Bakaridjan vs ASOM: result 0-1 and analysis
Première DivisionRegular Season - 23Kick-off on June 24, 2012 at 05:00 PM (UTC)Stade Amary Daou, Ségou
Full time
What was the result of Bakaridjan vs ASOM?
ASOM won 0-1 on June 24, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bakaridjan have 7 wins, 5 draws and 3 defeats; ASOM have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2012 | Réal Bamako(away) | 1-0 | Première Division |
| Jun 2, 2012 | Sigui(away) | 1-2 | Première Division |
| May 26, 2012 | Duguwolofila(home) | 4-1 | Première Division |
| May 1, 2012 | Onze Créateurs(home) | 2-0 | Première Division |
| Apr 23, 2012 | ASKO(away) | 0-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2012 | COB(home) | 0-0 | Première Division |
| Jun 2, 2012 | Police(away) | 2-1 | Première Division |
| May 26, 2012 | Djoliba(home) | 0-2 | Première Division |
| May 5, 2012 | Jeanne d’Arc de Bamako(away) | 0-0 | Première Division |
| Apr 22, 2012 | Stade Malien Sikasso(away) | 1-0 | Première Division |
What does the head-to-head say?
In the last meeting: 1 Bakaridjan win, 0 draws, 0 ASOM wins.
| Date | Score | Competition |
|---|---|---|
| Jan 20, 2012 | ASOM 1-2 Bakaridjan | Première Division |
How many goals should we expect?
Bakaridjan score 1.1 and concede 0.7 goals per match over their last 15; ASOM score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bakaridjan | 1.1 | 0.7 | 9 | 6/15 | 5/15 |
| ASOM | 0.9 | 1.3 | 5 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Bakaridjan | 26 | 6 | 9 | 11 | 20 | 27 | 27 |
A question about Bakaridjan vs ASOM?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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