Mamahira vs Sabana: result 1-1 and analysis
Première DivisionRegular Season - 22Kick-off on July 29, 2015 at 04:00 PM (UTC)Stade Mamadou Diarra H. de Koulikoro, Koulikoro
Full time
What was the result of Mamahira vs Sabana?
Mamahira and Sabana drew 1-1 on July 29, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mamahira have 3 wins, 5 draws and 7 defeats; Sabana have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2015 | Onze Créateurs(away) | 0-4 | Première Division |
| Jul 14, 2015 | USFAS Bamako(home) | 1-1 | Première Division |
| Jun 9, 2015 | Duguwolofila(home) | 0-2 | Première Division |
| Jun 5, 2015 | ASOM(away) | 0-0 | Première Division |
| May 28, 2015 | Bakaridjan(home) | 0-5 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2015 | Duguwolofila(home) | 0-2 | Première Division |
| Jul 13, 2015 | ASOM(home) | 2-0 | Première Division |
| Jun 8, 2015 | Bakaridjan(home) | 1-2 | Première Division |
| Jun 1, 2015 | Nianan(home) | 0-1 | Première Division |
| May 27, 2015 | Police(away) | 2-3 | Première Division |
What does the head-to-head say?
In the last meeting: 1 Mamahira win, 0 draws, 0 Sabana wins.
| Date | Score | Competition |
|---|---|---|
| Jan 11, 2015 | Sabana 0-1 Mamahira | Première Division |
How many goals should we expect?
Mamahira score 0.8 and concede 1.5 goals per match over their last 15; Sabana score 0.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mamahira | 0.8 | 1.5 | 6 | 3/15 | 6/15 |
| Sabana | 0.6 | 1.4 | 5 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Mamahira vs Sabana?
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