Match

Nianan vs Duguwolofila: result 0-0 and analysis

Première DivisionRegular Season - 4Kick-off on February 26, 2017 at 04:00 PM (UTC)Stade Mamadou Diarra H. de Koulikoro, Koulikoro

Nianan
0-0
Duguwolofila

Full time

What was the result of Nianan vs Duguwolofila?

Nianan and Duguwolofila drew 0-0 on February 26, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Nianan have 4 wins, 3 draws and 8 defeats; Duguwolofila have 6, 4 and 5.

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

Nianan
DateOpponentScoreCompetition
Feb 19, 2017Soni(away)1-0Première Division
Feb 12, 2017LC Ba(home)0-0Première Division
Feb 4, 2017Stade Malien Bamako(away)0-2Première Division
Sep 7, 2016Onze Créateurs(home)0-2Première Division
Aug 28, 2016Sabana(away)2-1Première Division
Duguwolofila
DateOpponentScoreCompetition
Feb 12, 2017AS Bamako(away)0-1Première Division
Feb 5, 2017Djoliba(away)1-0Première Division
Sep 8, 2016Sabana(home)4-0Première Division
Aug 27, 2016Bougouni(away)0-1Première Division
Aug 23, 2016Stade Malien Bamako(home)0-2Première Division

What does the head-to-head say?

Across the last 6 meetings: 0 Nianan wins, 3 draws, 3 Duguwolofila wins.

DateScoreCompetition
Jun 26, 2016Duguwolofila 1-0 NiananPremière Division
Apr 3, 2016Nianan 2-2 DuguwolofilaPremière Division
Sep 5, 2015Duguwolofila 0-0 NiananPremière Division
Mar 8, 2015Nianan 0-1 DuguwolofilaPremière Division
Jun 8, 2014Nianan 0-3 DuguwolofilaPremière Division
Dec 29, 2013Duguwolofila 1-1 NiananPremière Division

Last archived meeting: Duguwolofila vs Nianan on Jun 26, 2016

How many goals should we expect?

Nianan score 0.5 and concede 1.2 goals per match over their last 15; Duguwolofila score 1.1 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nianan0.51.253/152/15
Duguwolofila1.10.764/153/15

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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