Match

Montego Bay United vs Barbican: result 0-0 and analysis

Premier LeagueRegular Season - 17Kick-off on January 4, 2015 at 08:00 PM (UTC)Catherine Hall Sports Complex, Montego Bay

Montego Bay United
0-0
Barbican

Full time

What was the result of Montego Bay United vs Barbican?

Montego Bay United and Barbican drew 0-0 on January 4, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Montego Bay United have 10 wins, 1 draw and 4 defeats; Barbican have 3, 4 and 8.

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

Montego Bay United
DateOpponentScoreCompetition
Dec 28, 2014Sporting Central(away)1-0Premier League
Dec 21, 2014Cavalier(home)1-0Premier League
Dec 14, 2014Boys' Town(away)1-1Premier League
Dec 11, 2014Waterhouse(home)1-0Premier League
Dec 7, 2014Reno(away)3-2Premier League
Barbican
DateOpponentScoreCompetition
Dec 28, 2014Rivoli United(home)0-2Premier League
Dec 21, 2014Sporting Central(home)0-2Premier League
Dec 16, 2014Cavalier(away)0-0Premier League
Dec 11, 2014Boys' Town(home)2-1Premier League
Dec 9, 2014Waterhouse(away)1-2Premier League

What does the head-to-head say?

In the last meeting: 1 Montego Bay United win, 0 draws, 0 Barbican wins.

DateScoreCompetition
Oct 12, 2014Barbican 0-2 Montego Bay UnitedPremier League

Last archived meeting: Barbican vs Montego Bay United on Oct 12, 2014

How many goals should we expect?

Montego Bay United score 1.7 and concede 0.7 goals per match over their last 15; Barbican score 0.7 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Montego Bay United1.70.784/157/15
Barbican0.71.645/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
4Montego Bay United843112715

A question about Montego Bay United vs Barbican?

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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