Geel vs Spouwen-Mopertingen: result 2-0 and analysis
Second Amateur Division - VFV BVFV B - 7Kick-off on October 12, 2019 at 06:00 PM (UTC)De Leunen, Geel
Full time
What was the result of Geel vs Spouwen-Mopertingen?
Geel won 2-0 on October 12, 2019.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Geel have 3 wins, 3 draws and 1 defeats; Spouwen-Mopertingen have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Hoogstraten(away) | 4-1 | Second Amateur Division - VFV B |
| Sep 28, 2019 | Eendracht Aalst(home) | 2-3 | Second Amateur Division - VFV B |
| Sep 21, 2019 | Sporting Hasselt(home) | 0-0 | Second Amateur Division - VFV B |
| Sep 7, 2019 | Cappellen(home) | 2-1 | Second Amateur Division - VFV B |
| Sep 1, 2019 | Pepingen-Halle(away) | 0-0 | Second Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Cappellen(away) | 0-3 | Second Amateur Division - VFV B |
| Sep 22, 2019 | Pepingen-Halle(home) | 2-1 | Second Amateur Division - VFV B |
| Sep 15, 2019 | Olympia Wijgmaal(away) | 1-4 | Second Amateur Division - VFV B |
| Sep 7, 2019 | Bocholt(home) | 1-0 | Second Amateur Division - VFV B |
| Sep 1, 2019 | Londerzeel(away) | 3-2 | Second Amateur Division - VFV B |
How many goals should we expect?
Geel score 1.9 and concede 1.1 goals per match over their last 7; Spouwen-Mopertingen score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Geel | 1.9 | 1.1 | 2 | 5/7 | 5/7 |
| Spouwen-Mopertingen | 1.4 | 1.9 | 2 | 11/15 | 9/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Spouwen-Mopertingen | 34 | 21 | 8 | 5 | 71 | 37 | 71 |
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