ASOM vs Djoliba: result 0-2 and analysis
Première DivisionRegular Season - 20Kick-off on May 26, 2012 at 05:00 PM (UTC)Stade Omnisports Modibo Keïta, Bamako
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What was the result of ASOM vs Djoliba?
Djoliba won 0-2 on May 26, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASOM have 5 wins, 4 draws and 6 defeats; Djoliba have 10, 5 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | Jeanne d’Arc de Bamako(away) | 0-0 | Première Division |
| Apr 22, 2012 | Stade Malien Sikasso(away) | 1-0 | Première Division |
| Apr 17, 2012 | Stade Malien Bamako(home) | 0-5 | Première Division |
| Apr 4, 2012 | AS Bamako(away) | 2-1 | Première Division |
| Mar 31, 2012 | Sigui(away) | 0-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | AS Bamako(home) | 1-1 | Première Division |
| Apr 21, 2012 | Police(away) | 1-0 | Première Division |
| Apr 15, 2012 | COB(home) | 2-0 | Première Division |
| Apr 11, 2012 | Jeanne d’Arc de Bamako(home) | 3-0 | Première Division |
| Mar 18, 2012 | Nianan(home) | 4-1 | Première Division |
What does the head-to-head say?
In the last meeting: 0 ASOM wins, 1 draw, 0 Djoliba wins.
| Date | Score | Competition |
|---|---|---|
| Jan 4, 2012 | Djoliba 0-0 ASOM | Première Division |
How many goals should we expect?
ASOM score 1.1 and concede 1.2 goals per match over their last 15; Djoliba score 1.5 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASOM | 1.1 | 1.2 | 6 | 4/15 | 7/15 |
| Djoliba | 1.5 | 0.3 | 10 | 5/15 | 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 ASOM vs Djoliba?
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