Mamahira vs USC Kita: result 0-0 and analysis
Première DivisionMatchday 17Kick-off on August 27, 2016 at 06:00 PM (UTC)Stade Mamadou Konaté, Bamako
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What was the result of Mamahira vs USC Kita?
Mamahira and USC Kita drew 0-0 on August 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mamahira have 3 wins, 4 draws and 8 defeats; USC Kita have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2016 | Réal Bamako(away) | 0-1 | Première Division |
| Aug 14, 2016 | CSK(home) | 5-0 | Première Division |
| Aug 5, 2016 | Bakaridjan(away) | 0-1 | Première Division |
| Jul 3, 2016 | Debo(home) | 1-1 | Première Division |
| Jun 24, 2016 | USFAS Bamako(away) | 3-1 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2016 | Police(home) | 1-0 | Première Division |
| Aug 15, 2016 | AS Bamako(away) | 0-1 | Première Division |
| Jul 30, 2016 | Djoliba(away) | 2-2 | Première Division |
| Jul 3, 2016 | Réal Bamako(home) | 3-0 | Première Division |
| Jun 24, 2016 | CSK(away) | 0-1 | Première Division |
What does the head-to-head say?
In the last meeting: 0 Mamahira wins, 0 draws, 1 USC Kita win.
| Date | Score | Competition |
|---|---|---|
| May 8, 2016 | Mamahira 0-1 USC Kita | Première Division |
How many goals should we expect?
Mamahira score 0.8 and concede 0.9 goals per match over their last 15; USC Kita score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mamahira | 0.8 | 0.9 | 5 | 3/15 | 4/15 |
| USC Kita | 0.9 | 0.8 | 6 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
A question about Mamahira vs USC Kita?
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