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10/10Orlando Pirates scored first in 10 of 10 recent matches with goal times (league 42%).
Premier League South Africa Predictions & Stats
Free AI predictions for every upcoming Premier League South Africa match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 7 November 2026.
Premier League Predictions by Market
Full-Time Result
43%
SUCCESS RATE AVG.
Both Teams To Score
56%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
71%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
80%
SUCCESS RATE AVG.
First Half Result
62%
SUCCESS RATE AVG.
Correct Score
12%
SUCCESS RATE AVG.
Premier League current prediction accuracy over the last 100 matches: 1X2 43%, BTTS 56%, Over/Under 2.5 71%, Over/Under 3.5 80%, correct score 12%.
Premier League South Africa stats: goals, BTTS, corners and cards vs other leagues
How this competition ranks among the leagues and cups we cover for goals, chances (xG), corners and cards.
How to read it
last 12 months · 220 matchesrank 1 = highest of 63 competitionsTight and cageyDraws aplenty
Goals a match
2.13
60th of 63
xG a match
2.42
56th of 62
Corners a match
Cards a match
Calculated by MyGameOdds · xG: our own model
How it works
We use the league's matches from the last 12 months, without qualifying rounds, and rank it against the 63 leagues and club competitions with 50 or more matches in that time (1 = highest). A label marks a league in the top fifth on goals, home or away wins, draws, cards or corners, or in the bottom fifth on goals. xG is our estimate of each match's chances from its shots.
Premier League South Africa: the stats that stand out
The Premier League South Africa teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 games10/10Goals at both ends
9/10Richards Bay: both teams scored in 9 of their last 10 (league 41%).
Always on the scoresheet
0/10Mamelodi Sundowns scored in all of their last 10 (league 37% fail to score).
Always chasing
7/10Durban City conceded first in 7 of 10 recent matches with goal times (league 42%).
Leaky
1/10Siwelele kept only 1 clean sheet in their last 10 (league 37%).
Low-scoring
1/10Golden Arrows games went over 2.5 goals in only 1 of their last 10 (league 33%).
Calculated by MyGameOdds
How it works
For each stat we show the club that stands out most, one club per stat. A fact needs at least 6 games and a result far enough from the league average to be unusual (at least one standard deviation).
How we measure →No upcoming football predictions for Premier League South Africa
There are currently no upcoming matches scheduled in the Premier League. Our football predictions for this league will resume as soon as new fixtures are available. Check back shortly for the latest match forecasts and betting insights.
Premier League South Africa xG: chances created and allowed
Every Premier League South Africa team's chances created and allowed a game, measured with our own xG.
How to read it
each logo is a team · tap one for detailseach logo is a team · hover one for detailsPremier League South Africa average · 1.20 xG, 1.20 xGAlast 10 games eachTap a logo to see the team's numbers
↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
Teams by box· 16
Good attack, good defence
Good attack, weak defence
Weak attack, good defence
Weak attack, weak defence
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Premier League South Africa Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in Premier League South Africa this season (thick bar) and in the last 30 days (thin bar), next to what the bookmakers’ closing odds expected. The last 30 days cover fewer matches, so their normal range is wider and big swings there are still normal. This is not our prediction accuracy.
How to read it
what the closing odds expectednormal range: chance alone lands here 19 times in 20gap to the odds, in percentage pointsgap outside the normal rangethick bar: Season · thin bar: 30 days
Result · happened
◀ fewer −30◀ fewer than expected · −30 pts odds expected+30 more ▶+30 pts · more than expected ▶
Verdict
Home wins
73 matches
37.0%
Season (73) · 37.0% vs 40.1%
Season
−3.1
±10.5
30 days (16) · 56.3% vs 45.9%
30 days
+10.4
±23.2
Draws
73 matches
34.2%
Season (73) · 34.2% vs 28.1%
Season
+6.2
±10.2
30 days (16) · 12.5% vs 27.3%
30 days
−14.8
±21.6
Away wins
73 matches
28.8%
Season (73) · 28.8% vs 31.8%
Season
−3.1
±9.9
30 days (16) · 31.3% vs 26.9%
30 days
+4.4
±20.5
Over 2.5 goals
73 matches
37.0%
Season (73) · 37.0% vs 39.0%
Season
−2.0
±11.1
30 days (16) · 50.0% vs 41.2%
30 days
+8.8
±23.9
Both teams scored
73 matches
46.6%
Season (73) · 46.6% vs 40.1%
Season
+6.5
±11.2
30 days (16) · 50.0% vs 40.5%
30 days
+9.5
±23.9
Show more markets (6)Show fewer markets
Over 3.5 goals
73 matches
23.3%
Season (73) · 23.3% vs 19.7%
Season
+3.6
±9.0
30 days (16) · 25.0% vs 21.2%
30 days
+3.8
±19.9
Home side ahead at half-time
73 matches
30.1%
Season (73) · 30.1% vs 29.6%
Season
+0.5
±10.1
30 days (16) · 37.5% vs 33.7%
30 days
+3.8
±22.5
Level at half-time
73 matches
52.1%
Season (73) · 52.1% vs 46.2%
Season
+5.9
±11.4
30 days (16) · 43.8% vs 45.4%
30 days
−1.7
±24.3
Away side ahead at half-time
73 matches
17.8%
Season (73) · 17.8% vs 24.2%
Season
−6.4
±9.5
30 days (16) · 18.8% vs 20.9%
30 days
−2.2
±19.3
Home team scored 2+
73 matches
37.0%
Season (73) · 37.0% vs 33.1%
Season
+3.9
±10.3
30 days (16) · 37.5% vs 38.6%
30 days
−1.1
±23.0
Away team scored 2+
73 matches
28.8%
Season (73) · 28.8% vs 27.0%
Season
+1.8
±9.7
30 days (16) · 25.0% vs 23.9%
30 days
+1.1
±19.9
Shows what happened, not what comes next. Closing odds from one bookmaker per match, bookmaker margin removed. Updated daily.
Show as a tableHide the table
| Result | Period | Matches | Happened | Odds expected | Gap (pts) | Normal range (± pts) | Verdict |
|---|---|---|---|---|---|---|---|
| Home wins | Season | 73 | 37.0% | 40.1% | −3.1 | ±10.5 | Normal range |
| Home wins | 30 days | 16 | 56.3% | 45.9% | +10.4 | ±23.2 | Normal range |
| Draws | Season | 73 | 34.2% | 28.1% | +6.2 | ±10.2 | Normal range |
| Draws | 30 days | 16 | 12.5% | 27.3% | −14.8 | ±21.6 | Normal range |
| Away wins | Season | 73 | 28.8% | 31.8% | −3.1 | ±9.9 | Normal range |
| Away wins | 30 days | 16 | 31.3% | 26.9% | +4.4 | ±20.5 | Normal range |
| Over 2.5 goals | Season | 73 | 37.0% | 39.0% | −2.0 | ±11.1 | Normal range |
| Over 2.5 goals | 30 days | 16 | 50.0% | 41.2% | +8.8 | ±23.9 | Normal range |
| Both teams scored | Season | 73 | 46.6% | 40.1% | +6.5 | ±11.2 | Normal range |
| Both teams scored | 30 days | 16 | 50.0% | 40.5% | +9.5 | ±23.9 | Normal range |
| Over 3.5 goals | Season | 73 | 23.3% | 19.7% | +3.6 | ±9.0 | Normal range |
| Over 3.5 goals | 30 days | 16 | 25.0% | 21.2% | +3.8 | ±19.9 | Normal range |
| Home side ahead at half-time | Season | 73 | 30.1% | 29.6% | +0.5 | ±10.1 | Normal range |
| Home side ahead at half-time | 30 days | 16 | 37.5% | 33.7% | +3.8 | ±22.5 | Normal range |
| Level at half-time | Season | 73 | 52.1% | 46.2% | +5.9 | ±11.4 | Normal range |
| Level at half-time | 30 days | 16 | 43.8% | 45.4% | −1.7 | ±24.3 | Normal range |
| Away side ahead at half-time | Season | 73 | 17.8% | 24.2% | −6.4 | ±9.5 | Normal range |
| Away side ahead at half-time | 30 days | 16 | 18.8% | 20.9% | −2.2 | ±19.3 | Normal range |
| Home team scored 2+ | Season | 73 | 37.0% | 33.1% | +3.9 | ±10.3 | Normal range |
| Home team scored 2+ | 30 days | 16 | 37.5% | 38.6% | −1.1 | ±23.0 | Normal range |
| Away team scored 2+ | Season | 73 | 28.8% | 27.0% | +1.8 | ±9.7 | Normal range |
| Away team scored 2+ | 30 days | 16 | 25.0% | 23.9% | +1.1 | ±19.9 | Normal range |
Premier League South Africa luck check: the last 10 games
Premier League South Africa teams taking more or fewer points than their chances usually bring, measured with our own xG.
How to read it
what their chances usually bringnormal range (±4)outside it+14.0 = 14 points more than their chances usually bringRiding their luck4
AmaZuluClinical · +5 goals+14.0
Chippa United+5.8- Orlando PiratesClinical · +4 goals+5.5
Milford+4.4
Unlucky4
- Richards Bay−5.3
Marumo Gallants FC−5.1- Durban CityWasteful · −4 goals−4.9
- Golden ArrowsWasteful · −7 goals−4.4
Points in line, but wasteful: Kruger United (−3 goals, 9 games). Clinical: Mamelodi Sundowns (+5).
In line with their chances: Sekhukhune United, Stellenbosch, TS Galaxy, Polokwane City, Kaizer Chiefs and Siwelele.
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
How we measure →Premier League South Africa last week: smash-and-grab wins and upsets
Smash-and-grab wins (the side with clearly fewer chances won) and upsets (results the closing odds gave under 20%) from the last 7 days.
How to read it
Oct 31–Nov 7 · 5 matches · odds: closing, margin removed
Calculated by MyGameOdds · xG: our own model
How it works
Smash-and-grab: the winner had at least 0.8 less xG than the loser (our xG, from shots). Upset: the result the closing odds gave under 20%, with the bookmaker margin removed. Across our leagues about 6% of matches are smash-and-grab wins and about 5% are upsets.
How we measure →Premier League South Africa Standings
Check the current league table, team positions, points, and form. Click to view complete standings with detailed statistics.
#TEAM | MP | PTS | W | D | L | G | GD | FORM |
|---|---|---|---|---|---|---|---|---|
1  Mamelodi Sundowns | 10 | 26 | 8 | 2 | 0 | 27:9 | +18 | W W D W W |
2  Orlando Pirates | 9 | 25 | 8 | 1 | 0 | 21:2 | +19 | W W W W W |
3  AmaZulu | 9 | 22 | 7 | 1 | 1 | 13:8 | +5 | W W W W W |
4  Milford | 10 | 18 | 5 | 3 | 2 | 11:7 | +4 | W W D W D |
5  Kaizer Chiefs | 9 | 14 | 3 | 5 | 1 | 14:10 | +4 | L D D D W |
CAF Champions League
CAF Confederation Cup
Relegation Play-off
Relegation
MP=Matches Played
PTS=Points
W=Wins
D=Draws
L=Losses
G=Goals (For:Against)
GD=Goal Difference
FORM=Last 5 Matches
The league profile compares Premier League South Africa with the 63 leagues and cups we rank over the last 12 months (rank 1 = highest). The stats that stand out pick the most unusual numbers from each team's last 10 games. The attack vs defence chart puts each team in one of four boxes: top right creates more and allows fewer chances than the league average. The luck check shows who got more or fewer points than their chances in the last 10 games, and Last week lists wins with fewer chances and results the bookmakers gave under 20%.
These statistics represent prediction accuracy based on the last 100 matches in the league. Accuracy reflects how often the model correctly predicted the outcome for each market. Our football predictions are generated using advanced AI techniques combined with historical match data, team form, player availability and head-to-head records to deliver reliable forecasts. Explore our prediction results tracker for live accuracy across all completed matches, our league accuracy data for competition-level breakdowns, or prediction performance for team-level insights.
About Premier League South Africa
The Premier Soccer League (PSL) is the top professional football league in South Africa. It consists of 16 teams and operates on a system of promotion and relegation. The PSL is known for its passionate fan base and competitive matches. Kaizer Chiefs and Orlando Pirates are the most successful clubs in PSL history.