Rupel Boom vs Wilrijk: prediction and stats
Second Amateur Division - VFV BVFV B - 8Kick-off on October 18, 2026 at 01:00 PM (UTC)Gemeentelijk Parkstadion, Boom
Probable lineup for Rupel Boom vs Wilrijk
Computed by Footlab AI from our own data only: recent lineups, squads and known absences. It does not take the press or last-minute absences into account.
Rupel Boom
Not enough data to predict the Rupel Boom lineup.
Wilrijk
Not enough data to predict the Wilrijk lineup.
Computed on October 18, 2026 at 12:07 PM (UTC).
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rupel Boom have 4 wins, 4 draws and 7 defeats; Wilrijk have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2026 | Tongeren(away) | 0-0 | Second Amateur Division - VFV B |
| Oct 4, 2026 | Sint-Truiden II(home) | 2-1 | Second Amateur Division - VFV B |
| Sep 30, 2026 | Rotselaar(away) | 1-3 | Second Amateur Division - VFV B |
| Sep 26, 2026 | Nijlen(away) | 1-3 | Cup |
| Sep 20, 2026 | De Kempen(home) | 1-3 | Second Amateur Division - VFV B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2026 | Diegem Sport(home) | 2-1 | Second Amateur Division - VFV B |
| Oct 4, 2026 | Eendracht Termien(away) | 3-2 | Second Amateur Division - VFV B |
| Sep 26, 2026 | Tempo Overijse(home) | 2-3 | Second Amateur Division - VFV B |
| Sep 19, 2026 | Cappellen(home) | 4-0 | Second Amateur Division - VFV B |
| Sep 12, 2026 | De Kempen(away) | 0-4 | Second Amateur Division - VFV B |
How many goals should we expect?
Rupel Boom score 1.2 and concede 1.9 goals per match over their last 15; Wilrijk score 2.6 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rupel Boom | 1.2 | 1.9 | 2 | 10/15 | 11/15 |
| Wilrijk | 2.6 | 2.3 | 3 | 10/15 | 15/15 |
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 |
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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