Evolucas Lamentin vs Juventus Sainte-Anne: result 2-1 and analysis
Division d'HonneurMatchday 8Kick-off on December 4, 2011 at 12:00 AM (UTC)
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What was the result of Evolucas Lamentin vs Juventus Sainte-Anne?
Evolucas Lamentin won 2-1 on December 4, 2011.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Evolucas Lamentin have 1 win, 3 draws and 2 defeats; Juventus Sainte-Anne have 1, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2011 | Moulien(away) | 2-0 | Division d'Honneur |
| Nov 20, 2011 | Avranches(home) | 0-5 | Coupe de France |
| Nov 10, 2011 | Racing Club(home) | 1-2 | Division d'Honneur |
| Oct 23, 2011 | Siroco Les Abymes(away) | 1-1 | Division d'Honneur |
| Oct 16, 2011 | Etoile de Morne-à-l'Eau(home) | 1-1 | Division d'Honneur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2011 | Vieux-Habitants(home) | 1-1 | Division d'Honneur |
| Nov 10, 2011 | Stade Lamentinois(home) | 1-1 | Division d'Honneur |
| Oct 29, 2011 | Phare du Canal(away) | 1-2 | Division d'Honneur |
| Oct 23, 2011 | Moulien(away) | 1-0 | Division d'Honneur |
| Oct 16, 2011 | Racing Club(home) | 0-0 | Division d'Honneur |
How many goals should we expect?
Evolucas Lamentin score 0.8 and concede 1.5 goals per match over their last 6; Juventus Sainte-Anne score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Evolucas Lamentin | 0.8 | 1.5 | 2 | 3/6 | 2/6 |
| Juventus Sainte-Anne | 0.7 | 0.7 | 3 | 3/6 | 1/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Juventus Sainte-Anne | 27 | 3 | 5 | 19 | 26 | 71 | 41 |
A question about Evolucas Lamentin vs Juventus Sainte-Anne?
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