USFAS Bamako vs Yeelen Olympique: result 1-2 and analysis
Première DivisionRegular Season - 11Kick-off on December 14, 2019 at 06:00 PM (UTC)Stade Omnisports Modibo Keïta, Bamako
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What was the result of USFAS Bamako vs Yeelen Olympique?
Yeelen Olympique won 1-2 on December 14, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, USFAS Bamako have 6 wins, 2 draws and 7 defeats; Yeelen Olympique have 4, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2019 | USC Kita(home) | 0-1 | Première Division |
| Dec 1, 2019 | Bougouni(away) | 3-0 | Première Division |
| Nov 17, 2019 | Stade Malien Bamako(away) | 0-3 | Première Division |
| Nov 4, 2019 | CSK(home) | 2-1 | Première Division |
| Oct 26, 2019 | Onze Créateurs(away) | 0-2 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2019 | Onze Créateurs(home) | 1-0 | Première Division |
| Dec 1, 2019 | USC Kita(away) | 1-2 | Première Division |
| Nov 24, 2019 | Sabana(home) | 2-0 | Première Division |
| Nov 17, 2019 | Bougouni(away) | 2-0 | Première Division |
| Nov 4, 2019 | ASOM(home) | 1-2 | Première Division |
How many goals should we expect?
USFAS Bamako score 1.2 and concede 1.1 goals per match over their last 15; Yeelen Olympique score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USFAS Bamako | 1.2 | 1.1 | 5 | 5/15 | 8/15 |
| Yeelen Olympique | 1.7 | 1.3 | 4 | 5/9 | 5/9 |
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 USFAS Bamako vs Yeelen Olympique?
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