USFAS Bamako vs Duguwolofila: result 2-0 and analysis
Première DivisionRegular Season - 4Kick-off on January 25, 2013 at 04:00 PM (UTC)Stade Mamadou Konaté, Bamako
Full time
What was the result of USFAS Bamako vs Duguwolofila?
USFAS Bamako won 2-0 on January 25, 2013.
What is the recent form of both teams?
Over their last 6 matches in all competitions, USFAS Bamako have 0 wins, 2 draws and 4 defeats; Duguwolofila have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2013 | Stade Malien Bamako(home) | 0-1 | Première Division |
| Jan 16, 2013 | Nianan(home) | 0-1 | Première Division |
| Jan 7, 2013 | ASOM(away) | 0-1 | Première Division |
| Jan 4, 2013 | Atar Club(home) | 1-2 | Première Division |
| Dec 30, 2012 | Onze Créateurs(home) | 0-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 17, 2013 | Onze Créateurs(home) | 1-0 | Première Division |
| Jan 13, 2013 | Djoliba(away) | 0-0 | Première Division |
| Jan 6, 2013 | ASKO(home) | 1-0 | Première Division |
| Jan 2, 2013 | Stade Malien Bamako(home) | 0-3 | Première Division |
| Dec 29, 2012 | Nianan(away) | 0-2 | Première Division |
How many goals should we expect?
USFAS Bamako score 0.3 and concede 1.0 goals per match over their last 6; Duguwolofila score 0.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USFAS Bamako | 0.3 | 1.0 | 1 | 2/6 | 1/6 |
| Duguwolofila | 0.6 | 1.2 | 5 | 4/15 | 6/15 |
Over the last 6 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 Duguwolofila?
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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