Binche vs Braine: result 1-4 and analysis
Third Amateur Division - ACFF AACFF A - 14Kick-off on November 28, 2021 at 01:30 PM (UTC)Stade Aimé Vachaudez, Binche
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What was the result of Binche vs Braine?
Braine won 1-4 on November 28, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Binche have 9 wins, 3 draws and 3 defeats; Braine have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2021 | Albert Quévy-Mons(away) | 1-0 | Third Amateur Division - ACFF A |
| Nov 14, 2021 | Aische(home) | 3-0 | Third Amateur Division - ACFF A |
| Nov 6, 2021 | Jeunesse Tamines(away) | 0-2 | Third Amateur Division - ACFF A |
| Oct 31, 2021 | Tournai(home) | 1-0 | Third Amateur Division - ACFF A |
| Oct 24, 2021 | SG-Tertre-Hautrage(away) | 0-3 | Third Amateur Division - ACFF A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Entité Manageoise(home) | 1-2 | Third Amateur Division - ACFF A |
| Nov 14, 2021 | Rapid Symphorinois(away) | 1-4 | Third Amateur Division - ACFF A |
| Nov 7, 2021 | Gosselies Sports(home) | 1-1 | Third Amateur Division - ACFF A |
| Oct 31, 2021 | PAC Buzet(away) | 2-2 | Third Amateur Division - ACFF A |
| Oct 24, 2021 | Ostiches(home) | 3-4 | Third Amateur Division - ACFF A |
How many goals should we expect?
Binche score 1.9 and concede 1.1 goals per match over their last 15; Braine score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Binche | 1.9 | 1.1 | 8 | 5/15 | 8/15 |
| Braine | 1.7 | 2.3 | 1 | 13/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Braine | 26 | 18 | 7 | 1 | 64 | 27 | 61 |
A question about Binche vs Braine?
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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