Match

Jeunesse Evolution vs Etoile de Morne-à-l'Eau: result 1-1 and analysis

Division d'HonneurRegular Season - 8Kick-off on February 27, 2022 at 12:00 AM (UTC)

Jeunesse Evolution
1-1
Etoile de Morne-à-l'Eau

Full time

What was the result of Jeunesse Evolution vs Etoile de Morne-à-l'Eau?

Jeunesse Evolution and Etoile de Morne-à-l'Eau drew 1-1 on February 27, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Jeunesse Evolution have 5 wins, 8 draws and 2 defeats; Etoile de Morne-à-l'Eau have 4, 4 and 7.

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

Jeunesse Evolution
DateOpponentScoreCompetition
Feb 19, 2022Sporting Baie-Mahault(away)1-1Division d'Honneur
Feb 12, 2022Stade Lamentinois(home)1-1Division d'Honneur
Feb 5, 2022Phare du Canal(away)0-4Division d'Honneur
Jan 29, 2022Red Star(away)2-1Division d'Honneur
Jan 16, 2022La Gauloise(away)1-1Division d'Honneur
Etoile de Morne-à-l'Eau
DateOpponentScoreCompetition
Feb 19, 2022Red Star(home)2-2Division d'Honneur
Feb 12, 2022Juventus Sainte-Anne(away)1-0Division d'Honneur
Feb 5, 2022La Gauloise(home)4-2Division d'Honneur
Jan 22, 2022Amical Club(home)0-0Division d'Honneur
Jan 8, 2022Sporting Baie-Mahault(away)3-2Division d'Honneur

How many goals should we expect?

Jeunesse Evolution score 1.1 and concede 1.0 goals per match over their last 15; Etoile de Morne-à-l'Eau score 1.1 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Jeunesse Evolution1.11.0310/154/15
Etoile de Morne-à-l'Eau1.11.747/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Jeunesse Evolution sit 8th in Division d'Honneur (56 points from 24 matches) and Etoile de Morne-à-l'Eau sit 6th (58 points from 24 matches).

2024-25 standings
#ClubPWDLGFGAPts
6Etoile de Morne-à-l'Eau241059382958
8Jeunesse Evolution249510303356

A question about Jeunesse Evolution vs Etoile de Morne-à-l'Eau?

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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