Match

Arsenal vs USBM: result 1-0 and analysis

Division d'HonneurRegular Season - 6Kick-off on October 28, 2017 at 07:30 PM (UTC)

Arsenal
1-0
USBM

Full time

What was the result of Arsenal vs USBM?

Arsenal won 1-0 on October 28, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Arsenal have 4 wins, 3 draws and 8 defeats; USBM have 5, 5 and 5.

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

Arsenal
DateOpponentScoreCompetition
Oct 21, 2017Capesterre Bell(away)2-0Division d'Honneur
Oct 14, 2017Racing Club(away)0-1Division d'Honneur
Oct 1, 2017Siroco Les Abymes(home)1-0Division d'Honneur
Sep 17, 2017Etoile de Morne-à-l'Eau(away)2-2Division d'Honneur
Sep 3, 2017Gourbeyre(home)0-0Division d'Honneur
USBM
DateOpponentScoreCompetition
Oct 14, 2017Etoile de Morne-à-l'Eau(home)2-1Division d'Honneur
Oct 1, 2017Gourbeyre(away)1-2Division d'Honneur
Sep 17, 2017Moulien(away)1-0Division d'Honneur
Sep 3, 2017Juventus Sainte-Anne(home)1-2Division d'Honneur
Jun 8, 2017Gourbeyre(away)1-0Division d'Honneur

What does the head-to-head say?

Across the last 6 meetings: 2 Arsenal wins, 2 draws, 2 USBM wins.

DateScoreCompetition
May 21, 2017USBM 2-1 ArsenalDivision d'Honneur
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: USBM vs Arsenal on May 21, 2017

How many goals should we expect?

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

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Arsenal0.91.146/155/15
USBM0.91.149/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
11USBM245415225543

A question about Arsenal 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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