AS Bamako vs Sabana: result 3-0 and analysis
Première DivisionRegular Season - 26Kick-off on September 5, 2015 at 06:00 PM (UTC)Stade 26 Mars, Bamako
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What was the result of AS Bamako vs Sabana?
AS Bamako won 3-0 on September 5, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Bamako have 2 wins, 2 draws and 11 defeats; Sabana have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2015 | Onze Créateurs(home) | 0-1 | Première Division |
| Aug 22, 2015 | Mamahira(away) | 0-2 | Première Division |
| Aug 19, 2015 | Duguwolofila(home) | 1-1 | Première Division |
| Jul 31, 2015 | ASOM(away) | 3-0 | Première Division |
| Jul 21, 2015 | Bakaridjan(away) | 0-1 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2015 | Stade Malien Bamako(home) | 0-2 | Première Division |
| Aug 12, 2015 | USFAS Bamako(away) | 1-3 | Première Division |
| Aug 8, 2015 | Onze Créateurs(away) | 0-3 | Première Division |
| Jul 29, 2015 | Mamahira(away) | 1-1 | Première Division |
| Jul 21, 2015 | Duguwolofila(home) | 0-2 | Première Division |
What does the head-to-head say?
In the last meeting: 0 AS Bamako wins, 0 draws, 1 Sabana win.
| Date | Score | Competition |
|---|---|---|
| Mar 8, 2015 | Sabana 2-0 AS Bamako | Première Division |
How many goals should we expect?
AS Bamako score 0.4 and concede 1.3 goals per match over their last 15; Sabana score 0.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Bamako | 0.4 | 1.3 | 3 | 2/15 | 2/15 |
| Sabana | 0.7 | 1.6 | 4 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about AS Bamako vs Sabana?
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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