CSK vs Nianan: prediction and stats
Première DivisionRegular Season - 8Kick-off on February 26, 2015 at 12:00 AM (UTC)Stade Omnisports Modibo Keïta, Bamako
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, CSK have 5 wins, 7 draws and 3 defeats; Nianan have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2014 | Nianan(home) | 0-1 | Première Division |
| Sep 12, 2014 | COB(away) | 2-2 | Première Division |
| Aug 19, 2014 | Duguwolofila(away) | 0-0 | Première Division |
| Aug 12, 2014 | Elwidj(home) | 2-1 | Première Division |
| Aug 8, 2014 | Stade Malien Bamako(away) | 0-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 2, 2015 | AS Bamako(home) | 1-0 | Première Division |
| Dec 25, 2014 | ASOM(away) | 2-1 | Première Division |
| Dec 19, 2014 | Police(home) | 0-2 | Première Division |
| Dec 14, 2014 | Réal Bamako(away) | 1-3 | Première Division |
| Dec 7, 2014 | Bakaridjan(away) | 2-0 | Première Division |
What does the head-to-head say?
Across the last 6 meetings: 2 CSK wins, 0 draws, 4 Nianan wins.
| Date | Score | Competition |
|---|---|---|
| Sep 18, 2014 | CSK 0-1 Nianan | Première Division |
| Apr 13, 2014 | Nianan 0-1 CSK | Première Division |
| May 31, 2013 | CSK 0-1 Nianan | Première Division |
| Jan 12, 2013 | Nianan 1-0 CSK | Première Division |
| Apr 22, 2012 | Nianan 2-0 CSK | Première Division |
| Dec 22, 2011 | CSK 2-1 Nianan | Première Division |
How many goals should we expect?
CSK score 0.9 and concede 0.7 goals per match over their last 15; Nianan score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CSK | 0.9 | 0.7 | 8 | 6/15 | 5/15 |
| Nianan | 0.7 | 1.1 | 6 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about CSK vs Nianan?
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