Match

Nianan vs Bougouni: result 5-1 and analysis

Première DivisionRegular Season - 13Kick-off on June 18, 2017 at 04:30 PM (UTC)Stade Mamadou Diarra H. de Koulikoro, Koulikoro

Nianan
5-1
Bougouni

Full time

What was the result of Nianan vs Bougouni?

Nianan won 5-1 on June 18, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Nianan have 3 wins, 4 draws and 8 defeats; Bougouni have 5, 3 and 7.

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

Nianan
DateOpponentScoreCompetition
Jun 6, 2017CSK(away)1-4Première Division
May 28, 2017ASOM(away)0-2Première Division
May 24, 2017COB(home)1-2Première Division
May 21, 2017Mamahira(away)2-2Première Division
May 17, 2017AS Bamako(home)0-1Première Division
Bougouni
DateOpponentScoreCompetition
Jun 4, 2017Bakaridjan(home)1-0Première Division
May 28, 2017Djoliba(away)0-3Première Division
May 25, 2017ASOM(home)3-3Première Division
May 21, 2017Duguwolofila(home)2-1Première Division
May 17, 2017Soni(away)0-2Première Division

What does the head-to-head say?

Across the last 2 meetings: 1 Nianan win, 0 draws, 1 Bougouni win.

DateScoreCompetition
Aug 23, 2016Bougouni 0-1 NiananPremière Division
May 1, 2016Nianan 1-4 BougouniPremière Division

Last archived meeting: Bougouni vs Nianan on Aug 23, 2016

How many goals should we expect?

Nianan score 0.5 and concede 1.5 goals per match over their last 15; Bougouni score 0.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nianan0.51.554/155/15
Bougouni0.71.153/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
14Bougouni264418124316

A question about Nianan vs Bougouni?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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

Other matches in the same round

Ready to know everything about football?