Berlaar-Heikant vs Diest: result 0-0 and analysis
Third Amateur Division - VFV BVFV B - 11Kick-off on November 14, 2021 at 02:00 PM (UTC)Terrein FC Berlaar-Heikant, Berlaar
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What was the result of Berlaar-Heikant vs Diest?
Berlaar-Heikant and Diest drew 0-0 on November 14, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Berlaar-Heikant have 3 wins, 5 draws and 7 defeats; Diest 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 |
|---|---|---|---|
| Nov 6, 2021 | Zwarte Leeuw(away) | 1-1 | Third Amateur Division - VFV B |
| Oct 30, 2021 | De Kempen(home) | 0-1 | Third Amateur Division - VFV B |
| Oct 24, 2021 | Eendracht Termien(away) | 2-6 | Third Amateur Division - VFV B |
| Oct 17, 2021 | Witgoor Sport(home) | 0-0 | Third Amateur Division - VFV B |
| Oct 9, 2021 | Nijlen(away) | 0-1 | Third Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Racing Mechelen(home) | 0-1 | Third Amateur Division - VFV B |
| Oct 30, 2021 | Betekom(away) | 0-2 | Third Amateur Division - VFV B |
| Oct 24, 2021 | Lille(home) | 0-0 | Third Amateur Division - VFV B |
| Oct 16, 2021 | Wellen(away) | 3-1 | Third Amateur Division - VFV B |
| Oct 13, 2021 | Sint-Lenaarts(away) | 2-1 | Third Amateur Division - VFV B |
How many goals should we expect?
Berlaar-Heikant score 1.3 and concede 2.1 goals per match over their last 15; Diest score 1.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Berlaar-Heikant | 1.3 | 2.1 | 2 | 10/15 | 8/15 |
| Diest | 1.8 | 0.7 | 7 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Diest | 30 | 7 | 6 | 17 | 38 | 60 | 27 |
A question about Berlaar-Heikant vs Diest?
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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