CSK vs USC Kita: result 1-0 and analysis
Première DivisionRegular Season - 5Kick-off on October 26, 2019 at 04:00 PM (UTC)Stade Mamadou Konaté, Bamako
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What was the result of CSK vs USC Kita?
CSK won 1-0 on October 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CSK have 6 wins, 1 draw and 8 defeats; USC Kita have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2019 | Bougouni(away) | 1-2 | Première Division |
| Sep 18, 2019 | Yeelen Olympique(home) | 0-0 | Première Division |
| Aug 18, 2019 | Stade Malien Bamako(away) | 0-2 | Première Division |
| Sep 30, 2017 | AS Bamako(home) | 2-1 | Première Division |
| Sep 24, 2017 | Bakaridjan(away) | 2-5 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2019 | Onze Créateurs(home) | 0-1 | Première Division |
| Sep 18, 2019 | Black Stars(away) | 0-0 | Première Division |
| Aug 25, 2019 | Sabana(away) | 2-1 | Première Division |
| Aug 18, 2019 | ASOM(home) | 1-0 | Première Division |
| Nov 8, 2017 | Soni(away) | 2-2 | Première Division |
What does the head-to-head say?
Across the last 3 meetings: 1 CSK win, 1 draw, 1 USC Kita win.
| Date | Score | Competition |
|---|---|---|
| May 7, 2017 | USC Kita 2-1 CSK | Première Division |
| Jun 24, 2016 | CSK 1-0 USC Kita | Première Division |
| Apr 4, 2016 | USC Kita 0-0 CSK | Première Division |
How many goals should we expect?
CSK score 1.3 and concede 1.4 goals per match over their last 15; USC Kita score 1.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CSK | 1.3 | 1.4 | 4 | 7/15 | 8/15 |
| USC Kita | 1.1 | 0.6 | 8 | 5/15 | 5/15 |
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