AS Bamako vs USC Kita: result 0-0 and analysis
Première DivisionRegular Season - 9Kick-off on May 21, 2017 at 07:00 PM (UTC)Stade Omnisports Modibo Keïta, Bamako
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What was the result of AS Bamako vs USC Kita?
AS Bamako and USC Kita drew 0-0 on May 21, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Bamako have 8 wins, 2 draws and 5 defeats; USC Kita have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2017 | Nianan(away) | 1-0 | Première Division |
| May 13, 2017 | Onze Créateurs(away) | 1-2 | Première Division |
| May 7, 2017 | Stade Malien Bamako(home) | 1-1 | Première Division |
| Mar 5, 2017 | Djoliba(home) | 1-0 | Première Division |
| Feb 25, 2017 | COB(away) | 0-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2017 | Djoliba(away) | 0-2 | Première Division |
| May 13, 2017 | Stade Malien Bamako(away) | 0-4 | Première Division |
| May 7, 2017 | CSK(home) | 2-1 | Première Division |
| Mar 5, 2017 | Soni(home) | 1-0 | Première Division |
| Mar 1, 2017 | Réal Bamako(away) | 0-1 | Première Division |
What does the head-to-head say?
Across the last 2 meetings: 1 AS Bamako win, 1 draw, 0 USC Kita wins.
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2016 | AS Bamako 1-0 USC Kita | Première Division |
| Apr 24, 2016 | USC Kita 1-1 AS Bamako | Première Division |
Last archived meeting: AS Bamako vs USC Kita on Aug 15, 2016
How many goals should we expect?
AS Bamako score 1.1 and concede 0.8 goals per match over their last 15; USC Kita score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Bamako | 1.1 | 0.8 | 8 | 5/15 | 5/15 |
| USC Kita | 1.1 | 0.8 | 8 | 2/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about AS Bamako vs USC Kita?
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