CSK vs USC Kita: result 1-0 and analysis
Première DivisionRegular Season - 12Kick-off on June 24, 2016 at 04:30 PM (UTC)Stade Omnisports Modibo Keïta, Bamako
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What was the result of CSK vs USC Kita?
CSK won 1-0 on June 24, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CSK have 3 wins, 6 draws and 6 defeats; USC Kita have 2, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2016 | Réal Bamako(away) | 0-6 | Première Division |
| Jun 13, 2016 | Djoliba(home) | 0-5 | Première Division |
| May 15, 2016 | Bakaridjan(away) | 0-1 | Première Division |
| May 9, 2016 | Debo(home) | 0-0 | Première Division |
| May 1, 2016 | USFAS Bamako(away) | 1-2 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2016 | Bakaridjan(home) | 2-0 | Première Division |
| Jun 12, 2016 | Debo(home) | 0-0 | Première Division |
| May 14, 2016 | USFAS Bamako(away) | 1-1 | Première Division |
| May 8, 2016 | Mamahira(away) | 1-0 | Première Division |
| May 1, 2016 | Police(away) | 1-1 | Première Division |
What does the head-to-head say?
In the last meeting: 0 CSK wins, 1 draw, 0 USC Kita wins.
| Date | Score | Competition |
|---|---|---|
| Apr 4, 2016 | USC Kita 0-0 CSK | Première Division |
How many goals should we expect?
CSK score 0.7 and concede 1.4 goals per match over their last 15; USC Kita score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CSK | 0.7 | 1.4 | 6 | 4/15 | 6/15 |
| USC Kita | 0.7 | 0.9 | 4 | 5/11 | 2/11 |
Over the last 15 matches in all competitions.
A question about CSK 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