USCB vs Juventus Sainte-Anne: result 1-3 and analysis
Division d'HonneurRegular Season - 13Kick-off on February 5, 2017 at 12:00 AM (UTC)
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What was the result of USCB vs Juventus Sainte-Anne?
Juventus Sainte-Anne won 1-3 on February 5, 2017.
What is the recent form of both teams?
Over their last 11 matches in all competitions, USCB have 1 win, 4 draws and 6 defeats; Juventus Sainte-Anne have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2017 | Capesterre Bell(away) | 1-2 | Division d'Honneur |
| Jan 22, 2017 | USBM(home) | 1-1 | Division d'Honneur |
| Jan 15, 2017 | Siroco Les Abymes(away) | 1-1 | Division d'Honneur |
| Dec 18, 2016 | Moulien(away) | 0-1 | Division d'Honneur |
| Dec 11, 2016 | La Gauloise(home) | 0-5 | Division d'Honneur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2017 | Siroco Les Abymes(home) | 2-0 | Division d'Honneur |
| Jan 22, 2017 | Moulien(home) | 1-2 | Division d'Honneur |
| Jan 15, 2017 | USBM(away) | 1-3 | Division d'Honneur |
| Dec 18, 2016 | La Gauloise(away) | 2-3 | Division d'Honneur |
| Dec 11, 2016 | Gosier(home) | 2-1 | Division d'Honneur |
How many goals should we expect?
USCB score 0.6 and concede 1.7 goals per match over their last 11; Juventus Sainte-Anne score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USCB | 0.6 | 1.7 | 1 | 5/11 | 4/11 |
| Juventus Sainte-Anne | 0.9 | 1.3 | 5 | 7/15 | 7/15 |
Over the last 11 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 USCB 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