Berlaar-Heikant vs Turnhout: result 2-2 and analysis
Third Amateur Division - VFV BVFV B - 5Kick-off on October 3, 2021 at 01:00 PM (UTC)Terrein FC Berlaar-Heikant, Berlaar
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What was the result of Berlaar-Heikant vs Turnhout?
Berlaar-Heikant and Turnhout drew 2-2 on October 3, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Berlaar-Heikant have 4 wins, 5 draws and 6 defeats; Turnhout have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Beringen(away) | 1-3 | Third Amateur Division - VFV B |
| Sep 18, 2021 | Esperanza Pelt(home) | 3-1 | Third Amateur Division - VFV B |
| Sep 12, 2021 | Sint-Lenaarts(home) | 2-3 | Third Amateur Division - VFV B |
| Sep 4, 2021 | Racing Mechelen(away) | 1-5 | Third Amateur Division - VFV B |
| Aug 7, 2021 | Ninove(away) | 0-4 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Racing Mechelen(home) | 2-0 | Third Amateur Division - VFV B |
| Sep 18, 2021 | Betekom(away) | 2-2 | Third Amateur Division - VFV B |
| Sep 11, 2021 | Lille(home) | 0-2 | Third Amateur Division - VFV B |
| Sep 4, 2021 | Wellen(away) | 1-0 | Third Amateur Division - VFV B |
| Aug 8, 2021 | Elene-Grotenberge(away) | 0-1 | Cup |
How many goals should we expect?
Berlaar-Heikant score 1.5 and concede 2.1 goals per match over their last 15; Turnhout score 1.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Berlaar-Heikant | 1.5 | 2.1 | 1 | 12/15 | 9/15 |
| Turnhout | 1.9 | 1.6 | 4 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Turnhout | 30 | 10 | 6 | 14 | 47 | 48 | 36 |
A question about Berlaar-Heikant vs Turnhout?
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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