USBM vs USCB: result 1-1 and analysis
Division d'HonneurRegular Season - 23Kick-off on April 30, 2017 at 12:00 AM (UTC)
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What was the result of USBM vs USCB?
USBM and USCB drew 1-1 on April 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, USBM have 4 wins, 6 draws and 5 defeats; USCB have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Siroco Les Abymes(away) | 1-4 | Division d'Honneur |
| Apr 9, 2017 | Capesterre Bell(away) | 1-1 | Division d'Honneur |
| Apr 2, 2017 | Moulien(home) | 1-1 | Division d'Honneur |
| Mar 26, 2017 | La Gauloise(away) | 0-0 | Division d'Honneur |
| Mar 19, 2017 | Gosier(home) | 0-1 | Division d'Honneur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 25, 2017 | USR Sainte-Rose(away) | 0-1 | Division d'Honneur |
| Mar 19, 2017 | Amical Club(home) | 2-1 | Division d'Honneur |
What does the head-to-head say?
In the last meeting: 0 USBM wins, 1 draw, 0 USCB wins.
| Date | Score | Competition |
|---|---|---|
| Jan 22, 2017 | USCB 1-1 USBM | Division d'Honneur |
How many goals should we expect?
USBM score 0.9 and concede 0.9 goals per match over their last 15; USCB score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| USBM | 0.9 | 0.9 | 5 | 6/15 | 4/15 |
| USCB | 0.9 | 1.4 | 2 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | USBM | 24 | 5 | 4 | 15 | 22 | 55 | 43 |
A question about USBM vs USCB?
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