Gullegem vs Knokke: result 0-0 and analysis
Second Amateur Division - VFV AVFV A - 9Kick-off on October 27, 2019 at 01:00 PM (UTC)Stadion FC Gullegem, Gullegem
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What was the result of Gullegem vs Knokke?
Gullegem and Knokke drew 0-0 on October 27, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gullegem have 7 wins, 3 draws and 5 defeats; Knokke have 9, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Oudenaarde(home) | 0-4 | Second Amateur Division - VFV A |
| Oct 12, 2019 | Mandel United(away) | 1-3 | Second Amateur Division - VFV A |
| Oct 6, 2019 | Temse(home) | 5-1 | Second Amateur Division - VFV A |
| Sep 28, 2019 | Dikkelvenne(away) | 1-1 | Second Amateur Division - VFV A |
| Sep 21, 2019 | Toekomst Menen(home) | 1-1 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Mandel United(home) | 2-1 | Second Amateur Division - VFV A |
| Oct 12, 2019 | Temse(away) | 1-2 | Second Amateur Division - VFV A |
| Oct 6, 2019 | Dikkelvenne(home) | 3-1 | Second Amateur Division - VFV A |
| Sep 28, 2019 | Toekomst Menen(away) | 4-1 | Second Amateur Division - VFV A |
| Sep 22, 2019 | Merelbeke(home) | 3-0 | Second Amateur Division - VFV A |
How many goals should we expect?
Gullegem score 1.6 and concede 1.5 goals per match over their last 15; Knokke score 2.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gullegem | 1.6 | 1.5 | 2 | 10/15 | 10/15 |
| Knokke | 2.4 | 0.8 | 4 | 8/12 | 9/12 |
Over the last 15 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 Knokke?
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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