Harelbeke vs Tempo Overijse: result 3-1 and analysis
Second Amateur Division - VFV ARegular Season - 13Kick-off on November 25, 2018 at 02:00 PM (UTC)Forestiersstadion, Harelbeke
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What was the result of Harelbeke vs Tempo Overijse?
Harelbeke won 3-1 on November 25, 2018.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Harelbeke have 3 wins, 3 draws and 6 defeats; Tempo Overijse have 4, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2018 | Dikkelvenne(away) | 0-1 | Second Amateur Division - VFV A |
| Nov 11, 2018 | Londerzeel(home) | 0-3 | Second Amateur Division - VFV A |
| Nov 4, 2018 | Sparta Petegem(home) | 0-0 | Second Amateur Division - VFV A |
| Oct 27, 2018 | KRC Gent(away) | 1-1 | Second Amateur Division - VFV A |
| Oct 21, 2018 | Olsa Brakel(home) | 2-2 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 28, 2018 | Toekomst Menen(away) | 2-2 | Second Amateur Division - VFV A |
| Oct 20, 2018 | Gullegem(home) | 1-0 | Second Amateur Division - VFV A |
How many goals should we expect?
Harelbeke score 1.3 and concede 1.5 goals per match over their last 12; Tempo Overijse score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Harelbeke | 1.3 | 1.5 | 2 | 7/12 | 8/12 |
| Tempo Overijse | 1.3 | 1.4 | 3 | 5/12 | 7/12 |
Over the last 12 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