Nianan vs Sabana: result 1-0 and analysis
Première DivisionRegular Season - 8Kick-off on May 7, 2016 at 05:00 PM (UTC)Stade Mamadou Diarra H. de Koulikoro, Koulikoro
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What was the result of Nianan vs Sabana?
Nianan won 1-0 on May 7, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nianan have 6 wins, 3 draws and 6 defeats; Sabana have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2016 | Bougouni(home) | 1-4 | Première Division |
| Apr 24, 2016 | Stade Malien Bamako(home) | 0-2 | Première Division |
| Apr 3, 2016 | Duguwolofila(home) | 2-2 | Première Division |
| Mar 21, 2016 | LC Ba(away) | 1-0 | Première Division |
| Mar 17, 2016 | COB(home) | 2-1 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | LC Ba(home) | 0-2 | Première Division |
| Apr 17, 2016 | Onze Créateurs(home) | 0-1 | Première Division |
| Apr 12, 2016 | ASOM(away) | 1-0 | Première Division |
| Apr 4, 2016 | COB(home) | 3-3 | Première Division |
| Mar 27, 2016 | Stade Malien Bamako(away) | 1-2 | Première Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Nianan win, 1 draw, 0 Sabana wins.
| Date | Score | Competition |
|---|---|---|
| Jun 1, 2015 | Sabana 0-1 Nianan | Première Division |
| Apr 12, 2015 | Nianan 1-1 Sabana | Première Division |
How many goals should we expect?
Nianan score 1.3 and concede 1.2 goals per match over their last 15; Sabana score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nianan | 1.3 | 1.2 | 5 | 6/15 | 6/15 |
| Sabana | 0.7 | 1.7 | 3 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Nianan vs Sabana?
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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