Fuglebakken KFUM vs ASA Aarhus: result 2-2 and analysis
Denmark Series - Group 4Group 4 - 4Kick-off on August 28, 2021 at 11:00 AM (UTC)
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What was the result of Fuglebakken KFUM vs ASA Aarhus?
Fuglebakken KFUM and ASA Aarhus drew 2-2 on August 28, 2021.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Fuglebakken KFUM have 2 wins, 1 draws and 6 defeats; ASA Aarhus have 2, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2021 | Odder(away) | 2-1 | Denmark Series - Group 4 |
| Aug 17, 2021 | VRI(away) | 2-2 | Denmark Series - Group 4 |
| Aug 13, 2021 | AaB II(away) | 1-2 | Denmark Series - Group 4 |
| Aug 7, 2021 | Nørresundby(home) | 1-3 | Denmark Series - Group 4 |
| Aug 3, 2021 | Skive(home) | 0-2 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2021 | AaB II(home) | 0-5 | Denmark Series - Group 4 |
| Aug 14, 2021 | Nørresundby(away) | 0-2 | Denmark Series - Group 4 |
| Aug 10, 2021 | VRI(home) | 1-5 | Denmark Series - Group 4 |
| Nov 10, 2020 | B 93(home) | 1-4 | DBU Pokalen |
| Oct 7, 2020 | Grindsted(away) | 2-1 | DBU Pokalen |
How many goals should we expect?
Fuglebakken KFUM score 1.1 and concede 2.3 goals per match over their last 9; ASA Aarhus score 1.3 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fuglebakken KFUM | 1.1 | 2.3 | 0 | 6/9 | 8/9 |
| ASA Aarhus | 1.3 | 2.8 | 1 | 3/6 | 5/6 |
Over the last 9 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 ASA Aarhus sit 2nd (40 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | ASA Aarhus | 18 | 12 | 4 | 2 | 46 | 18 | 40 |
| 6 | Fuglebakken KFUM | 18 | 6 | 3 | 9 | 25 | 41 | 21 |
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