Stade Malien Sikasso vs Bakaridjan: result 0-1 and analysis
Première DivisionRegular Season - 11Kick-off on February 19, 2012 at 06:00 PM (UTC)
Full time
What was the result of Stade Malien Sikasso vs Bakaridjan?
Bakaridjan won 0-1 on February 19, 2012.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Stade Malien Sikasso have 2 wins, 3 draws and 5 defeats; Bakaridjan have 5, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2012 | Nianan(home) | 2-0 | Première Division |
| Feb 9, 2012 | CSK(away) | 0-0 | Première Division |
| Jan 19, 2012 | ASKO(away) | 1-0 | Première Division |
| Jan 15, 2012 | Jeanne d’Arc de Bamako(home) | 0-2 | Première Division |
| Jan 7, 2012 | Djoliba(home) | 0-1 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2012 | Stade Malien Bamako(home) | 0-0 | Première Division |
| Feb 4, 2012 | AS Bamako(away) | 1-3 | Première Division |
| Jan 20, 2012 | ASOM(away) | 2-1 | Première Division |
| Jan 12, 2012 | Réal Bamako(home) | 1-0 | Première Division |
| Jan 8, 2012 | Sigui(home) | 1-0 | Première Division |
How many goals should we expect?
Stade Malien Sikasso score 0.6 and concede 1.5 goals per match over their last 10; Bakaridjan score 0.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stade Malien Sikasso | 0.6 | 1.5 | 3 | 2/10 | 4/10 |
| Bakaridjan | 0.8 | 0.6 | 6 | 2/10 | 2/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Bakaridjan | 26 | 6 | 9 | 11 | 20 | 27 | 27 |
A question about Stade Malien Sikasso vs Bakaridjan?
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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