RUS Binche vs Tournai: result 2-1 and analysis
Second Amateur Division - ACFFACFF - 10Kick-off on October 29, 2023 at 02:00 PM (UTC)Stade Aimé Vachaudez, Binche
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What was the result of RUS Binche vs Tournai?
RUS Binche won 2-1 on October 29, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, RUS Binche have 7 wins, 4 draws and 4 defeats; Tournai have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2023 | Acren-Lessines(away) | 3-1 | Second Amateur Division - ACFF |
| Oct 15, 2023 | Verlaine(home) | 3-2 | Second Amateur Division - ACFF |
| Oct 8, 2023 | Union Saint-Gilloise II(home) | 3-2 | Second Amateur Division - ACFF |
| Sep 30, 2023 | Jette(away) | 1-0 | Second Amateur Division - ACFF |
| Sep 24, 2023 | Rebecq(home) | 0-0 | Second Amateur Division - ACFF |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2023 | Meux(home) | 2-0 | Second Amateur Division - ACFF |
| Oct 14, 2023 | La Calamine(away) | 1-1 | Second Amateur Division - ACFF |
| Oct 7, 2023 | Stockay-Warfusée(home) | 2-1 | Second Amateur Division - ACFF |
| Sep 30, 2023 | Ganshoren(home) | 4-3 | Second Amateur Division - ACFF |
| Sep 24, 2023 | Acren-Lessines(away) | 3-3 | Second Amateur Division - ACFF |
How many goals should we expect?
RUS Binche score 2.1 and concede 1.3 goals per match over their last 15; Tournai score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RUS Binche | 2.1 | 1.3 | 4 | 9/15 | 10/15 |
| Tournai | 2.0 | 1.3 | 5 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | RUS Binche | 10 | 3 | 4 | 3 | 18 | 21 | 13 |
A question about RUS Binche vs Tournai?
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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