Knokke vs Dikkelvenne: result 3-1 and analysis
Second Amateur Division - VFV AVFV A - 6Kick-off on October 6, 2019 at 01:00 PM (UTC)Stadion Olivier, Knokke-Heist
Full time
What was the result of Knokke vs Dikkelvenne?
Knokke won 3-1 on October 6, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Knokke have 7 wins, 1 draw and 1 defeat; Dikkelvenne have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 15, 2019 | Voorwaarts Zwevezele(away) | 1-1 | Second Amateur Division - VFV A |
| Sep 8, 2019 | Sint-Niklaas(home) | 2-1 | Second Amateur Division - VFV A |
| Sep 1, 2019 | Westhoek(away) | 4-1 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Gullegem(home) | 1-1 | Second Amateur Division - VFV A |
| Sep 21, 2019 | Mandel United(away) | 1-1 | Second Amateur Division - VFV A |
| Sep 14, 2019 | Temse(home) | 1-1 | Second Amateur Division - VFV A |
| Sep 7, 2019 | Oudenaarde(home) | 0-1 | Second Amateur Division - VFV A |
| Sep 1, 2019 | Toekomst Menen(away) | 2-1 | Second Amateur Division - VFV A |
How many goals should we expect?
Knokke score 2.6 and concede 0.7 goals per match over their last 9; Dikkelvenne score 2.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Knokke | 2.6 | 0.7 | 4 | 5/9 | 6/9 |
| Dikkelvenne | 2.0 | 1.2 | 4 | 10/15 | 9/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Dikkelvenne | 30 | 13 | 10 | 7 | 56 | 38 | 49 |
A question about Knokke 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