AS Bamako vs USC Kita: result 1-0 and analysis
Première DivisionMatchday 15Kick-off on August 15, 2016 at 04:00 PM (UTC)Stade Omnisports Modibo Keïta, Bamako
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What was the result of AS Bamako vs USC Kita?
AS Bamako won 1-0 on August 15, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Bamako have 7 wins, 5 draws and 3 defeats; USC Kita have 3, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2016 | Réal Bamako(away) | 0-1 | Première Division |
| Jul 3, 2016 | CSK(home) | 1-0 | Première Division |
| Jun 26, 2016 | Bakaridjan(away) | 2-0 | Première Division |
| Jun 18, 2016 | Debo(home) | 3-0 | Première Division |
| Jun 15, 2016 | USFAS Bamako(away) | 0-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jun 17, 2016 | Bakaridjan(home) | 2-0 | Première Division |
| Jun 12, 2016 | Debo(home) | 0-0 | Première Division |
What does the head-to-head say?
In the last meeting: 0 AS Bamako wins, 1 draw, 0 USC Kita wins.
| Date | Score | Competition |
|---|---|---|
| Apr 24, 2016 | USC Kita 1-1 AS Bamako | Première Division |
Last archived meeting: USC Kita vs AS Bamako on Apr 24, 2016
How many goals should we expect?
AS Bamako score 0.9 and concede 0.5 goals per match over their last 15; USC Kita score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Bamako | 0.9 | 0.5 | 10 | 2/15 | 3/15 |
| USC Kita | 0.9 | 0.9 | 5 | 6/14 | 4/14 |
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