Roeselare Daisel vs Drongen: result 1-1 and analysis
Third Amateur Division - VFV AVFV A - 12Kick-off on November 19, 2022 at 06:00 PM (UTC)The NEST, Roulers
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What was the result of Roeselare Daisel vs Drongen?
Roeselare Daisel and Drongen drew 1-1 on November 19, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roeselare Daisel have 5 wins, 5 draws and 5 defeats; Drongen have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 23, 2022 | Jong Lede(away) | 1-1 | Third Amateur Division - VFV A |
| Oct 16, 2022 | Anzegem(home) | 1-3 | Third Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2022 | Tempo Overijse(away) | 0-3 | Third Amateur Division - VFV A |
| Nov 6, 2022 | Eppegem(home) | 1-2 | Third Amateur Division - VFV A |
| Oct 30, 2022 | HO Kalken(away) | 0-0 | Third Amateur Division - VFV A |
| Oct 23, 2022 | Voorde Appelterre(home) | 2-2 | Third Amateur Division - VFV A |
| Oct 16, 2022 | Eendracht Aalter(away) | 4-1 | Third Amateur Division - VFV A |
How many goals should we expect?
Roeselare Daisel score 1.3 and concede 1.6 goals per match over their last 15; Drongen score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roeselare Daisel | 1.3 | 1.6 | 4 | 10/15 | 8/15 |
| Drongen | 1.1 | 1.7 | 3 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Drongen | 30 | 11 | 6 | 13 | 49 | 51 | 39 |
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