Sabana vs Nianan: result 1-2 and analysis
Première DivisionRegular Season - 17Kick-off on August 28, 2016 at 06:00 PM (UTC)Stade Baréma Bocoum, Mopti
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What was the result of Sabana vs Nianan?
Nianan won 1-2 on August 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sabana have 2 wins, 4 draws and 9 defeats; Nianan have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2016 | LC Ba(away) | 1-0 | Première Division |
| Aug 6, 2016 | Onze Créateurs(away) | 1-2 | Première Division |
| Jul 3, 2016 | ASOM(home) | 0-1 | Première Division |
| Jun 25, 2016 | COB(away) | 2-2 | Première Division |
| Jun 19, 2016 | Stade Malien Bamako(away) | 0-3 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2016 | Bougouni(away) | 1-0 | Première Division |
| Aug 14, 2016 | Stade Malien Bamako(away) | 0-1 | Première Division |
| Jul 30, 2016 | ASOM(home) | 0-0 | Première Division |
| Jun 26, 2016 | Duguwolofila(away) | 0-1 | Première Division |
| Jun 18, 2016 | LC Ba(home) | 0-2 | Première Division |
What does the head-to-head say?
Across the last 3 meetings: 0 Sabana wins, 1 draw, 2 Nianan wins.
| Date | Score | Competition |
|---|---|---|
| May 7, 2016 | Nianan 1-0 Sabana | Première Division |
| Jun 1, 2015 | Sabana 0-1 Nianan | Première Division |
| Apr 12, 2015 | Nianan 1-1 Sabana | Première Division |
How many goals should we expect?
Sabana score 0.6 and concede 1.5 goals per match over their last 15; Nianan score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabana | 0.6 | 1.5 | 4 | 4/15 | 7/15 |
| Nianan | 0.9 | 1.1 | 6 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Sabana 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