Djoliba vs Mamahira: result 3-0 and analysis
Première DivisionRegular Season - 11Kick-off on June 18, 2016 at 04:30 PM (UTC)Stade Omnisports Modibo Keïta, Bamako
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What was the result of Djoliba vs Mamahira?
Djoliba won 3-0 on June 18, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djoliba have 6 wins, 8 draws and 1 defeat; Mamahira have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2016 | CSK(away) | 5-0 | Première Division |
| May 15, 2016 | Police(away) | 0-0 | Première Division |
| May 9, 2016 | Bakaridjan(home) | 1-0 | Première Division |
| May 1, 2016 | AS Bamako(away) | 0-0 | Première Division |
| Apr 24, 2016 | Debo(home) | 2-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2016 | Police(home) | 0-0 | Première Division |
| May 15, 2016 | AS Bamako(home) | 0-0 | Première Division |
| May 8, 2016 | USC Kita(home) | 0-1 | Première Division |
| May 1, 2016 | Réal Bamako(home) | 0-1 | Première Division |
| Apr 23, 2016 | CSK(away) | 2-0 | Première Division |
What does the head-to-head say?
In the last meeting: 0 Djoliba wins, 1 draw, 0 Mamahira wins.
| Date | Score | Competition |
|---|---|---|
| Mar 20, 2016 | Mamahira 0-0 Djoliba | Première Division |
How many goals should we expect?
Djoliba score 1.0 and concede 0.3 goals per match over their last 15; Mamahira score 0.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djoliba | 1.0 | 0.3 | 10 | 4/15 | 3/15 |
| Mamahira | 0.5 | 0.9 | 7 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Djoliba | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about Djoliba vs Mamahira?
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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