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1.7
Goals/avg
67%
Win
33%
Draw
45%
Possession
8.7
Shots/avg
7.3
On target
2.7
Corners/avg
15.0
Fouls/avg
1.3
Cards/avg
100%
Home win
50%
Away win
Card stats based on2026/2027·
(3 matches · 2-1-0)

Tru-Juice Fixtures & Results

1 / 1
Not Started
WaterhouseWaterhouse
Tru-JuiceTru-Juice
Full Time
Molynes UnitedMolynes United
0
Tru-JuiceTru-Juice
1
Full Time
Montego Bay UnitedMontego Bay United
0
Tru-JuiceTru-Juice
0
Full Time
Tru-JuiceTru-Juice
4
Mount Pleasant AcademyMount Pleasant Academy
0

Tru-Juice Premier League: all results & fixtures

2 matches

Premier League

Premier League

2026/2027
#TeamMWDLGFGAGDPForm
1
Tru-JuiceTru-Juice321050+57
2
Montego Bay UnitedMontego Bay United321030+37
3
WaterhouseWaterhouse220070+76
4
CavalierCavalier220053+26
14
Humble LionsHumble Lions3003112-110
Relegation
Shots
8.7per matchLatest 11
Last 3 matches
ShotsOn GoalCornersFouls
1M3M6M1YALL
13 Sept 2026 — 27 Sept 2026
High
14
Low
1
Total
26
Goals
5
Wins2
Draws1
Losses0
DateOpponentResultGoalsShotsOn GoalInsideFoulsCornersOffsidesSubsSaves
27 Sept
Molynes UnitedMolynes United0 - 11117—15————
20 Sept
Montego Bay UnitedMontego Bay United0 - 0011——————
13 Sept
Mount Pleasant AcademyMount Pleasant Academy4 - 041414——————

Squad

Players: 8Foreign: 0U-23: 0

Goalkeepers (2)

#PlayerAppGA
Carlye Holmes10-
Tafari Chambers00-

Defenders (4)

#PlayerAppGA
Gadail Irving10-
Chevoy Watkin00-
Damion Richard Binns00-
Lamard Neil00-

Midfielders (1)

#PlayerAppGA
Alex Marshall10-

Attackers (1)

#PlayerAppGA
Tyrone Mullings10-

Tru-Juice: season 2026/2027 in numbers

Form2W 1D 0LLast 3 league games

  1. Won4-0Mount Pleasant Academy
  2. Drew0-0@ Montego Bay United
  3. Won1-0@ Molynes United
2.33points per game7 of 9 possible points
1won the last gamecurrent run
1games in a row scoringconceded in 0 in a row

League table: #1 of 142W 1D 0L · 5 scored, 0 conceded

#TeamPGDPts
1Tru-Juice3+57
2Montego Bay United3+37
3Waterhouse2+76
4Cavalier2+26
5Racing United3+16
1.67goals scored per game#5 of 14 · league avg 1.42
0goals conceded per game#1 of 14 (fewest = #1)

How we calculate this