Berg en Dal vs Royal Antwerp II: result 0-3 and analysis
Second Amateur Division - VFV BVV B - 11Kick-off on November 9, 2025 at 01:30 PM (UTC)B.R.I.S. Stadion, Meerhout
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What was the result of Berg en Dal vs Royal Antwerp II?
Royal Antwerp II won 0-3 on November 9, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Berg en Dal have 4 wins, 3 draws and 8 defeats; Royal Antwerp II have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2025 | Eendracht Termien(home) | 4-2 | Second Amateur Division - VFV B |
| Oct 25, 2025 | Nijlen(away) | 2-2 | Second Amateur Division - VFV B |
| Oct 19, 2025 | Racing Mechelen(home) | 1-3 | Second Amateur Division - VFV B |
| Oct 11, 2025 | Tongeren(away) | 0-0 | Second Amateur Division - VFV B |
| Oct 4, 2025 | Wellen(away) | 1-2 | Second Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2025 | Nijlen(home) | 3-3 | Second Amateur Division - VFV B |
| Oct 25, 2025 | Heist(away) | 1-0 | Second Amateur Division - VFV B |
| Oct 18, 2025 | Tongeren(home) | 1-1 | Second Amateur Division - VFV B |
| Oct 11, 2025 | Rotselaar(away) | 1-0 | Second Amateur Division - VFV B |
| Oct 4, 2025 | Cappellen(away) | 3-0 | Second Amateur Division - VFV B |
How many goals should we expect?
Berg en Dal score 1.5 and concede 2.0 goals per match over their last 15; Royal Antwerp II score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Berg en Dal | 1.5 | 2.0 | 2 | 11/15 | 12/15 |
| Royal Antwerp II | 1.5 | 1.3 | 6 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Berg en Dal | 30 | 12 | 5 | 13 | 42 | 48 | 41 |
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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