Fuglebakken KFUM vs Nørresundby: result 1-3 and analysis
Denmark Series - Group 4Group 4 - 1Kick-off on August 7, 2021 at 11:00 AM (UTC)
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What was the result of Fuglebakken KFUM vs Nørresundby?
Nørresundby won 1-3 on August 7, 2021.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Fuglebakken KFUM have 1 wins, 0 draws and 4 defeats; Nørresundby have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2021 | Skive(home) | 0-2 | DBU Pokalen |
| Sep 3, 2019 | Viby(home) | 0-3 | DBU Pokalen |
| Aug 6, 2019 | Vatanspor(home) | 3-1 | DBU Pokalen |
| Aug 7, 2018 | Kjellerup(home) | 1-4 | DBU Pokalen |
| Aug 11, 2015 | AC Horsens(home) | 0-3 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2021 | Aarhus Fremad(home) | 0-6 | DBU Pokalen |
| Jun 26, 2021 | Ringkøbing(away) | 2-2 | Denmark Series - Group 2 |
| Jun 23, 2021 | Tarup-Paarup(home) | 1-0 | Denmark Series - Group 2 |
| Jun 19, 2021 | Kolding B(home) | 1-0 | Denmark Series - Group 2 |
| Jun 12, 2021 | Horsens II(away) | 2-5 | Denmark Series - Group 2 |
How many goals should we expect?
Fuglebakken KFUM score 0.8 and concede 2.6 goals per match over their last 5; Nørresundby score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fuglebakken KFUM | 0.8 | 2.6 | 0 | 2/5 | 4/5 |
| Nørresundby | 1.5 | 2.1 | 3 | 9/15 | 9/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Fuglebakken KFUM sit 6th in Denmark Series - Group 4 (21 points from 18 matches) and Nørresundby sit 8th (17 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Fuglebakken KFUM | 18 | 6 | 3 | 9 | 25 | 41 | 21 |
| 8 | Nørresundby | 18 | 4 | 5 | 9 | 27 | 40 | 17 |
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