Match

Lys Sassandra vs Bouaké: result 3-1 and analysis

Ligue 1Regular Season - 12Kick-off on November 22, 2023 at 06:00 PM (UTC)Stade Robert Champroux, Abidjan

Lys Sassandra
3-1
Bouaké

Full time

What was the result of Lys Sassandra vs Bouaké?

Lys Sassandra won 3-1 on November 22, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Lys Sassandra have 2 wins, 6 draws and 7 defeats; Bouaké have 1, 5 and 9.

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

Lys Sassandra
DateOpponentScoreCompetition
Nov 18, 2023Abengourou(away)1-1Ligue 1
Nov 15, 2023ASEC Mimosas(home)0-1Ligue 1
Nov 12, 2023Denguélé(away)1-2Ligue 1
Nov 8, 2023AFAD(home)0-0Ligue 1
Nov 5, 2023Zoman(home)0-0Ligue 1
Bouaké
DateOpponentScoreCompetition
Nov 19, 2023Zoman(home)0-0Ligue 1
Nov 15, 2023Stella(away)0-0Ligue 1
Nov 12, 2023Stade d'Abidjan(home)2-2Ligue 1
Nov 8, 2023SOL(away)1-2Ligue 1
Nov 3, 2023Abengourou(away)0-2Ligue 1

What does the head-to-head say?

Across the last 6 meetings: 1 Lys Sassandra win, 2 draws, 3 Bouaké wins.

DateScoreCompetition
Jun 11, 2023Lys Sassandra 2-2 BouakéLigue 1
Dec 22, 2022Bouaké 1-1 Lys SassandraLigue 1
Jun 18, 2022Bouaké 1-2 Lys SassandraLigue 1
Feb 24, 2022Bouaké 1-0 Lys SassandraLigue 1
Feb 10, 2019Lys Sassandra 3-4 BouakéLigue 1
Sep 22, 2018Bouaké 2-1 Lys SassandraLigue 1

Last archived meeting: Lys Sassandra vs Bouaké on Jun 11, 2023

How many goals should we expect?

Lys Sassandra score 0.9 and concede 1.2 goals per match over their last 15; Bouaké score 0.7 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lys Sassandra0.91.239/157/15
Bouaké0.71.846/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
8Bouaké3102253

A question about Lys Sassandra vs Bouaké?

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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