Statistics / Football / South-Africa. 1st Division

South-Africa South-Africa 1st Division Statistics (41)

Predictions

1st Division 2025/26 Season Overview

08-22
100%
05-17
  • League goals trend: Average goals per match 2.15
  • Home win rate: About 44%
  • Away win rate: About 21%
  • BTTS rate (both teams to score): About 44%
  • Over 2.5 average hit rate: About 39%
  • Most attacking teams: Kruger United
  • Best defensive teams: Hungry Lions
May 17
13:00
Venda FC Venda FC
Highbury Highbury
72%
May 17
13:00
Casric Stars Casric Stars
Gomora United FC Gomora United FC
61%
May 17
13:00
Kruger United Kruger United
The Bees The Bees
70%
May 17
13:00
Lerumo Lions Lerumo Lions
Black Leopards Black Leopards
35%
May 17
13:00
Baroka FC Baroka FC
Upington City Upington City
48%
May 17
13:00
Leicesterfield Leicesterfield
Cape Town City Cape Town City
40%
May 17
13:00
Hungry Lions Hungry Lions
Milford FC Milford FC
48%
May 17
13:00
University of Pretoria University of Pretoria
Midlands Wanderers Midlands Wanderers
23%
May 10
13:00
Upington City Upington City
Casric Stars Casric Stars
55%
May 10
13:00
Gomora United FC Gomora United FC
Kruger United Kruger United
63%
May 10
13:00
Midlands Wanderers Midlands Wanderers
Lerumo Lions Lerumo Lions
82%
May 10
13:00
The Bees The Bees
Leicesterfield Leicesterfield
80%
May 10
13:00
Black Leopards Black Leopards
Venda FC Venda FC
80%
May 10
13:00
Cape Town City Cape Town City
Baroka FC Baroka FC
63%
May 10
13:00
Highbury Highbury
Hungry Lions Hungry Lions
32%
May 10
13:00
Milford FC Milford FC
University of Pretoria University of Pretoria
61%
May 03
13:00
Venda FC Venda FC
Leicesterfield Leicesterfield
61%
May 03
13:00
Cape Town City Cape Town City
Gomora United FC Gomora United FC
35%
May 02
13:00
Milford FC Milford FC
The Bees The Bees
48%
May 02
13:00
Kruger United Kruger United
Black Leopards Black Leopards
48%
May 02
13:00
Hungry Lions Hungry Lions
Upington City Upington City
48%
May 02
13:00
University of Pretoria University of Pretoria
Lerumo Lions Lerumo Lions
48%
May 01
13:00
Highbury Highbury
Midlands Wanderers Midlands Wanderers
48%
May 01
13:00
Casric Stars Casric Stars
Baroka FC Baroka FC
48%
Apr 26
13:00
Midlands Wanderers Midlands Wanderers
Venda FC Venda FC
63%
Apr 26
13:00
Baroka FC Baroka FC
Kruger United Kruger United
42%
Apr 26
13:00
Gomora United FC Gomora United FC
Hungry Lions Hungry Lions
80%
Apr 25
13:00
Leicesterfield Leicesterfield
Casric Stars Casric Stars
80%
Apr 25
13:00
Lerumo Lions Lerumo Lions
Highbury Highbury
63%
Apr 25
13:00
Black Leopards Black Leopards
Milford FC Milford FC
63%
Apr 25
13:00
The Bees The Bees
Cape Town City Cape Town City
48%
Apr 25
13:00
Upington City Upington City
University of Pretoria University of Pretoria
70%
Apr 22
13:00
Venda FC Venda FC
Milford FC Milford FC
63%
Apr 22
13:00
Leicesterfield Leicesterfield
Lerumo Lions Lerumo Lions
48%
Apr 22
13:00
Baroka FC Baroka FC
Gomora United FC Gomora United FC
82%
Apr 22
13:00
Kruger United Kruger United
Cape Town City Cape Town City
80%
Apr 22
13:00
Hungry Lions Hungry Lions
University of Pretoria University of Pretoria
40%
Apr 21
13:00
Casric Stars Casric Stars
Highbury Highbury
46%
Apr 21
13:00
Midlands Wanderers Midlands Wanderers
Upington City Upington City
80%
Apr 21
13:00
Black Leopards Black Leopards
The Bees The Bees
48%
Apr 19
13:00
Lerumo Lions Lerumo Lions
Baroka FC Baroka FC
61%

South-Africa 1st Division Betting & Prediction Guides

Want to understand how AI identifies value in South-Africa 1st Division matches? Explore our strategy guides:

1st Division Predictions FAQ

Q1: What defines the probability structure and upset patterns in the South-Africa 1st Division for the 2025/26 season?
The South-Africa 1st Division 2025/26 is defined by a massive home-away disparity that exceeds most European top flights. With a 47% home win rate against a meager 22% for visitors, the league’s probability structure is heavily weighted toward local dominance. This 25% gap creates a predictable hierarchy where travel fatigue and altitude often stifle away performance, making the home side a formidable statistical favorite in nearly half of all fixtures.

Upsets are relatively rare because the away win rate is so suppressed compared to more balanced leagues. While probability never guarantees a result, the data suggests that backing visitors is statistically risky. Success depends on identifying when a home side's 47% win probability is undervalued. Remember, risk management is essential as even strong home trends can fail; probability is not certainty.
Q2: How does the Over/Under and BTTS structure in the South-Africa 1st Division 2025/26 differ from other leagues?
Unlike the high-scoring Eredivisie, the South-Africa 1st Division 2025/26 is structurally one of the most defensive environments in global football. A low average of 2.15 goals per game signals a league where tactical caution prevails over expansive play. This is further evidenced by an Over 2.5 rate of just 37%, meaning nearly two-thirds of matches stay under the three-goal threshold, a stark contrast to typical high-octane competitions.

The 45% BTTS rate confirms a "clean sheet" culture where at least one side often fails to find the net. Analytical approaches should prioritize defensive stability when assessing these goal markets. While these patterns are consistent across the season, probability is not certainty; maintaining strict risk management is vital when navigating such low-scoring statistical profiles.
Q3: How does the specific data profile of the South-Africa 1st Division 2025/26 shape its odds structure and analytical edges?
The South-Africa 1st Division 2025/26 features a significant home-away gap of 25%, which often inflates away odds beyond their true probability. Because the Over 2.5 rate sits at a low 37%, odds on "Under" outcomes are frequently compressed, forcing analysts to look for value in specific team matchups where defensive lapses occur. The sub-50% BTTS rate further tightens the "No" market, making it the statistical baseline for this competition.

Edges are found by identifying outliers that defy the league’s 2.15 goals-per-game average. When two high-pressing teams meet, the odds may over-correct based on the league's low-scoring reputation. However, since probability ≠ certainty, success requires focusing on long-term EV rather than individual match outcomes. Always apply rigorous risk management to protect your bankroll.
Leagues Country / Leagues