Rochefort vs RUS Binche: result 1-2 and analysis
Second Amateur Division - ACFFACFF - 13Kick-off on November 18, 2023 at 07:00 PM (UTC)Parc des Roches, Rochefort
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What was the result of Rochefort vs RUS Binche?
RUS Binche won 1-2 on November 18, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rochefort have 10 wins, 1 draw and 4 defeats; RUS Binche have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2023 | Tubize(away) | 1-0 | Second Amateur Division - ACFF |
| Nov 4, 2023 | La Louvière Centre(home) | 2-0 | Second Amateur Division - ACFF |
| Oct 28, 2023 | Meux(away) | 4-1 | Second Amateur Division - ACFF |
| Oct 21, 2023 | Jette(home) | 5-1 | Second Amateur Division - ACFF |
| Oct 15, 2023 | Union Saint-Gilloise II(away) | 4-3 | Second Amateur Division - ACFF |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2023 | Stockay-Warfusée(home) | 2-2 | Second Amateur Division - ACFF |
| Nov 4, 2023 | Stade Verviers(away) | 2-1 | Second Amateur Division - ACFF |
| Oct 29, 2023 | Tournai(home) | 2-1 | Second Amateur Division - ACFF |
| Oct 22, 2023 | Acren-Lessines(away) | 3-1 | Second Amateur Division - ACFF |
| Oct 15, 2023 | Verlaine(home) | 3-2 | Second Amateur Division - ACFF |
How many goals should we expect?
Rochefort score 2.5 and concede 1.3 goals per match over their last 15; RUS Binche score 2.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rochefort | 2.5 | 1.3 | 6 | 8/15 | 9/15 |
| RUS Binche | 2.4 | 1.2 | 3 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | RUS Binche | 8 | 3 | 3 | 2 | 15 | 17 | 12 |
A question about Rochefort 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