ASKO vs Nianan: result 3-2 and analysis
Première DivisionRegular Season - 16Kick-off on April 3, 2012 at 05:00 PM (UTC)Stade Omnisports Modibo Keïta, Bamako
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What was the result of ASKO vs Nianan?
ASKO won 3-2 on April 3, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASKO have 7 wins, 3 draws and 5 defeats; Nianan have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2012 | Jeanne d’Arc de Bamako(away) | 2-1 | Première Division |
| Mar 11, 2012 | Djoliba(home) | 0-1 | Première Division |
| Mar 2, 2012 | Police(away) | 2-0 | Première Division |
| Feb 26, 2012 | COB(home) | 1-0 | Première Division |
| Feb 17, 2012 | ASOM(away) | 1-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2012 | Djoliba(away) | 1-4 | Première Division |
| Mar 12, 2012 | Jeanne d’Arc de Bamako(away) | 2-3 | Première Division |
| Mar 4, 2012 | COB(home) | 2-1 | Première Division |
| Feb 24, 2012 | Police(away) | 1-1 | Première Division |
| Feb 20, 2012 | AS Bamako(away) | 1-1 | Première Division |
What does the head-to-head say?
In the last meeting: 0 ASKO wins, 1 draw, 0 Nianan wins.
| Date | Score | Competition |
|---|---|---|
| Dec 11, 2011 | Nianan 1-1 ASKO | Première Division |
How many goals should we expect?
ASKO score 0.9 and concede 0.8 goals per match over their last 15; Nianan score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASKO | 0.9 | 0.8 | 6 | 4/15 | 3/15 |
| Nianan | 0.9 | 1.5 | 3 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | ASKO | 26 | 9 | 6 | 11 | 28 | 31 | 33 |
A question about ASKO vs Nianan?
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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