Match

Nianan vs AS Bamako: result 4-1 and analysis

Première DivisionRegular Season - 20Kick-off on July 15, 2015 at 04:00 PM (UTC)Stade Mamadou Diarra H. de Koulikoro, Koulikoro

Nianan
4-1
AS Bamako

Full time

What was the result of Nianan vs AS Bamako?

Nianan won 4-1 on July 15, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Nianan have 5 wins, 1 draw and 9 defeats; AS Bamako have 2, 2 and 11.

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

Nianan
DateOpponentScoreCompetition
Jun 17, 2015Stade Malien Bamako(away)0-2Première Division
Jun 1, 2015Sabana(away)1-0Première Division
May 27, 2015Onze Créateurs(away)0-1Première Division
May 24, 2015Mamahira(home)2-1Première Division
May 7, 2015Stade Malien Bamako(home)0-1Première Division
AS Bamako
DateOpponentScoreCompetition
Jun 8, 2015Police(away)0-1Première Division
Jun 5, 2015Réal Bamako(home)0-0Première Division
May 28, 2015USFAS Bamako(away)0-2Première Division
May 24, 2015Stade Malien Bamako(home)0-1Première Division
May 6, 2015Mamahira(home)0-2Première Division

What does the head-to-head say?

Across the last 6 meetings: 2 Nianan wins, 1 draw, 3 AS Bamako wins.

DateScoreCompetition
Jan 2, 2015Nianan 1-0 AS BamakoPremière Division
Jul 11, 2014AS Bamako 1-0 NiananPremière Division
Feb 9, 2014Nianan 0-0 AS BamakoPremière Division
Mar 11, 2013AS Bamako 4-1 NiananPremière Division
Nov 24, 2012Nianan 1-0 AS BamakoPremière Division
Jul 21, 2012Nianan 0-2 AS BamakoPremière Division

Last archived meeting: Nianan vs AS Bamako on Jan 2, 2015

How many goals should we expect?

Nianan score 0.7 and concede 1.4 goals per match over their last 15; AS Bamako score 0.3 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nianan0.71.434/154/15
AS Bamako0.31.131/151/15

Over the last 15 matches in all competitions.

A question about Nianan vs AS Bamako?

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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