ASOM vs Bougouni: result 0-1 and analysis
Première DivisionRegular Season - 18Kick-off on September 8, 2016 at 05:00 PM (UTC)Stade Omnisports Modibo Keïta, Bamako
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What was the result of ASOM vs Bougouni?
Bougouni won 0-1 on September 8, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASOM have 4 wins, 3 draws and 8 defeats; Bougouni have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | Stade Malien Bamako(away) | 0-0 | Première Division |
| Aug 23, 2016 | COB(away) | 2-0 | Première Division |
| Aug 15, 2016 | Duguwolofila(home) | 1-0 | Première Division |
| Jul 30, 2016 | Nianan(away) | 0-0 | Première Division |
| Jul 3, 2016 | Sabana(away) | 1-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | Duguwolofila(home) | 1-0 | Première Division |
| Aug 23, 2016 | Nianan(home) | 0-1 | Première Division |
| Aug 14, 2016 | LC Ba(away) | 0-2 | Première Division |
| Jul 3, 2016 | Stade Malien Bamako(home) | 0-1 | Première Division |
| Jun 26, 2016 | Onze Créateurs(home) | 0-2 | Première Division |
What does the head-to-head say?
In the last meeting: 0 ASOM wins, 0 draws, 1 Bougouni win.
| Date | Score | Competition |
|---|---|---|
| May 15, 2016 | Bougouni 1-0 ASOM | Première Division |
How many goals should we expect?
ASOM score 0.5 and concede 0.9 goals per match over their last 15; Bougouni score 0.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASOM | 0.5 | 0.9 | 6 | 2/15 | 2/15 |
| Bougouni | 0.8 | 1.3 | 4 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Bougouni | 26 | 4 | 4 | 18 | 12 | 43 | 16 |
A question about ASOM vs Bougouni?
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