Match

Duguwolofila vs Nianan: result 1-1 and analysis

Première DivisionRegular Season - 6Kick-off on December 29, 2013 at 04:00 PM (UTC)Stade Mamadou Diarra H. de Koulikoro, Koulikoro

Duguwolofila
1-1
Nianan

Full time

What was the result of Duguwolofila vs Nianan?

Duguwolofila and Nianan drew 1-1 on December 29, 2013.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Duguwolofila have 7 wins, 2 draws and 6 defeats; Nianan have 8, 0 and 7.

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

Duguwolofila
DateOpponentScoreCompetition
Dec 24, 2013AS Bamako(away)2-1Première Division
Dec 18, 2013Police(home)0-0Première Division
Dec 7, 2013Bakaridjan(away)3-2Première Division
Dec 1, 2013Stade Malien Bamako(away)0-1Première Division
Nov 23, 2013ASOM(home)1-0Première Division
Nianan
DateOpponentScoreCompetition
Dec 26, 2013Office Niger Sports(home)2-0Première Division
Dec 17, 2013Debo(home)1-0Première Division
Dec 8, 2013Elwidj(away)1-0Première Division
Nov 30, 2013USFAS Bamako(home)1-3Première Division
Nov 22, 2013COB(away)0-1Première Division

What does the head-to-head say?

Across the last 4 meetings: 3 Duguwolofila wins, 0 draws, 1 Nianan win.

DateScoreCompetition
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: Duguwolofila vs Nianan on Apr 13, 2013

How many goals should we expect?

Duguwolofila score 0.9 and concede 1.1 goals per match over their last 15; Nianan score 1.2 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Duguwolofila0.91.155/154/15
Nianan1.21.067/157/15

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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