Rupel Boom vs Nijlen: result 4-1 and analysis
Second Amateur Division - VFV BVV B - 15Kick-off on December 7, 2025 at 01:00 PM (UTC)Gemeentelijk Parkstadion, Boom
Full time
What was the result of Rupel Boom vs Nijlen?
Rupel Boom won 4-1 on December 7, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rupel Boom have 8 wins, 3 draws and 4 defeats; Nijlen have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2025 | Rotselaar(away) | 3-3 | Second Amateur Division - VFV B |
| Nov 23, 2025 | Heist(home) | 1-4 | Second Amateur Division - VFV B |
| Nov 15, 2025 | Bocholt(away) | 3-2 | Second Amateur Division - VFV B |
| Nov 9, 2025 | Sint-Truiden II(home) | 2-1 | Second Amateur Division - VFV B |
| Nov 1, 2025 | Berchem Sport(away) | 1-0 | Second Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2025 | Cappellen(away) | 0-2 | Second Amateur Division - VFV B |
| Nov 22, 2025 | Sint-Truiden II(home) | 2-2 | Second Amateur Division - VFV B |
| Nov 15, 2025 | Racing Mechelen(away) | 2-1 | Second Amateur Division - VFV B |
| Nov 8, 2025 | Tongeren(home) | 1-1 | Second Amateur Division - VFV B |
| Nov 1, 2025 | Royal Antwerp II(away) | 3-3 | Second Amateur Division - VFV B |
How many goals should we expect?
Rupel Boom score 1.6 and concede 1.2 goals per match over their last 15; Nijlen score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rupel Boom | 1.6 | 1.2 | 6 | 7/15 | 8/15 |
| Nijlen | 1.5 | 1.3 | 3 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Rupel Boom | 30 | 19 | 8 | 3 | 53 | 20 | 65 |
A question about Rupel Boom vs Nijlen?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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