Predictions / Football / University of Johannesburg W

University of Johannesburg W Predictions & Analysis

Market Movements
Balanced Team

AI Betting Profile

No dominant betting trend identified for University of Johannesburg W across recent matches. Over/Under, BTTS and win distributions remain broadly balanced (Under 50%, Over 50%, BTTS 50%). Match-specific factors are likely more important than historical trend signals.

Explore University of Johannesburg W's predicted performance, expert insights, and statistical breakdowns for their upcoming matches in the season.

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Current Form
L L W
Win Rate
33%
Record (Last 10)
1W 0D 2L

Upcoming Predictions (1)

Upcoming University of Johannesburg W Matches

South-Africa South-Africa. Super League Women (1)
xG
09:00
University of Johannesburg W
36% 30% 34% PREDICTION
Tshwane University W
1.32 : 1.28
xG:
1.32 : 1.28

Recent Results & Statistics for University of Johannesburg W (3)

Date
League
Match
Outcome
Sep 19
L
Super League Women Super League Women
Super League Women
University of Johannesburg W
University of Fort Hare W
1-2
O/U✖ BTTS✔ 1X2✖ CS✔
Sep 13
L
Super League Women Super League Women
Super League Women
Ezemvelo W
University of Johannesburg W
2-1
O/U✖ BTTS✔ 1X2✔ CS✔
Sep 06
W
Super League Women Super League Women
Super League Women
University of Johannesburg W
Ramatlaohle W
1-0
O/U✔ BTTS✖ 1X2✔ CS✔

University of Johannesburg W Stats & Trends

All figures below are based on the last 10 completed matches.

Performance Stats

Goals Scored 3
Goals Conceded 4
Avg. Goals Scored 1.0
Avg. Goals Conceded 1.3

Form Analysis

Matches Played 3
Wins 1
Draws 0
Losses 2
Win Rate 33%
Home (2) 1W 0D 1L
Away (1) 0W 0D 1L

Match Trends

Insufficient match data

AI Prediction Record

Forecast Reliability Reliable Model correctly called 2/3 outcomes (1X2) in recent matches. Model has tracked this team well in recent fixtures.
1X2 Prediction Accuracy 67% (2/3)
Over 2.5 Prediction Accuracy 33%
BTTS Prediction Accuracy 67%
Correct Score Prediction Accuracy 100%

AI Model Insight

Prediction Accuracy Explained

Our AI model correctly predicted 2 out of 3 recent University of Johannesburg W matches, achieving a 67% accuracy rate. This moderate accuracy reflects the inherent unpredictability of match outcomes.

Overall Accuracy 67%

Attacking Trends

University of Johannesburg W average 1.0 goals per game across the last 3 matches. Their attacking output is at a moderate level.

Goals/Game 1.0

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