Duguwolofila vs Stade Malien Sikasso: result 3-1 and analysis
Première DivisionMatchday 14Kick-off on March 11, 2012 at 05:00 PM (UTC)Stade Amary Daou, Ségou
Full time
What was the result of Duguwolofila vs Stade Malien Sikasso?
Duguwolofila won 3-1 on March 11, 2012.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Duguwolofila have 4 wins, 3 draws and 4 defeats; Stade Malien Sikasso have 2, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2012 | ASOM(away) | 3-0 | Première Division |
| Feb 26, 2012 | AS Bamako(home) | 0-0 | Première Division |
| Feb 10, 2012 | COB(home) | 1-2 | Première Division |
| Jan 20, 2012 | Djoliba(home) | 0-1 | Première Division |
| Jan 15, 2012 | Nianan(home) | 2-0 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2012 | Sigui(home) | 0-0 | Première Division |
| Feb 27, 2012 | Réal Bamako(away) | 0-0 | Première Division |
| Feb 19, 2012 | Bakaridjan(home) | 0-1 | Première Division |
| Feb 16, 2012 | Nianan(home) | 2-0 | Première Division |
| Feb 9, 2012 | CSK(away) | 0-0 | Première Division |
How many goals should we expect?
Duguwolofila score 1.2 and concede 0.7 goals per match over their last 11; Stade Malien Sikasso score 0.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Duguwolofila | 1.2 | 0.7 | 5 | 3/11 | 4/11 |
| Stade Malien Sikasso | 0.5 | 1.2 | 5 | 2/13 | 4/13 |
Over the last 11 matches in all competitions.
A question about Duguwolofila vs Stade Malien Sikasso?
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