USFAS Bamako vs CSK: result 1-0 and analysis
Première DivisionRegular Season - 27Kick-off on June 22, 2013 at 07:00 PM (UTC)Stade Mamadou Konaté, Bamako
Full time
What was the result of USFAS Bamako vs CSK?
USFAS Bamako won 1-0 on June 22, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, USFAS Bamako have 4 wins, 5 draws and 6 defeats; CSK have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2013 | AS Bamako(home) | 2-1 | Première Division |
| Jun 8, 2013 | Nianan(away) | 1-2 | Première Division |
| Jun 1, 2013 | COB(away) | 1-1 | Première Division |
| May 21, 2013 | ASOM(home) | 1-1 | Première Division |
| May 1, 2013 | Atar Club(away) | 1-1 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2013 | Duguwolofila(away) | 1-1 | Première Division |
| Jun 10, 2013 | COB(home) | 3-1 | Première Division |
| May 31, 2013 | Nianan(home) | 0-1 | Première Division |
| May 23, 2013 | Atar Club(away) | 4-0 | Première Division |
| May 6, 2013 | ASOM(home) | 2-0 | Première Division |
What does the head-to-head say?
In the last meeting: 0 USFAS Bamako wins, 1 draw, 0 CSK wins.
| Date | Score | Competition |
|---|---|---|
| Feb 8, 2013 | CSK 1-1 USFAS Bamako | Première Division |
How many goals should we expect?
USFAS Bamako score 1.1 and concede 1.1 goals per match over their last 15; CSK score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USFAS Bamako | 1.1 | 1.1 | 4 | 8/15 | 6/15 |
| CSK | 1.0 | 1.1 | 6 | 4/15 | 4/15 |
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 USFAS Bamako vs CSK?
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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