Jeunesse Evolution vs USBM: result 1-0 and analysis
Division d'HonneurRegular Season - 10Kick-off on November 30, 2019 at 12:30 AM (UTC)
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What was the result of Jeunesse Evolution vs USBM?
Jeunesse Evolution won 1-0 on November 30, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Jeunesse Evolution have 5 wins, 2 draws and 2 defeats; USBM have 8, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | La Gauloise(away) | 1-1 | Division d'Honneur |
| Nov 10, 2019 | Moulien(home) | 2-0 | Division d'Honneur |
| Nov 6, 2019 | Moulien(away) | 2-0 | Coupe de France |
| Oct 31, 2019 | UNAR(away) | 0-0 | Division d'Honneur |
| Oct 19, 2019 | Arsenal(away) | 1-0 | Division d'Honneur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Stade Lamentinois(away) | 3-0 | Division d'Honneur |
| Nov 3, 2019 | Vieux-Habitants(home) | 1-1 | Division d'Honneur |
| Oct 20, 2019 | La Gauloise(away) | 3-1 | Division d'Honneur |
| Oct 6, 2019 | Moulien(home) | 2-0 | Division d'Honneur |
| Oct 3, 2019 | USR Sainte-Rose(home) | 1-1 | Division d'Honneur |
How many goals should we expect?
Jeunesse Evolution score 1.4 and concede 0.7 goals per match over their last 9; USBM score 2.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jeunesse Evolution | 1.4 | 0.7 | 5 | 3/9 | 3/9 |
| USBM | 2.1 | 0.8 | 6 | 8/15 | 7/15 |
Over the last 9 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 USBM sit 11th (43 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Jeunesse Evolution | 24 | 9 | 5 | 10 | 30 | 33 | 56 |
| 11 | USBM | 24 | 5 | 4 | 15 | 22 | 55 | 43 |
A question about Jeunesse Evolution vs USBM?
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