Stellenbosch vs Amazulu Prediction
South Africa · Regular Season - 1
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Match Forecasts
Corner forecasts not available for this match
Card forecasts not available for this match
Match Events
Lineups
Stellenbosch
17S. StephensSage Stephens
37T. LebitsoThabiso Lebitso
5M. LebusaMosa Lebusa
4L. VenaLuthando Vena
6T. MthethwaTlakusani Mthethwa
33C. Thembile ButsakaChumani Thembile Butsaka
19G. PalaceGenino Palace
14S. KwayibaSinoxolo Kwayiba
1O. MzimelaOlwethu Mzimela
14N. RadebeNkosikhona Radebe
5K. AllanKeegan Allan
12T. FieliesTaariq Fielies
4R. HanamubRiaan Hanamub
15M. MbanjwaMondli Mbanjwa
38G. MoraloGape Moralo
19S. ZikhaliSphamandla Zikhali
3O. MdakaOmega Mdaka
23T. NgwenyaThandolwenkosi Ngwenya
2A. MaqokolaAthini MaqokolaStellenbosch Substitutes
Amazulu Substitutes
Match Stats
StellenboschAmazulu Team Comparison
StellenboschAmazuluAI Insights
Game State Tendencies
Stellenbosch- Tied at half-time in 80% of matches
- Concedes more in 2nd half - can tire late
Amazulu- Leads at half-time in 60% of matches
- Concedes more in 2nd half - can tire late
Head to Head
Based on 5 historical meetings
Recent Form
Stellenbosch
Marumo GallantsStellenboschStellenbosch
Orbit College
Durban CityStellenboschStellenbosch
Orlando Pirates
Polokwane CityStellenboschAmazuluDurban CityAmazuluAmazulu
Kaizer ChiefsOrbit CollegeAmazuluAmazulu
Golden ArrowsAmazulu
Chippa UnitedReferee Profile
Jelly Chavani, South Africa · 28 matches analysed
League Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 |  Mamelodi Sundowns | 8 | 6 | 2 | 0 | 19:7 | +12 | 20 | DWWWW |
| 2 | Orlando Pirates | 6 | 5 | 1 | 0 | 14:1 | +13 | 16 | WWWWD |
| 3 | Amazulu | 7 | 5 | 1 | 1 | 10:7 | +3 | 16 | WWWLW |
| 4 | Kaizer Chiefs | 6 | 3 | 3 | 0 | 12:7 | +5 | 12 | DWDDW |
| 5 |  Milford FC | 7 | 3 | 2 | 2 | 8:6 | +2 | 11 | WDLDW |
| 6 |  Sekhukhune United | 7 | 3 | 2 | 2 | 7:7 | 0 | 11 | WDDLW |
| 7 | Stellenbosch | 7 | 2 | 3 | 2 | 8:7 | +1 | 9 | WDDLW |
| 8 | Golden Arrows | 6 | 1 | 4 | 1 | 3:3 | 0 | 7 | DLWDD |
| 9 | Polokwane City | 7 | 1 | 4 | 2 | 8:10 | -2 | 7 | LDDDL |
| 10 |  TS Galaxy | 6 | 1 | 3 | 2 | 7:8 | -1 | 6 | LDWDL |
| 11 | Durban City | 6 | 1 | 3 | 2 | 3:4 | -1 | 6 | LDWDD |
| 12 | Chippa United | 6 | 0 | 5 | 1 | 3:6 | -3 | 5 | DDDLD |
| 13 |  Kruger United | 7 | 1 | 1 | 5 | 3:12 | -9 | 4 | LWLLL |
| 14 |  Richards Bay | 7 | 0 | 3 | 4 | 9:16 | -7 | 3 | LLLDD |
| 15 |  Siwelele | 7 | 0 | 3 | 4 | 6:13 | -7 | 3 | DLLDL |
| 16 | Marumo Gallants | 6 | 0 | 2 | 4 | 5:11 | -6 | 2 | LDLLL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | Mamelodi Sundowns | 8 | 19:7 | 20 |
| 2 | Orlando Pirates | 6 | 14:1 | 16 |
| 3 | Amazulu | 7 | 10:7 | 16 |
| 4 | Kaizer Chiefs | 6 | 12:7 | 12 |
| 5 | Milford FC | 7 | 8:6 | 11 |
| 6 | Sekhukhune United | 7 | 7:7 | 11 |
| 7 | Stellenbosch | 7 | 8:7 | 9 |
| 8 | Golden Arrows | 6 | 3:3 | 7 |
| 9 | Polokwane City | 7 | 8:10 | 7 |
| 10 | TS Galaxy | 6 | 7:8 | 6 |
| 11 | Durban City | 6 | 3:4 | 6 |
| 12 | Chippa United | 6 | 3:6 | 5 |
| 13 | Kruger United | 7 | 3:12 | 4 |
| 14 | Richards Bay | 7 | 9:16 | 3 |
| 15 | Siwelele | 7 | 6:13 | 3 |
| 16 | Marumo Gallants | 6 | 5:11 | 2 |
Stellenbosch vs Amazulu Prediction
Our AI model has analysed this Premier Soccer League fixture using team Elo ratings, recent form, projected goals and head-to-head history. The forecasts cover six independent markets - each probability is a separate model calculation, not derived from the match winner result.
How to Read These Forecasts
Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive or open market; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.
About Premier Soccer League
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Key Factors for This Match
Amazulu have led at half-time in 60% of their recent matches. Stellenbosch and Amazulu have met 5 times recently, averaging 2.61 goals per game in those meetings. This forecast is based on a complete recent-form dataset for both teams.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.