Richelle United vs Flénu: result 2-0 and analysis
Second Amateur Division - ACFFACFF - 12Kick-off on November 9, 2025 at 02:00 PM (UTC)Stade de la Cité de l'Oie, Visé
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What was the result of Richelle United vs Flénu?
Richelle United won 2-0 on November 9, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Richelle United have 7 wins, 0 draws and 8 defeats; Flénu have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2025 | Huy(away) | 1-2 | Second Amateur Division - ACFF |
| Oct 26, 2025 | Raeren-Eynatten(home) | 0-2 | Second Amateur Division - ACFF |
| Oct 19, 2025 | Entité Manageoise(away) | 0-1 | Second Amateur Division - ACFF |
| Oct 12, 2025 | Sporting Bruxelles(home) | 2-0 | Second Amateur Division - ACFF |
| Oct 4, 2025 | Braine(away) | 0-2 | Second Amateur Division - ACFF |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2025 | La Calamine(home) | 4-0 | Second Amateur Division - ACFF |
| Oct 26, 2025 | Sporting Bruxelles(home) | 2-1 | Second Amateur Division - ACFF |
| Oct 19, 2025 | Acren-Lessines(away) | 2-1 | Second Amateur Division - ACFF |
| Oct 12, 2025 | RUS Binche(away) | 1-2 | Second Amateur Division - ACFF |
| Oct 4, 2025 | Stade Verviers(home) | 2-2 | Second Amateur Division - ACFF |
How many goals should we expect?
Richelle United score 2.0 and concede 1.5 goals per match over their last 15; Flénu score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Richelle United | 2.0 | 1.5 | 4 | 6/15 | 10/15 |
| Flénu | 2.1 | 1.3 | 3 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Richelle United | 1 | 0 | 0 | 1 | 0 | 2 | 0 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy