Match

Montego Bay United vs Savannah: result 4-0 and analysis

Premier LeagueRegular Season - 11Kick-off on November 4, 2012 at 02:00 AM (UTC)Catherine Hall Sports Complex, Montego Bay

Montego Bay United
4-0
Savannah

Full time

What was the result of Montego Bay United vs Savannah?

Montego Bay United won 4-0 on November 4, 2012.

Goalscorers

  • 39′Lesly St. FleurMontego Bay United
  • 57′Owayne Omar GordonMontego Bay United
  • 78′Lesly St. FleurMontego Bay United
  • 86′Brian BrownMontego Bay United

What is the recent form of both teams?

Over their last 15 matches in all competitions, Montego Bay United have 7 wins, 2 draws and 6 defeats; Savannah have 3, 2 and 5.

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

Montego Bay United
DateOpponentScoreCompetition
Oct 28, 2012Arnett Gardens(home)1-0Premier League
Oct 21, 2012Sporting Central(away)1-0Premier League
Oct 14, 2012Waterhouse(home)0-0Premier League
Oct 7, 2012Cavalier(away)2-0Premier League
Oct 4, 2012Portmore United(home)1-2Premier League
Savannah
DateOpponentScoreCompetition
Oct 28, 2012Boys' Town(home)1-3Premier League
Oct 21, 2012Arnett Gardens(away)1-1Premier League
Oct 14, 2012Highgate United(home)0-1Premier League
Oct 8, 2012Sporting Central(away)0-3Premier League
Oct 3, 2012Humble Lions(home)1-2Premier League

How many goals should we expect?

Montego Bay United score 1.1 and concede 0.7 goals per match over their last 15; Savannah score 0.8 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Montego Bay United1.10.775/155/15
Savannah0.81.325/104/10

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 Savannah?

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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