Roeselare Daisel vs FC Lebbeke: result 2-0 and analysis
Second Amateur Division - VFV AVV A - 2Kick-off on September 8, 2024 at 01:00 PM (UTC)The NEST, Roeselare (Roulers)
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What was the result of Roeselare Daisel vs FC Lebbeke?
Roeselare Daisel won 2-0 on September 8, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roeselare Daisel have 7 wins, 5 draws and 3 defeats; FC Lebbeke have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 12, 2024 | Wellen(home) | 4-1 | Third Amateur Division - Play-offs |
| May 9, 2024 | Berg en Dal(away) | 0-1 | Third Amateur Division - Play-offs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2024 | Harelbeke(home) | 2-2 | Second Amateur Division - VFV A |
| Aug 10, 2024 | Berlare(home) | 2-3 | Cup |
| May 5, 2024 | Racing Mechelen(away) | 1-0 | Second Amateur Division - VFV B |
| Apr 28, 2024 | Tongeren(home) | 0-0 | Second Amateur Division - VFV B |
| Apr 21, 2024 | Diegem Sport(away) | 1-5 | Second Amateur Division - VFV B |
How many goals should we expect?
Roeselare Daisel score 1.7 and concede 0.9 goals per match over their last 15; FC Lebbeke score 1.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roeselare Daisel | 1.7 | 0.9 | 5 | 8/15 | 6/15 |
| FC Lebbeke | 1.6 | 1.6 | 4 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | FC Lebbeke | 30 | 13 | 7 | 10 | 38 | 40 | 46 |
A question about Roeselare Daisel vs FC Lebbeke?
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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