Roeselare Daisel vs Gullegem: result 3-2 and analysis
Second Amateur Division - VFV AVV A - 4Kick-off on September 22, 2024 at 01:00 PM (UTC)The NEST, Roeselare (Roulers)
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What was the result of Roeselare Daisel vs Gullegem?
Roeselare Daisel won 3-2 on September 22, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roeselare Daisel have 8 wins, 4 draws and 3 defeats; Gullegem have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2024 | Westerlo II(away) | 1-0 | Second Amateur Division - VFV A |
| Sep 8, 2024 | FC Lebbeke(home) | 2-0 | Second Amateur Division - VFV A |
| Aug 31, 2024 | Zulte Waregem II(away) | 1-2 | Second Amateur Division - VFV A |
| Aug 11, 2024 | Blankenberge(home) | 1-1 | Cup |
| Jul 24, 2024 | Oudenaarde(home) | 0-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2024 | Torhout(home) | 3-4 | Second Amateur Division - VFV A |
| Sep 8, 2024 | Voorde Appelterre(home) | 1-0 | Second Amateur Division - VFV A |
| Aug 31, 2024 | Dikkelvenne(away) | 0-0 | Second Amateur Division - VFV A |
| Aug 11, 2024 | VW Hamme(away) | 0-2 | Cup |
| May 5, 2024 | Eendracht Aalst(away) | 3-1 | Second Amateur Division - VFV A |
How many goals should we expect?
Roeselare Daisel score 1.7 and concede 0.8 goals per match over their last 15; Gullegem score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roeselare Daisel | 1.7 | 0.8 | 6 | 7/15 | 5/15 |
| Gullegem | 1.5 | 1.8 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 16 | Gullegem | 30 | 8 | 8 | 14 | 47 | 53 | 32 |
A question about Roeselare Daisel vs Gullegem?
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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