KRC Gent vs Dikkelvenne: result 6-2 and analysis
Second Amateur Division - VFV ARegular Season - 11Kick-off on November 10, 2018 at 07:00 PM (UTC)Chillax Arena, Oostakker
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What was the result of KRC Gent vs Dikkelvenne?
KRC Gent won 6-2 on November 10, 2018.
What is the recent form of both teams?
Over their last 10 matches in all competitions, KRC Gent have 3 wins, 4 draws and 3 defeats; Dikkelvenne have 3, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 6, 2018 | Diegem Sport(home) | 2-0 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Olsa Brakel(home) | 1-3 | Second Amateur Division - VFV A |
| Oct 28, 2018 | Diegem Sport(away) | 1-0 | Second Amateur Division - VFV A |
| Oct 20, 2018 | Toekomst Menen(home) | 1-1 | Second Amateur Division - VFV A |
| Oct 14, 2018 | Gullegem(away) | 2-0 | Second Amateur Division - VFV A |
| Oct 6, 2018 | Westhoek(home) | 1-4 | Second Amateur Division - VFV A |
How many goals should we expect?
KRC Gent score 1.8 and concede 1.4 goals per match over their last 10; Dikkelvenne score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KRC Gent | 1.8 | 1.4 | 2 | 7/10 | 5/10 |
| Dikkelvenne | 0.7 | 1.5 | 4 | 3/10 | 3/10 |
Over the last 10 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 |
A question about KRC Gent vs Dikkelvenne?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy