Match

USBM vs Arsenal: result 2-1 and analysis

Division d'HonneurRegular Season - 25Kick-off on May 21, 2017 at 08:00 PM (UTC)

USBM
2-1
Arsenal

Full time

What was the result of USBM vs Arsenal?

USBM won 2-1 on May 21, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, USBM have 3 wins, 7 draws and 5 defeats; Arsenal have 6, 3 and 6.

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

USBM
DateOpponentScoreCompetition
May 7, 2017Juventus Sainte-Anne(away)2-1Division d'Honneur
Apr 30, 2017USCB(home)1-1Division d'Honneur
Apr 22, 2017Siroco Les Abymes(away)1-4Division d'Honneur
Apr 9, 2017Capesterre Bell(away)1-1Division d'Honneur
Apr 2, 2017Moulien(home)1-1Division d'Honneur
Arsenal
DateOpponentScoreCompetition
May 7, 2017Moulien(home)0-2Division d'Honneur
Apr 30, 2017La Gauloise(away)0-1Division d'Honneur
Apr 23, 2017Gosier(home)2-0Division d'Honneur
Apr 8, 2017USR Sainte-Rose(away)1-2Division d'Honneur
Apr 2, 2017Amical Club(home)0-1Division d'Honneur

What does the head-to-head say?

Across the last 5 meetings: 1 USBM win, 2 draws, 2 Arsenal wins.

DateScoreCompetition
Jan 28, 2017Arsenal 1-0 USBMDivision d'Honneur
Feb 20, 2016USBM 0-0 ArsenalDivision d'Honneur
Oct 3, 2015Arsenal 0-1 USBMDivision d'Honneur
Apr 12, 2015Arsenal 1-0 USBMDivision d'Honneur
Nov 30, 2014USBM 2-2 ArsenalDivision d'Honneur

Last archived meeting: Arsenal vs USBM on Jan 28, 2017

How many goals should we expect?

USBM score 0.7 and concede 0.9 goals per match over their last 15; Arsenal score 1.1 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
USBM0.70.956/153/15
Arsenal1.11.047/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
11USBM245415225543

A question about USBM vs Arsenal?

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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