AS Bamako vs Mamahira: result 0-1 and analysis
Première DivisionRegular Season - 13Kick-off on June 16, 2017 at 04:30 PM (UTC)Stade Omnisports Modibo Keïta, Bamako
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What was the result of AS Bamako vs Mamahira?
Mamahira won 0-1 on June 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Bamako have 6 wins, 4 draws and 5 defeats; Mamahira have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2017 | LC Ba(away) | 0-2 | Première Division |
| May 29, 2017 | Black Stars(home) | 1-1 | Première Division |
| May 24, 2017 | Réal Bamako(away) | 1-0 | Première Division |
| May 21, 2017 | USC Kita(home) | 0-0 | Première Division |
| May 17, 2017 | Nianan(away) | 1-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2017 | Soni(home) | 1-0 | Première Division |
| May 28, 2017 | Bakaridjan(away) | 0-1 | Première Division |
| May 24, 2017 | Djoliba(away) | 1-2 | Première Division |
| May 21, 2017 | Nianan(home) | 2-2 | Première Division |
| May 17, 2017 | CSK(away) | 3-0 | Première Division |
What does the head-to-head say?
Across the last 4 meetings: 0 AS Bamako wins, 1 draw, 3 Mamahira wins.
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2016 | AS Bamako 1-3 Mamahira | Première Division |
| May 15, 2016 | Mamahira 0-0 AS Bamako | Première Division |
| Aug 22, 2015 | Mamahira 2-0 AS Bamako | Première Division |
| May 6, 2015 | AS Bamako 0-2 Mamahira | Première Division |
How many goals should we expect?
AS Bamako score 0.8 and concede 0.9 goals per match over their last 15; Mamahira score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Bamako | 0.8 | 0.9 | 7 | 6/15 | 4/15 |
| Mamahira | 1.0 | 1.1 | 5 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about AS Bamako vs Mamahira?
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