisionRelegation Round - 4Kick-off on May 6, 2023 at 11:00 AM (UTC)Roskilde Idrætspark, Roskilde
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roskilde have 7 wins, 3 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 |
|---|---|---|---|
| Apr 29, 2023 | Frem(away) | 5-2 | 2. Division |
| Apr 21, 2023 | HIK(away) | 1-0 | 2. Division |
| Apr 16, 2023 | Skive(home) | 1-1 | 2. Division |
| Apr 10, 2023 | Aarhus Fremad(away) | 1-1 | 2. Division |
| Apr 6, 2023 | Thisted FC(home) | 0-1 | 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 2 meetings: 2 Roskilde wins, 0 draws, 0 Jammerbugt wins.
| Date | Score | Competition |
|---|---|---|
| Apr 5, 2012 | Jammerbugt 1-2 Roskilde | 1. Division |
| Aug 21, 2011 | Roskilde 5-1 Jammerbugt | 1. Division |
Last archived meeting: Jammerbugt vs Roskilde on Apr 5, 2012
How many goals should we expect?
Roskilde score 1.6 and concede 1.2 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 |
|---|---|---|---|---|---|
| Roskilde | 1.6 | 1.2 | 4 | 9/15 | 8/15 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Roskilde | 11 | 5 | 6 | 0 | 21 | 10 | 21 |
A question about Roskilde vs Jammerbugt?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy