Sabana vs ASOM: result 0-1 and analysis
Première DivisionRegular Season - 7Kick-off on November 17, 2019 at 03:45 PM (UTC)Stade Baréma Bocoum, Mopti
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What was the result of Sabana vs ASOM?
ASOM won 0-1 on November 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sabana have 2 wins, 3 draws and 10 defeats; ASOM have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2019 | Black Stars(away) | 3-0 | Première Division |
| Oct 26, 2019 | COB(home) | 0-1 | Première Division |
| Sep 26, 2019 | USFAS Bamako(away) | 0-3 | Première Division |
| Aug 25, 2019 | USC Kita(home) | 1-2 | Première Division |
| Aug 18, 2019 | Bougouni(away) | 3-3 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2019 | Yeelen Olympique(away) | 2-1 | Première Division |
| Oct 26, 2019 | Black Stars(home) | 1-2 | Première Division |
| Sep 26, 2019 | COB(away) | 1-1 | Première Division |
| Sep 18, 2019 | Bougouni(home) | 1-0 | Première Division |
| Aug 23, 2019 | USFAS Bamako(home) | 1-3 | Première Division |
What does the head-to-head say?
Across the last 4 meetings: 2 Sabana wins, 1 draw, 1 ASOM win.
| Date | Score | Competition |
|---|---|---|
| Jul 3, 2016 | Sabana 0-1 ASOM | Première Division |
| Apr 12, 2016 | ASOM 0-1 Sabana | Première Division |
| Jul 13, 2015 | Sabana 2-0 ASOM | Première Division |
| Feb 25, 2015 | ASOM 1-1 Sabana | Première Division |
How many goals should we expect?
Sabana score 0.8 and concede 1.8 goals per match over their last 15; ASOM score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabana | 0.8 | 1.8 | 3 | 5/15 | 10/15 |
| ASOM | 1.0 | 1.3 | 2 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Sabana 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