Tempo Overijse vs KRC Gent: result 0-2 and analysis
Second Amateur Division - VFV ARegular Season - 12Kick-off on November 18, 2018 at 02:00 PM (UTC)Begijnhofstadion, Overijse
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What was the result of Tempo Overijse vs KRC Gent?
KRC Gent won 0-2 on November 18, 2018.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Tempo Overijse have 4 wins, 3 draws and 4 defeats; KRC Gent have 4, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 14, 2018 | Westhoek(away) | 3-0 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2018 | Dikkelvenne(home) | 6-2 | Second Amateur Division - VFV A |
| Nov 4, 2018 | Londerzeel(away) | 2-1 | Second Amateur Division - VFV A |
| Oct 27, 2018 | Harelbeke(home) | 1-1 | Second Amateur Division - VFV A |
| Oct 20, 2018 | Sparta Petegem(home) | 2-3 | Second Amateur Division - VFV A |
| Oct 14, 2018 | Olsa Brakel(away) | 2-2 | Second Amateur Division - VFV A |
How many goals should we expect?
Tempo Overijse score 1.4 and concede 1.4 goals per match over their last 11; KRC Gent score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tempo Overijse | 1.4 | 1.4 | 3 | 5/11 | 7/11 |
| KRC Gent | 2.2 | 1.5 | 2 | 8/11 | 6/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | KRC Gent | 30 | 9 | 7 | 14 | 46 | 66 | 34 |
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