Mamahira vs Nianan: result 1-0 and analysis
Première DivisionRegular Season - 4Kick-off on September 26, 2019 at 03:45 PM (UTC)Stade Mamadou Konaté, Bamako
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What was the result of Mamahira vs Nianan?
Mamahira won 1-0 on September 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mamahira have 2 wins, 5 draws and 8 defeats; Nianan have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2019 | Performance(away) | 2-2 | Première Division |
| Aug 25, 2019 | Police(home) | 0-1 | Première Division |
| Aug 17, 2019 | Réal Bamako(away) | 0-1 | Première Division |
| Nov 8, 2017 | Onze Créateurs(away) | 2-2 | Première Division |
| Sep 22, 2017 | Réal Bamako(away) | 1-2 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2019 | LC Ba(home) | 1-1 | Première Division |
| Aug 25, 2019 | Djoliba(away) | 0-3 | Première Division |
| Aug 18, 2019 | Duguwolofila(home) | 0-2 | Première Division |
| Nov 4, 2017 | USFAS Bamako(home) | 2-0 | Première Division |
| Sep 23, 2017 | LC Ba(away) | 1-4 | Première Division |
What does the head-to-head say?
Across the last 3 meetings: 1 Mamahira win, 1 draw, 1 Nianan win.
| Date | Score | Competition |
|---|---|---|
| May 21, 2017 | Mamahira 2-2 Nianan | Première Division |
| May 24, 2015 | Nianan 2-1 Mamahira | Première Division |
| Mar 14, 2015 | Mamahira 5-0 Nianan | Première Division |
How many goals should we expect?
Mamahira score 0.9 and concede 1.6 goals per match over their last 15; Nianan score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mamahira | 0.9 | 1.6 | 3 | 9/15 | 8/15 |
| Nianan | 1.3 | 2.3 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Mamahira vs Nianan?
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