Gullegem vs Dikkelvenne: result 0-2 and analysis
Second Amateur Division - VFV ARegular Season - 7Kick-off on October 14, 2018 at 01:00 PM (UTC)Stadion FC Gullegem, Gullegem
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What was the result of Gullegem vs Dikkelvenne?
Dikkelvenne won 0-2 on October 14, 2018.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Gullegem have 2 wins, 1 draw and 3 defeats; Dikkelvenne have 1, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2018 | Londerzeel(away) | 4-1 | Second Amateur Division - VFV A |
| Sep 30, 2018 | Harelbeke(home) | 1-2 | Second Amateur Division - VFV A |
| Sep 22, 2018 | KRC Gent(away) | 0-0 | Second Amateur Division - VFV A |
| Sep 16, 2018 | Olsa Brakel(home) | 0-2 | Second Amateur Division - VFV A |
| Sep 9, 2018 | Diegem Sport(away) | 2-1 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Westhoek(home) | 1-4 | Second Amateur Division - VFV A |
| Sep 30, 2018 | Olympia Wijgmaal(away) | 0-1 | Second Amateur Division - VFV A |
| Sep 22, 2018 | Mandel United(home) | 0-0 | Second Amateur Division - VFV A |
| Sep 16, 2018 | Ronse(away) | 1-0 | Second Amateur Division - VFV A |
| Sep 8, 2018 | Eppegem(home) | 0-1 | Second Amateur Division - VFV A |
How many goals should we expect?
Gullegem score 1.3 and concede 1.3 goals per match over their last 6; Dikkelvenne score 0.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gullegem | 1.3 | 1.3 | 1 | 4/6 | 4/6 |
| Dikkelvenne | 0.3 | 1.8 | 2 | 1/6 | 2/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Gullegem | 30 | 8 | 8 | 14 | 47 | 53 | 32 |
A question about Gullegem 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