Police vs CSK: prediction and stats
Première DivisionRegular Season - 11Kick-off on March 26, 2015 at 12:00 AM (UTC)Stade 26 Mars, Bamako
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Police have 4 wins, 3 draws and 8 defeats; CSK have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2015 | Duguwolofila(away) | 0-2 | Première Division |
| Mar 7, 2015 | Mamahira(home) | 0-0 | Première Division |
| Feb 19, 2015 | ASOM(home) | 2-0 | Première Division |
| Jan 11, 2015 | AS Bamako(away) | 1-4 | Première Division |
| Dec 19, 2014 | Nianan(away) | 2-0 | Première Division |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 2 Police wins, 1 draw, 0 CSK wins.
| Date | Score | Competition |
|---|---|---|
| Dec 24, 2013 | Police 0-0 CSK | Première Division |
| Aug 27, 2012 | CSK 0-4 Police | Première Division |
| Mar 16, 2012 | Police 2-1 CSK | Première Division |
How many goals should we expect?
Police score 0.9 and concede 1.6 goals per match over their last 15; CSK score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Police | 0.9 | 1.6 | 5 | 4/15 | 6/15 |
| CSK | 0.9 | 0.7 | 8 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Police | 26 | 8 | 6 | 12 | 24 | 35 | 30 |
A question about Police 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