Diegem Sport vs Harelbeke: result 2-1 and analysis
Second Amateur Division - VFV ARegular Season - 7Kick-off on October 14, 2018 at 01:00 PM (UTC)Gemeentelijk Sportstadion, Diegem
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What was the result of Diegem Sport vs Harelbeke?
Diegem Sport won 2-1 on October 14, 2018.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Diegem Sport have 1 wins, 0 draws and 5 defeats; Harelbeke have 3, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | KRC Gent(away) | 0-2 | Second Amateur Division - VFV A |
| Sep 30, 2018 | Olsa Brakel(home) | 3-1 | Second Amateur Division - VFV A |
| Sep 23, 2018 | Sparta Petegem(home) | 0-2 | Second Amateur Division - VFV A |
| Sep 16, 2018 | Toekomst Menen(away) | 1-4 | Second Amateur Division - VFV A |
| Sep 9, 2018 | Gullegem(home) | 1-2 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Toekomst Menen(home) | 3-0 | Second Amateur Division - VFV A |
| Sep 30, 2018 | Gullegem(away) | 2-1 | Second Amateur Division - VFV A |
| Sep 22, 2018 | Westhoek(home) | 4-1 | Second Amateur Division - VFV A |
| Sep 16, 2018 | Olympia Wijgmaal(away) | 1-2 | Second Amateur Division - VFV A |
| Sep 9, 2018 | Mandel United(home) | 2-4 | Second Amateur Division - VFV A |
How many goals should we expect?
Diegem Sport score 0.8 and concede 2.5 goals per match over their last 6; Harelbeke score 2.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diegem Sport | 0.8 | 2.5 | 0 | 3/6 | 4/6 |
| Harelbeke | 2.0 | 1.5 | 1 | 4/6 | 5/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Harelbeke | 30 | 10 | 11 | 9 | 57 | 47 | 41 |
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