Bocholt vs KFC Duffel: result 4-0 and analysis
Second Amateur Division - VFV BRegular Season - 6Kick-off on October 7, 2018 at 01:00 PM (UTC)Axor Arena, Bocholt
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What was the result of Bocholt vs KFC Duffel?
Bocholt won 4-0 on October 7, 2018.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Bocholt have 4 wins, 0 draws and 1 defeat; KFC Duffel have 1, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2018 | Spouwen-Mopertingen(away) | 4-0 | Second Amateur Division - VFV B |
| Sep 22, 2018 | Patro Eisden(home) | 1-0 | Second Amateur Division - VFV B |
| Sep 15, 2018 | Hades(away) | 1-4 | Second Amateur Division - VFV B |
| Sep 9, 2018 | Sint-Niklaas(home) | 2-1 | Second Amateur Division - VFV B |
| Sep 2, 2018 | Berchem Sport(away) | 3-1 | Second Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | Heur Tongeren(home) | 3-0 | Second Amateur Division - VFV B |
| Sep 23, 2018 | Temse(away) | 1-3 | Second Amateur Division - VFV B |
| Sep 16, 2018 | Vosselaar(home) | 2-2 | Second Amateur Division - VFV B |
| Sep 8, 2018 | Sporting Hasselt(away) | 0-2 | Second Amateur Division - VFV B |
| Sep 2, 2018 | Hoogstraten(home) | 0-0 | Second Amateur Division - VFV B |
How many goals should we expect?
Bocholt score 2.2 and concede 1.2 goals per match over their last 5; KFC Duffel score 1.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bocholt | 2.2 | 1.2 | 2 | 3/5 | 4/5 |
| KFC Duffel | 1.2 | 1.4 | 2 | 2/5 | 3/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Bocholt | 30 | 8 | 7 | 15 | 50 | 59 | 31 |
A question about Bocholt vs KFC Duffel?
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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