Dikkelvenne vs Tempo Overijse: result 0-2 and analysis
Second Amateur Division - VFV ARegular Season - 15Kick-off on December 9, 2018 at 01:30 PM (UTC)Sportcomplex Marc Gevaert, Dikkelvenne
Full time
What was the result of Dikkelvenne vs Tempo Overijse?
Tempo Overijse won 0-2 on December 9, 2018.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Dikkelvenne have 4 wins, 3 draws and 7 defeats; Tempo Overijse have 4, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2018 | Sparta Petegem(away) | 0-2 | Second Amateur Division - VFV A |
| Nov 25, 2018 | Londerzeel(away) | 0-0 | Second Amateur Division - VFV A |
| Nov 18, 2018 | Harelbeke(home) | 1-0 | Second Amateur Division - VFV A |
| Nov 10, 2018 | KRC Gent(away) | 2-6 | Second Amateur Division - VFV A |
| Nov 4, 2018 | Olsa Brakel(home) | 1-3 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2018 | Londerzeel(home) | 2-3 | Second Amateur Division - VFV A |
| Nov 25, 2018 | Harelbeke(away) | 1-3 | Second Amateur Division - VFV A |
| Nov 18, 2018 | KRC Gent(home) | 0-2 | Second Amateur Division - VFV A |
| Nov 11, 2018 | Olsa Brakel(away) | 0-3 | Second Amateur Division - VFV A |
| Nov 4, 2018 | Diegem Sport(home) | 1-1 | Second Amateur Division - VFV A |
How many goals should we expect?
Dikkelvenne score 0.7 and concede 1.6 goals per match over their last 14; Tempo Overijse score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dikkelvenne | 0.7 | 1.6 | 6 | 4/14 | 4/14 |
| Tempo Overijse | 1.3 | 1.6 | 3 | 7/14 | 9/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Dikkelvenne | 30 | 13 | 10 | 7 | 56 | 38 | 49 |
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