USFAS Bamako vs Jeanne d’Arc de Bamako: result 1-0 and analysis
Première DivisionMatchday 14Kick-off on February 25, 2013 at 06:00 PM (UTC)Stade Mamadou Konaté, Bamako
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What was the result of USFAS Bamako vs Jeanne d’Arc de Bamako?
USFAS Bamako won 1-0 on February 25, 2013.
What is the recent form of both teams?
Over their last 13 matches in all competitions, USFAS Bamako have 2 wins, 4 draws and 7 defeats; Jeanne d’Arc de Bamako have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2013 | COB(home) | 2-3 | Première Division |
| Feb 17, 2013 | Bakaridjan(home) | 0-0 | Première Division |
| Feb 13, 2013 | Réal Bamako(away) | 1-3 | Première Division |
| Feb 8, 2013 | CSK(away) | 1-1 | Première Division |
| Feb 4, 2013 | AS Bamako(away) | 0-3 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2013 | CSK(home) | 0-1 | Première Division |
| Feb 7, 2013 | Bakaridjan(away) | 0-0 | Première Division |
| Feb 1, 2013 | Atar Club(home) | 0-1 | Première Division |
| Jan 22, 2013 | Nianan(home) | 2-1 | Première Division |
| Jan 17, 2013 | Réal Bamako(away) | 2-3 | Première Division |
How many goals should we expect?
USFAS Bamako score 0.8 and concede 1.3 goals per match over their last 13; Jeanne d’Arc de Bamako score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USFAS Bamako | 0.8 | 1.3 | 3 | 6/13 | 5/13 |
| Jeanne d’Arc de Bamako | 0.7 | 1.1 | 5 | 5/15 | 5/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | USFAS Bamako | 2 | 0 | 0 | 2 | 1 | 4 | 0 |
A question about USFAS Bamako vs Jeanne d’Arc de Bamako?
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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