USCB vs Capesterre Bell: result 1-0 and analysis
Division d'HonneurRegular Season - 25Kick-off on May 21, 2017 at 08:00 PM (UTC)
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What was the result of USCB vs Capesterre Bell?
USCB won 1-0 on May 21, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, USCB have 3 wins, 4 draws and 8 defeats; Capesterre Bell have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Siroco Les Abymes(home) | 0-2 | Division d'Honneur |
| Apr 30, 2017 | USBM(away) | 1-1 | Division d'Honneur |
| Apr 23, 2017 | Moulien(home) | 0-0 | Division d'Honneur |
| Apr 13, 2017 | La Gauloise(away) | 2-0 | Division d'Honneur |
| Apr 2, 2017 | Gosier(home) | 1-1 | Division d'Honneur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Amical Club(away) | 1-1 | Division d'Honneur |
| May 4, 2017 | Red Star(away) | 2-3 | Division d'Honneur |
| Apr 30, 2017 | Siroco Les Abymes(home) | 3-1 | Division d'Honneur |
| Apr 9, 2017 | USBM(home) | 1-1 | Division d'Honneur |
| Apr 2, 2017 | Phare du Canal(away) | 1-2 | Division d'Honneur |
What does the head-to-head say?
In the last meeting: 0 USCB wins, 0 draws, 1 Capesterre Bell win.
| Date | Score | Competition |
|---|---|---|
| Jan 29, 2017 | Capesterre Bell 2-1 USCB | Division d'Honneur |
Last archived meeting: Capesterre Bell vs USCB on Jan 29, 2017
How many goals should we expect?
USCB score 0.9 and concede 1.5 goals per match over their last 15; Capesterre Bell score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USCB | 0.9 | 1.5 | 2 | 8/15 | 5/15 |
| Capesterre Bell | 1.3 | 1.0 | 5 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about USCB vs Capesterre Bell?
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