USC Kita vs Sabana: result 3-0 and analysis
Première DivisionRegular Season - 13Kick-off on January 5, 2020 at 03:30 PM (UTC)Stade Municipal de Kita, Kita
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What was the result of USC Kita vs Sabana?
USC Kita won 3-0 on January 5, 2020.
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; Sabana have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 29, 2019 | ASOM(away) | 1-0 | Première Division |
| Dec 15, 2019 | COB(home) | 1-0 | Première Division |
| Dec 9, 2019 | USFAS Bamako(away) | 1-0 | Première Division |
| Dec 1, 2019 | Yeelen Olympique(home) | 2-1 | Première Division |
| Nov 24, 2019 | Bougouni(home) | 1-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 29, 2019 | Bougouni(home) | 3-2 | Première Division |
| Dec 14, 2019 | Stade Malien Bamako(away) | 1-3 | Première Division |
| Dec 7, 2019 | CSK(home) | 0-1 | Première Division |
| Dec 1, 2019 | Onze Créateurs(away) | 0-1 | Première Division |
| Nov 24, 2019 | Yeelen Olympique(away) | 0-2 | Première Division |
What does the head-to-head say?
In the last meeting: 1 USC Kita win, 0 draws, 0 Sabana wins.
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2019 | Sabana 1-2 USC Kita | Première Division |
How many goals should we expect?
USC Kita score 0.9 and concede 0.5 goals per match over their last 15; Sabana score 0.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USC Kita | 0.9 | 0.5 | 8 | 4/15 | 4/15 |
| Sabana | 0.9 | 1.8 | 2 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about USC Kita vs Sabana?
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