Rotselaar vs Rupel Boom: result 3-3 and analysis
Second Amateur Division - VFV BVV B - 14Kick-off on November 29, 2025 at 07:15 PM (UTC)Ter Heide Terrain 2, Rotselaar
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What was the result of Rotselaar vs Rupel Boom?
Rotselaar and Rupel Boom drew 3-3 on November 29, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rotselaar have 4 wins, 2 draws and 9 defeats; Rupel Boom have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2025 | Tongeren(away) | 1-0 | Second Amateur Division - VFV B |
| Nov 15, 2025 | Londerzeel(home) | 1-2 | Second Amateur Division - VFV B |
| Nov 8, 2025 | Wellen(away) | 1-2 | Second Amateur Division - VFV B |
| Nov 1, 2025 | Heist(home) | 1-5 | Second Amateur Division - VFV B |
| Oct 26, 2025 | Sint-Truiden II(away) | 2-1 | Second Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 26, 2025 | Hades(home) | 3-0 | Second Amateur Division - VFV B |
How many goals should we expect?
Rotselaar score 1.0 and concede 1.8 goals per match over their last 15; Rupel Boom score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rotselaar | 1.0 | 1.8 | 1 | 9/15 | 9/15 |
| Rupel Boom | 1.4 | 1.1 | 6 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Rupel Boom | 30 | 19 | 8 | 3 | 53 | 20 | 65 |
A question about Rotselaar vs Rupel Boom?
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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