Roeselare Daisel vs Elene-Grotenberge: result 3-2 and analysis
Third Amateur Division - VFV AVFV A - 5Kick-off on October 1, 2022 at 05:00 PM (UTC)The NEST, Roulers
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What was the result of Roeselare Daisel vs Elene-Grotenberge?
Roeselare Daisel won 3-2 on October 1, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roeselare Daisel have 8 wins, 3 draws and 4 defeats; Elene-Grotenberge have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2022 | Wolvertem Merchtem(home) | 0-0 | Third Amateur Division - VFV A |
| Sep 17, 2022 | Tempo Overijse(away) | 1-4 | Third Amateur Division - VFV A |
| Sep 11, 2022 | VW Hamme(home) | 0-2 | Third Amateur Division - VFV A |
| Sep 3, 2022 | Eendracht Aalter(away) | 3-1 | Third Amateur Division - VFV A |
| Aug 14, 2022 | JS Fizoise(away) | 2-3 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2022 | Eendracht Wervik(home) | 2-2 | Third Amateur Division - VFV A |
| Sep 17, 2022 | Eendracht Aalter(away) | 4-1 | Third Amateur Division - VFV A |
| Sep 11, 2022 | Voorde Appelterre(home) | 0-2 | Third Amateur Division - VFV A |
| Sep 4, 2022 | Anzegem(away) | 1-3 | Third Amateur Division - VFV A |
| Aug 6, 2022 | Beringen(away) | 0-1 | Cup |
How many goals should we expect?
Roeselare Daisel score 2.0 and concede 1.3 goals per match over their last 15; Elene-Grotenberge score 2.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roeselare Daisel | 2.0 | 1.3 | 4 | 9/15 | 9/15 |
| Elene-Grotenberge | 2.7 | 1.3 | 4 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 12 | Elene-Grotenberge | 30 | 11 | 3 | 16 | 33 | 42 | 36 |
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