Sabana vs Nianan: result 0-1 and analysis
Première DivisionRegular Season - 18Kick-off on June 1, 2015 at 01:00 PM (UTC)Stade Baréma Bocoum, Mopti
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What was the result of Sabana vs Nianan?
Nianan won 0-1 on June 1, 2015.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Sabana have 1 win, 6 draws and 6 defeats; Nianan have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2015 | Police(away) | 2-3 | Première Division |
| May 23, 2015 | Réal Bamako(away) | 0-5 | Première Division |
| May 6, 2015 | Police(home) | 0-0 | Première Division |
| Apr 26, 2015 | Réal Bamako(home) | 0-0 | Première Division |
| Apr 22, 2015 | Bakaridjan(away) | 0-1 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2015 | Onze Créateurs(away) | 0-1 | Première Division |
| May 24, 2015 | Mamahira(home) | 2-1 | Première Division |
| May 7, 2015 | Stade Malien Bamako(home) | 0-1 | Première Division |
| Apr 26, 2015 | USFAS Bamako(away) | 0-2 | Première Division |
| Apr 22, 2015 | Onze Créateurs(home) | 0-1 | Première Division |
What does the head-to-head say?
In the last meeting: 0 Sabana wins, 1 draw, 0 Nianan wins.
| Date | Score | Competition |
|---|---|---|
| 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 13; Nianan score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabana | 0.6 | 1.5 | 4 | 4/13 | 4/13 |
| Nianan | 0.8 | 1.4 | 3 | 5/15 | 5/15 |
Over the last 13 matches in all competitions.
A question about Sabana 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