USC Kita vs CSK: result 0-0 and analysis
Première DivisionRegular Season - 16Kick-off on January 25, 2020 at 03:30 PM (UTC)Stade Municipal de Kita, Kita
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What was the result of USC Kita vs CSK?
USC Kita and CSK drew 0-0 on January 25, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, USC Kita have 9 wins, 3 draws and 3 defeats; CSK have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 18, 2020 | Onze Créateurs(away) | 1-1 | Première Division |
| Jan 11, 2020 | Black Stars(home) | 1-0 | Première Division |
| Jan 5, 2020 | Sabana(home) | 3-0 | Première Division |
| Dec 29, 2019 | ASOM(away) | 1-0 | Première Division |
| Dec 15, 2019 | COB(home) | 1-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 18, 2020 | Bougouni(home) | 2-0 | Première Division |
| Jan 10, 2020 | Yeelen Olympique(away) | 1-2 | Première Division |
| Dec 28, 2019 | Stade Malien Bamako(home) | 1-2 | Première Division |
| Dec 15, 2019 | Onze Créateurs(home) | 2-3 | Première Division |
| Dec 7, 2019 | Sabana(away) | 1-0 | Première Division |
What does the head-to-head say?
Across the last 4 meetings: 1 USC Kita win, 1 draw, 2 CSK wins.
| Date | Score | Competition |
|---|---|---|
| Oct 26, 2019 | CSK 1-0 USC Kita | Première Division |
| 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?
USC Kita score 1.1 and concede 0.5 goals per match over their last 15; CSK score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USC Kita | 1.1 | 0.5 | 8 | 4/15 | 4/15 |
| CSK | 1.0 | 1.4 | 5 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about USC Kita vs CSK?
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