Match

Racing d'Abidjan vs Stella: result 2-1 and analysis

Ligue 1Regular Season - 24Kick-off on April 15, 2023 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan

Racing d'Abidjan
2-1
Stella

Full time

What was the result of Racing d'Abidjan vs Stella?

Racing d'Abidjan won 2-1 on April 15, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Racing d'Abidjan have 6 wins, 6 draws and 3 defeats; Stella have 5, 4 and 6.

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

Racing d'Abidjan
DateOpponentScoreCompetition
Apr 8, 2023Sporting Gagnoa(away)2-2Ligue 1
Mar 19, 2023Lys Sassandra(home)1-1Ligue 1
Mar 13, 2023ASEC Mimosas(home)1-1Ligue 1
Mar 5, 2023SOL(home)3-1Ligue 1
Mar 2, 2023AFAD(home)1-1Ligue 1
Stella
DateOpponentScoreCompetition
Apr 7, 2023AFAD(home)1-0Ligue 1
Mar 17, 2023Bassam(away)1-0Ligue 1
Mar 11, 2023SOA(home)0-1Ligue 1
Mar 5, 2023ES Bafing(away)3-1Ligue 1
Mar 1, 2023San-Pédro(home)3-0Ligue 1

What does the head-to-head say?

Across the last 5 meetings: 3 Racing d'Abidjan wins, 1 draw, 1 Stella win.

DateScoreCompetition
Nov 19, 2022Stella 1-2 Racing d'AbidjanLigue 1
Mar 28, 2022Stella 0-2 Racing d'AbidjanLigue 1
Nov 29, 2021Racing d'Abidjan 1-2 StellaLigue 1
May 9, 2021Stella 0-0 Racing d'AbidjanLigue 1
Apr 3, 2021Racing d'Abidjan 3-1 StellaLigue 1

Last archived meeting: Stella vs Racing d'Abidjan on Nov 19, 2022

How many goals should we expect?

Racing d'Abidjan score 1.7 and concede 1.3 goals per match over their last 15; Stella score 0.9 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Racing d'Abidjan1.71.3211/158/15
Stella0.90.946/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
12Stella3021232

A question about Racing d'Abidjan vs Stella?

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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