Duguwolofila vs ASOM: result 1-0 and analysis
Première DivisionRegular Season - 1Kick-off on November 23, 2013 at 04:30 PM (UTC)Stade Mamadou Diarra H. de Koulikoro, Koulikoro
Full time
What was the result of Duguwolofila vs ASOM?
Duguwolofila won 1-0 on November 23, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Duguwolofila have 5 wins, 4 draws and 6 defeats; ASOM have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2013 | ASOM(away) | 2-1 | Première Division |
| Jul 20, 2013 | Office Niger Sports(away) | 0-1 | Première Division |
| Jul 17, 2013 | Réal Bamako(away) | 1-5 | Première Division |
| Jul 13, 2013 | AS Bamako(home) | 0-1 | Première Division |
| Jun 15, 2013 | CSK(home) | 1-1 | Première Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2013 | Duguwolofila(home) | 1-2 | Première Division |
| Jul 20, 2013 | COB(away) | 1-1 | Première Division |
| Jul 16, 2013 | Nianan(away) | 2-1 | Première Division |
| Jul 13, 2013 | Atar Club(home) | 3-1 | Première Division |
| Jun 17, 2013 | Stade Malien Bamako(home) | 0-2 | Première Division |
What does the head-to-head say?
Across the last 4 meetings: 2 Duguwolofila wins, 0 draws, 2 ASOM wins.
| Date | Score | Competition |
|---|---|---|
| Aug 3, 2013 | ASOM 1-2 Duguwolofila | Première Division |
| Mar 2, 2013 | Duguwolofila 0-1 ASOM | Première Division |
| Aug 4, 2012 | Duguwolofila 0-1 ASOM | Première Division |
| Mar 2, 2012 | ASOM 0-3 Duguwolofila | Première Division |
How many goals should we expect?
Duguwolofila score 0.5 and concede 1.0 goals per match over their last 15; ASOM score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Duguwolofila | 0.5 | 1.0 | 7 | 3/15 | 3/15 |
| ASOM | 1.0 | 1.5 | 0 | 10/15 | 6/15 |
Over the last 15 matches in all competitions.
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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