USC Kita vs CSK: result 2-1 and analysis
Première DivisionRegular Season - 7Kick-off on May 7, 2017 at 07:00 PM (UTC)Stade Municipal de Kita, Kita
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What was the result of USC Kita vs CSK?
USC Kita won 2-1 on May 7, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, USC Kita have 8 wins, 4 draws and 3 defeats; CSK have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2017 | Soni(home) | 1-0 | Première Division |
| Mar 1, 2017 | Réal Bamako(away) | 0-1 | Première Division |
| Feb 26, 2017 | ASOM(home) | 2-0 | Première Division |
| Feb 12, 2017 | Bougouni(away) | 2-0 | Première Division |
| Feb 5, 2017 | Mamahira(home) | 2-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2017 | Duguwolofila(away) | 0-1 | Première Division |
| Feb 25, 2017 | Djoliba(home) | 1-3 | Première Division |
| Feb 12, 2017 | Bakaridjan(home) | 0-1 | Première Division |
| Feb 8, 2017 | COB(home) | 0-2 | Première Division |
| Sep 7, 2016 | Bakaridjan(home) | 3-1 | Première Division |
What does the head-to-head say?
Across the last 2 meetings: 0 USC Kita wins, 1 draw, 1 CSK win.
| Date | Score | Competition |
|---|---|---|
| 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 1.2 and concede 0.4 goals per match over their last 15; CSK score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USC Kita | 1.2 | 0.4 | 10 | 2/15 | 2/15 |
| CSK | 0.7 | 1.9 | 3 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about USC Kita vs CSK?
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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