Djoliba vs CSK: result 1-0 and analysis
Première DivisionRegular Season - 27Kick-off on July 25, 2012 at 04:00 PM (UTC)Stade Omnisports Modibo Keïta, Bamako
Full time
What was the result of Djoliba vs CSK?
Djoliba won 1-0 on July 25, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djoliba have 12 wins, 3 draws and 0 defeats; CSK have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2012 | Réal Bamako(away) | 1-0 | Première Division |
| Jul 17, 2012 | Sigui(home) | 3-0 | Première Division |
| Jul 5, 2012 | Onze Créateurs(away) | 2-1 | Première Division |
| Jun 24, 2012 | Duguwolofila(home) | 5-0 | Première Division |
| Jun 13, 2012 | Stade Malien Bamako(away) | 0-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2012 | Stade Malien Bamako(home) | 0-6 | Première Division |
| Jul 15, 2012 | Stade Malien Sikasso(away) | 1-0 | Première Division |
| Jul 3, 2012 | ASOM(home) | 0-0 | Première Division |
| Jun 25, 2012 | AS Bamako(away) | 1-0 | Première Division |
| Jun 9, 2012 | Sigui(home) | 0-0 | Première Division |
What does the head-to-head say?
In the last meeting: 0 Djoliba wins, 1 draw, 0 CSK wins.
| Date | Score | Competition |
|---|---|---|
| Feb 26, 2012 | Djoliba 1-1 CSK | Première Division |
How many goals should we expect?
Djoliba score 2.1 and concede 0.4 goals per match over their last 15; CSK score 0.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djoliba | 2.1 | 0.4 | 9 | 6/15 | 7/15 |
| CSK | 0.4 | 1.5 | 5 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Djoliba | 26 | 18 | 5 | 3 | 41 | 12 | 59 |
A question about Djoliba vs CSK?
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