Match

Duguwolofila vs Nianan: result 0-0 and analysis

Première DivisionRegular Season - 26Kick-off on September 5, 2015 at 04:00 PM (UTC)Stade Mamadou Diarra H. de Koulikoro, Koulikoro

Duguwolofila
0-0
Nianan

Full time

What was the result of Duguwolofila vs Nianan?

Duguwolofila and Nianan drew 0-0 on September 5, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Duguwolofila have 6 wins, 5 draws and 4 defeats; Nianan have 5, 2 and 8.

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

Duguwolofila
DateOpponentScoreCompetition
Aug 31, 2015Police(away)2-2Première Division
Aug 23, 2015Réal Bamako(home)1-1Première Division
Aug 19, 2015AS Bamako(away)1-1Première Division
Aug 1, 2015Stade Malien Bamako(home)0-3Première Division
Jul 21, 2015Sabana(away)2-0Première Division
Nianan
DateOpponentScoreCompetition
Aug 31, 2015ASOM(home)5-0Première Division
Aug 15, 2015Bakaridjan(home)1-1Première Division
Aug 8, 2015USFAS Bamako(home)1-0Première Division
Jul 31, 2015Police(away)0-2Première Division
Jul 21, 2015Réal Bamako(home)1-2Première Division

What does the head-to-head say?

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

DateScoreCompetition
Mar 8, 2015Nianan 0-1 DuguwolofilaPremière Division
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

Last archived meeting: Nianan vs Duguwolofila on Mar 8, 2015

How many goals should we expect?

Duguwolofila score 1.1 and concede 0.9 goals per match over their last 15; Nianan score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Duguwolofila1.10.966/153/15
Nianan1.11.335/155/15

Over the last 15 matches in all competitions.

A question about Duguwolofila vs Nianan?

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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