Soni vs USFAS Bamako: result 1-0 and analysis
Première DivisionRegular Season - 19Kick-off on September 24, 2017 at 04:00 PM (UTC)Stade Kassé Keïta, Gao
Full time
What was the result of Soni vs USFAS Bamako?
Soni won 1-0 on September 24, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Soni have 1 win, 2 draws and 12 defeats; USFAS Bamako have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Black Stars(home) | 1-3 | Première Division |
| Jul 29, 2017 | Djoliba(home) | 0-5 | Première Division |
| Jul 23, 2017 | Duguwolofila(home) | 2-3 | Première Division |
| Jul 10, 2017 | AS Bamako(away) | 0-4 | Première Division |
| Jun 22, 2017 | Bakaridjan(home) | 1-2 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 2, 2017 | ASOM(away) | 1-0 | Première Division |
| Jul 29, 2017 | CSK(home) | 1-2 | Première Division |
| Jul 26, 2017 | AS Bamako(home) | 2-0 | Première Division |
| Jul 9, 2017 | Black Stars(away) | 3-1 | Première Division |
| Jun 21, 2017 | COB(home) | 1-0 | Première Division |
What does the head-to-head say?
In the last meeting: 0 Soni wins, 0 draws, 1 USFAS Bamako win.
| Date | Score | Competition |
|---|---|---|
| Feb 10, 2017 | USFAS Bamako 1-0 Soni | Première Division |
How many goals should we expect?
Soni score 0.5 and concede 2.7 goals per match over their last 15; USFAS Bamako score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Soni | 0.5 | 2.7 | 1 | 5/15 | 10/15 |
| USFAS Bamako | 0.9 | 0.7 | 7 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | USFAS Bamako | 26 | 12 | 6 | 8 | 37 | 27 | 42 |
A question about Soni vs USFAS Bamako?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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