Match

Nianan vs Duguwolofila: result 0-1 and analysis

Première DivisionRegular Season - 9Kick-off on March 8, 2015 at 07:30 PM (UTC)Stade Mamadou Konaté, Bamako

Nianan
0-1
Duguwolofila

Full time

What was the result of Nianan vs Duguwolofila?

Duguwolofila won 0-1 on March 8, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Nianan have 5 wins, 3 draws and 7 defeats; Duguwolofila have 6, 5 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Nianan
DateOpponentScoreCompetition
Jan 2, 2015AS Bamako(home)1-0Première Division
Dec 25, 2014ASOM(away)2-1Première Division
Dec 19, 2014Police(home)0-2Première Division
Dec 14, 2014Réal Bamako(away)1-3Première Division
Dec 7, 2014Bakaridjan(away)2-0Première Division
Duguwolofila
DateOpponentScoreCompetition
Feb 27, 2015Bakaridjan(home)0-0Première Division
Feb 20, 2015USFAS Bamako(home)2-0Première Division
Jan 11, 2015Stade Malien Bamako(away)0-1Première Division
Jan 4, 2015Sabana(away)0-0Première Division
Dec 25, 2014Onze Créateurs(away)0-1Première Division

What does the head-to-head say?

Across the last 6 meetings: 1 Nianan win, 1 draw, 4 Duguwolofila wins.

DateScoreCompetition
Jun 8, 2014Nianan 0-3 DuguwolofilaPremière Division
Dec 29, 2013Duguwolofila 1-1 NiananPremière Division
Apr 13, 2013Duguwolofila 1-0 NiananPremière Division
Dec 29, 2012Nianan 2-0 DuguwolofilaPremière Division
Jun 9, 2012Nianan 0-1 DuguwolofilaPremière Division
Jan 15, 2012Duguwolofila 2-0 NiananPremière Division

Last archived meeting: Nianan vs Duguwolofila on Jun 8, 2014

How many goals should we expect?

Nianan score 0.7 and concede 1.1 goals per match over their last 15; Duguwolofila score 1.1 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nianan0.71.164/155/15
Duguwolofila1.10.5102/155/15

Over the last 15 matches in all competitions.

A question about Nianan vs Duguwolofila?

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

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