Tilffois vs RUS Binche: result 2-0 and analysis
Second Amateur Division - ACFFACFF - 7Kick-off on October 5, 2025 at 01:00 PM (UTC)Stade H.Colley-Sainval Terrein 2, Tilff
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What was the result of Tilffois vs RUS Binche?
Tilffois won 2-0 on October 5, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tilffois have 6 wins, 5 draws and 4 defeats; RUS Binche have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2025 | Aywaille(away) | 3-2 | Second Amateur Division - ACFF |
| Sep 21, 2025 | Richelle United(home) | 1-4 | Second Amateur Division - ACFF |
| Sep 14, 2025 | Acren-Lessines(away) | 2-1 | Second Amateur Division - ACFF |
| Sep 7, 2025 | Ganshoren(home) | 1-1 | Second Amateur Division - ACFF |
| Aug 31, 2025 | Stade Verviers(home) | 1-2 | Second Amateur Division - ACFF |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2025 | Onhaye(away) | 1-2 | Second Amateur Division - ACFF |
| Sep 21, 2025 | Huy(home) | 0-0 | Second Amateur Division - ACFF |
| Sep 13, 2025 | Tournai(away) | 4-1 | Second Amateur Division - ACFF |
| Sep 7, 2025 | Aywaille(home) | 1-2 | Second Amateur Division - ACFF |
| Aug 30, 2025 | Acren-Lessines(away) | 1-3 | Second Amateur Division - ACFF |
How many goals should we expect?
Tilffois score 1.7 and concede 1.7 goals per match over their last 15; RUS Binche score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tilffois | 1.7 | 1.7 | 3 | 11/15 | 10/15 |
| RUS Binche | 1.3 | 1.2 | 4 | 10/15 | 8/15 |
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 | RUS Binche | 8 | 3 | 3 | 2 | 15 | 17 | 12 |
A question about Tilffois vs RUS Binche?
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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