USFAS Bamako vs USC Kita: result 1-1 and analysis
Première DivisionRegular Season - 9Kick-off on May 14, 2016 at 07:00 PM (UTC)Stade Mamadou Konaté, Bamako
Full time
What was the result of USFAS Bamako vs USC Kita?
USFAS Bamako and USC Kita drew 1-1 on May 14, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, USFAS Bamako have 9 wins, 1 draw and 5 defeats; USC Kita have 1, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2016 | Réal Bamako(away) | 1-2 | Première Division |
| May 1, 2016 | CSK(home) | 2-1 | Première Division |
| Apr 24, 2016 | Bakaridjan(away) | 2-1 | Première Division |
| Apr 16, 2016 | Debo(home) | 3-0 | Première Division |
| Apr 11, 2016 | Djoliba(away) | 1-2 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Mamahira(away) | 1-0 | Première Division |
| May 1, 2016 | Police(away) | 1-1 | Première Division |
| Apr 24, 2016 | AS Bamako(home) | 1-1 | Première Division |
| Apr 17, 2016 | Djoliba(home) | 1-1 | Première Division |
| Apr 10, 2016 | Réal Bamako(away) | 0-3 | Première Division |
How many goals should we expect?
USFAS Bamako score 1.6 and concede 1.1 goals per match over their last 15; USC Kita score 0.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USFAS Bamako | 1.6 | 1.1 | 4 | 9/15 | 10/15 |
| USC Kita | 0.6 | 1.1 | 2 | 4/8 | 2/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | USFAS Bamako | 1 | 0 | 0 | 1 | 0 | 2 | 0 |
A question about USFAS Bamako vs USC Kita?
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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