Aische vs Braine: result 1-2 and analysis
Third Amateur Division - ACFF AACFF A - 2Kick-off on September 26, 2020 at 06:00 PM (UTC)Stade René Bertrand, Aische-en-Refail
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What was the result of Aische vs Braine?
Braine won 1-2 on September 26, 2020.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Aische have 3 wins, 0 draws and 2 defeats; Braine have 5, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2020 | SG-Tertre-Hautrage(away) | 1-0 | Third Amateur Division - ACFF A |
| Sep 6, 2020 | Couvin-Mariembourg(home) | 3-5 | Cup |
| Aug 30, 2020 | Hoeilaart(away) | 2-1 | Cup |
| Aug 4, 2019 | Raeren-Eynatten(away) | 1-4 | Cup |
| Jul 28, 2019 | Jehaytois(home) | 4-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2020 | Stade Brainois(home) | 1-1 | Third Amateur Division - ACFF A |
| Sep 19, 2020 | Jette(away) | 0-2 | Cup |
| Sep 13, 2020 | Zwarte Leeuw(home) | 2-0 | Cup |
| Sep 6, 2020 | Jodoigne(home) | 2-1 | Cup |
| Aug 30, 2020 | Bossière(home) | 3-0 | Cup |
How many goals should we expect?
Aische score 2.2 and concede 2.2 goals per match over their last 5; Braine score 1.6 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aische | 2.2 | 2.2 | 1 | 4/5 | 4/5 |
| Braine | 1.6 | 0.5 | 5 | 2/8 | 3/8 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Aische sit 12th in Third Amateur Division - ACFF A (22 points from 26 matches) and Braine sit 1st (61 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Braine | 26 | 18 | 7 | 1 | 64 | 27 | 61 |
| 12 | Aische | 26 | 5 | 7 | 14 | 23 | 48 | 22 |
A question about Aische 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