Rupel Boom vs De Kempen: result 1-3 and analysis
Second Amateur Division - VFV BVFV B - 4Kick-off on September 20, 2026 at 01:00 PM (UTC)Gemeentelijk Parkstadion, Boom
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What was the result of Rupel Boom vs De Kempen?
De Kempen won 1-3 on September 20, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rupel Boom have 6 wins, 4 draws and 5 defeats; De Kempen have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2026 | Cappellen(away) | 2-1 | Second Amateur Division - VFV B |
| Sep 6, 2026 | Racing Mechelen(home) | 0-0 | Second Amateur Division - VFV B |
| Aug 30, 2026 | Eendracht Termien(away) | 0-4 | Second Amateur Division - VFV B |
| Jul 4, 2026 | KV Mechelen(away) | 0-3 | Friendlies Clubs |
| May 14, 2026 | Zulte Waregem II(away) | 2-1 | Second Amateur Division - Play-offs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2026 | Wilrijk(home) | 4-0 | Second Amateur Division - VFV B |
| Sep 5, 2026 | Sint-Truiden II(home) | 0-0 | Second Amateur Division - VFV B |
| Aug 29, 2026 | Cappellen(away) | 3-3 | Second Amateur Division - VFV B |
| Aug 9, 2025 | Rotselaar(home) | 1-3 | Cup |
| Aug 3, 2025 | Noordstar Noorderwijk(home) | 6-0 | Cup |
How many goals should we expect?
Rupel Boom score 1.4 and concede 1.6 goals per match over their last 15; De Kempen score 2.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rupel Boom | 1.4 | 1.6 | 3 | 9/15 | 10/15 |
| De Kempen | 2.3 | 1.7 | 7 | 8/15 | 11/15 |
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 De Kempen?
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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