Fuglebakken KFUM vs Ringkøbing: result 0-1 and analysis
Denmark Series - Group 4Group 4 - 5Kick-off on September 4, 2021 at 11:00 AM (UTC)
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What was the result of Fuglebakken KFUM vs Ringkøbing?
Ringkøbing won 0-1 on September 4, 2021.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Fuglebakken KFUM have 2 wins, 2 draws and 6 defeats; Ringkøbing have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2021 | ASA Aarhus(home) | 2-2 | Denmark Series - Group 4 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2021 | AaB II(away) | 3-1 | Denmark Series - Group 4 |
| Aug 21, 2021 | Nørresundby(home) | 3-2 | Denmark Series - Group 4 |
| Aug 14, 2021 | VRI(away) | 1-4 | Denmark Series - Group 4 |
| Aug 6, 2021 | Holstebro(home) | 3-0 | Denmark Series - Group 4 |
| Jun 26, 2021 | Nørresundby(home) | 2-2 | Denmark Series - Group 2 |
How many goals should we expect?
Fuglebakken KFUM score 1.2 and concede 2.3 goals per match over their last 10; Ringkøbing score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fuglebakken KFUM | 1.2 | 2.3 | 0 | 7/10 | 9/10 |
| Ringkøbing | 1.6 | 1.3 | 4 | 9/15 | 9/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Fuglebakken KFUM | 18 | 6 | 3 | 9 | 25 | 41 | 21 |
A question about Fuglebakken KFUM vs Ringkøbing?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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