CSK vs ASOM: result 1-0 and analysis
Première DivisionRegular Season - 9Kick-off on May 22, 2017 at 07:00 PM (UTC)Stade Omnisports Modibo Keïta, Bamako
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What was the result of CSK vs ASOM?
CSK won 1-0 on May 22, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CSK have 4 wins, 0 draws and 11 defeats; ASOM have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2017 | Mamahira(home) | 0-3 | Première Division |
| May 12, 2017 | Réal Bamako(home) | 0-3 | Première Division |
| May 7, 2017 | USC Kita(away) | 1-2 | Première Division |
| Mar 4, 2017 | Duguwolofila(away) | 0-1 | Première Division |
| Feb 25, 2017 | Djoliba(home) | 1-3 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2017 | Onze Créateurs(away) | 1-0 | Première Division |
| May 13, 2017 | Duguwolofila(away) | 2-1 | Première Division |
| May 7, 2017 | Soni(home) | 1-1 | Première Division |
| Mar 4, 2017 | LC Ba(home) | 1-0 | Première Division |
| Feb 26, 2017 | USC Kita(away) | 0-2 | Première Division |
What does the head-to-head say?
Across the last 6 meetings: 2 CSK wins, 3 draws, 1 ASOM win.
| Date | Score | Competition |
|---|---|---|
| May 9, 2014 | CSK 2-1 ASOM | Première Division |
| Dec 6, 2013 | ASOM 0-0 CSK | Première Division |
| May 6, 2013 | CSK 2-0 ASOM | Première Division |
| Jan 4, 2013 | ASOM 2-0 CSK | Première Division |
| Jul 3, 2012 | CSK 0-0 ASOM | Première Division |
| Feb 4, 2012 | ASOM 1-1 CSK | Première Division |
How many goals should we expect?
CSK score 0.7 and concede 2.1 goals per match over their last 15; ASOM score 0.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CSK | 0.7 | 2.1 | 2 | 5/15 | 9/15 |
| ASOM | 0.8 | 0.7 | 7 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
A question about CSK vs ASOM?
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