Match

Capesterre Bell vs USBM: result 2-5 and analysis

Division d'HonneurRegular Season - 9Kick-off on November 25, 2017 at 07:30 PM (UTC)

Capesterre Bell
2-5
USBM

Full time

What was the result of Capesterre Bell vs USBM?

USBM won 2-5 on November 25, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Capesterre Bell have 2 wins, 3 draws and 10 defeats; USBM have 6, 3 and 6.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Capesterre Bell
DateOpponentScoreCompetition
Nov 18, 2017Moulien(away)3-3Division d'Honneur
Nov 4, 2017Racing Club(home)0-3Division d'Honneur
Oct 28, 2017Juventus Sainte-Anne(away)1-4Division d'Honneur
Oct 21, 2017Arsenal(home)0-2Division d'Honneur
Oct 15, 2017Siroco Les Abymes(home)2-1Division d'Honneur
USBM
DateOpponentScoreCompetition
Nov 18, 2017Racing Club(away)0-1Division d'Honneur
Nov 11, 2017Solidarité Scolaire(home)1-2Division d'Honneur
Nov 5, 2017Siroco Les Abymes(home)3-0Division d'Honneur
Oct 28, 2017Arsenal(away)0-1Division d'Honneur
Oct 14, 2017Etoile de Morne-à-l'Eau(home)2-1Division d'Honneur

What does the head-to-head say?

Across the last 4 meetings: 0 Capesterre Bell wins, 2 draws, 2 USBM wins.

DateScoreCompetition
Apr 9, 2017Capesterre Bell 1-1 USBMDivision d'Honneur
Dec 11, 2016USBM 2-0 Capesterre BellDivision d'Honneur
Apr 6, 2014Capesterre Bell 0-0 USBMDivision d'Honneur
Nov 30, 2013USBM 4-1 Capesterre BellDivision d'Honneur

Last archived meeting: Capesterre Bell vs USBM on Apr 9, 2017

How many goals should we expect?

Capesterre Bell score 1.3 and concede 2.7 goals per match over their last 15; USBM score 1.2 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Capesterre Bell1.32.7011/1511/15
USBM1.21.2310/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
11USBM245415225543

A question about Capesterre Bell 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

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