Dessel Sport vs Rupel Boom: result 4-0 and analysis
First Amateur DivisionRegular Season - 13Kick-off on November 23, 2019 at 06:30 PM (UTC)Armand Melis Stadion, Dessel
Full time
What was the result of Dessel Sport vs Rupel Boom?
Dessel Sport won 4-0 on November 23, 2019.
Goalscorers
- 15′Ratko VansimpsenDessel Sport
- 33′L. VersmissenDessel Sport
- 51′Ratko VansimpsenDessel Sport
- 84′M. TroonbeeckxDessel Sport
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dessel Sport have 6 wins, 3 draws and 6 defeats; Rupel Boom have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Deinze(away) | 0-0 | First Amateur Division |
| Nov 9, 2019 | Heist(home) | 1-1 | First Amateur Division |
| Nov 2, 2019 | Patro Eisden(home) | 0-1 | First Amateur Division |
| Oct 26, 2019 | Dender(away) | 0-1 | First Amateur Division |
| Oct 19, 2019 | La Louvière Centre(home) | 5-2 | First Amateur Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | RWDM(home) | 0-0 | First Amateur Division |
| Nov 9, 2019 | Dender(away) | 2-2 | First Amateur Division |
| Nov 3, 2019 | K. Lierse S.K.(home) | 2-2 | First Amateur Division |
| Oct 27, 2019 | Liège(away) | 3-2 | First Amateur Division |
| Oct 20, 2019 | Patro Eisden(home) | 1-0 | First Amateur Division |
How many goals should we expect?
Dessel Sport score 1.4 and concede 1.1 goals per match over their last 15; Rupel Boom score 2.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dessel Sport | 1.4 | 1.1 | 3 | 8/15 | 6/15 |
| Rupel Boom | 2.1 | 1.7 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Dessel Sport | 11 | 4 | 4 | 3 | 23 | 21 | 16 |
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