Sabana vs COB: result 0-1 and analysis
Première DivisionRegular Season - 5Kick-off on October 26, 2019 at 03:45 PM (UTC)Stade Baréma Bocoum, Mopti
Full time
What was the result of Sabana vs COB?
COB won 0-1 on October 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sabana have 1 win, 3 draws and 11 defeats; COB have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 8, 2016 | Duguwolofila(away) | 0-4 | Première Division |
| Aug 28, 2016 | Nianan(home) | 1-2 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2019 | ASOM(home) | 1-1 | Première Division |
| Sep 18, 2019 | USFAS Bamako(home) | 2-1 | Première Division |
| Aug 26, 2019 | Black Stars(away) | 3-2 | Première Division |
| Aug 18, 2019 | Yeelen Olympique(home) | 4-1 | Première Division |
| Sep 30, 2017 | Duguwolofila(home) | 1-1 | Première Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Sabana wins, 2 draws, 0 COB wins.
| Date | Score | Competition |
|---|---|---|
| Jun 25, 2016 | COB 2-2 Sabana | Première Division |
| Apr 4, 2016 | Sabana 3-3 COB | Première Division |
How many goals should we expect?
Sabana score 0.6 and concede 1.9 goals per match over their last 15; COB score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sabana | 0.6 | 1.9 | 2 | 5/15 | 9/15 |
| COB | 1.3 | 1.1 | 3 | 10/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Sabana vs COB?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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