Eppegem vs Roeselare Daisel: result 2-1 and analysis
Third Amateur Division - VFV AVFV A - 14Kick-off on December 4, 2022 at 01:30 PM (UTC)Complex Den Dries, Eppegem
Full time
What was the result of Eppegem vs Roeselare Daisel?
Eppegem won 2-1 on December 4, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Eppegem have 2 wins, 5 draws and 8 defeats; Roeselare Daisel have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2022 | Rumbeke(home) | 1-2 | Third Amateur Division - VFV A |
| Nov 20, 2022 | Jong Lede(away) | 1-3 | Third Amateur Division - VFV A |
| Nov 13, 2022 | Anzegem(home) | 0-1 | Third Amateur Division - VFV A |
| Nov 6, 2022 | Drongen(away) | 2-1 | Third Amateur Division - VFV A |
| Oct 30, 2022 | Elene-Grotenberge(home) | 1-1 | Third Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2022 | Eendracht Wervik(away) | 3-1 | Third Amateur Division - VFV A |
| Nov 19, 2022 | Drongen(home) | 1-1 | Third Amateur Division - VFV A |
| Nov 13, 2022 | Wielsbeke(away) | 2-1 | Third Amateur Division - VFV A |
| Nov 5, 2022 | HO Kalken(home) | 0-0 | Third Amateur Division - VFV A |
| Oct 30, 2022 | Voorde Appelterre(away) | 1-4 | Third Amateur Division - VFV A |
How many goals should we expect?
Eppegem score 0.9 and concede 1.7 goals per match over their last 15; Roeselare Daisel score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Eppegem | 0.9 | 1.7 | 2 | 10/15 | 9/15 |
| Roeselare Daisel | 1.3 | 1.6 | 3 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Roeselare Daisel | 30 | 13 | 11 | 6 | 44 | 25 | 50 |
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