Sabana vs Bougouni: result 0-3 and analysis
Première DivisionRegular Season - 10Kick-off on June 12, 2016 at 01:00 PM (UTC)Stade Baréma Bocoum, Mopti
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What was the result of Sabana vs Bougouni?
Bougouni won 0-3 on June 12, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sabana have 2 wins, 4 draws and 9 defeats; Bougouni have 2, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Duguwolofila(home) | 0-0 | Première Division |
| May 7, 2016 | Nianan(away) | 0-1 | Première Division |
| Apr 30, 2016 | LC Ba(home) | 0-2 | Première Division |
| Apr 17, 2016 | Onze Créateurs(home) | 0-1 | Première Division |
| Apr 12, 2016 | ASOM(away) | 1-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2016 | ASOM(home) | 1-0 | Première Division |
| May 7, 2016 | Duguwolofila(away) | 0-2 | Première Division |
| May 1, 2016 | Nianan(away) | 4-1 | Première Division |
| Apr 23, 2016 | LC Ba(home) | 1-1 | Première Division |
| Apr 12, 2016 | Stade Malien Bamako(away) | 0-2 | Première Division |
What does the head-to-head say?
In the last meeting: 0 Sabana wins, 1 draw, 0 Bougouni wins.
| Date | Score | Competition |
|---|---|---|
| Mar 12, 2016 | Bougouni 0-0 Sabana | Première Division |
How many goals should we expect?
Sabana score 0.6 and concede 1.5 goals per match over their last 15; Bougouni score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabana | 0.6 | 1.5 | 4 | 4/15 | 5/15 |
| Bougouni | 1.0 | 1.4 | 2 | 4/8 | 3/8 |
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 Sabana vs Bougouni?
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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