Spouwen-Mopertingen vs Diegem Sport: result 1-2 and analysis
Second Amateur Division - VFV BVFV B - 11Kick-off on November 10, 2019 at 02:00 PM (UTC)Sportpark Katteberg, Bilzen
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What was the result of Spouwen-Mopertingen vs Diegem Sport?
Diegem Sport won 1-2 on November 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spouwen-Mopertingen have 6 wins, 2 draws and 7 defeats; Diegem Sport have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Sporting Hasselt(home) | 3-4 | Second Amateur Division - VFV B |
| Oct 26, 2019 | Hoogstraten(away) | 1-4 | Second Amateur Division - VFV B |
| Oct 20, 2019 | Eendracht Aalst(home) | 1-0 | Second Amateur Division - VFV B |
| Oct 12, 2019 | Geel(away) | 0-2 | Second Amateur Division - VFV B |
| Sep 29, 2019 | Cappellen(away) | 0-3 | Second Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Hoogstraten(home) | 2-0 | Second Amateur Division - VFV B |
| Oct 27, 2019 | Eendracht Aalst(away) | 1-0 | Second Amateur Division - VFV B |
| Oct 20, 2019 | Geel(home) | 4-0 | Second Amateur Division - VFV B |
| Oct 6, 2019 | Cappellen(home) | 0-4 | Second Amateur Division - VFV B |
| Sep 29, 2019 | Pepingen-Halle(away) | 1-2 | Second Amateur Division - VFV B |
How many goals should we expect?
Spouwen-Mopertingen score 1.4 and concede 2.3 goals per match over their last 15; Diegem Sport score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spouwen-Mopertingen | 1.4 | 2.3 | 2 | 10/15 | 10/15 |
| Diegem Sport | 1.3 | 1.5 | 5 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Diegem Sport | 30 | 18 | 8 | 4 | 66 | 33 | 62 |
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