South African Premiership · Saturday, 31 October, MSK
Milford FC — Sekhukhune United
☆ Save matchModel prediction for 31 October
Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.
In short
Evenly matched: Milford FC 36%, Sekhukhune United 31%, draw 33%.
2.2 goals expected in total — close to the competition average (2.1).
Over 2.5 goals — 38%, both teams to score — 48%.
Why
- By the strength ratings the teams are almost level.
Probabilities
| Expected goals: Milford FC — Sekhukhune United What is xG? | 1.1–1.1 | |
| Milford FC not to lose | 69% | |
| Sekhukhune United not to lose | 64% | |
| No draw | 67% | |
| Both teams to score: yes | 48% | |
| Both teams to score: no | 52% | |
| Total over 2.5 | 38% | |
| Total under 2.5 | 62% |
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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.
- All totals
- Handicap Milford FC
- Milford FC goals
- Sekhukhune United goals
- Corners and cards
- Full score grid
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Form
- 20.09Durban City1:1
- 13.09Richards Bay5:1
- 05.09away · Chippa United0:0
- 02.09away · Mamelodi Sundowns FC0:2
- 26.08away · Polokwane City0:0
- 19.09away · Richards Bay3:2
- 11.09away · Stellenbosch FC1:1
- 05.09TS Galaxy0:0
- 25.08away · Orlando Pirates0:2
- 15.08Polokwane City2:0
Head to head
No previous meetings in the data.
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 4 | Kaizer Chiefs | 8 | 3 | +5 | 14 |
| 5 | Milford FC | 8 | 3 | +2 | 12 |
| 6 | Sekhukhune United | 7 | 3 | 0 | 11 |
| 7 | Stellenbosch FC | 8 | 2 | +1 | 10 |
SA Premiership on the same day
- Orlando PiratesKaizer Chiefspreliminary6624111The model's most likely outcome: 1Model's score: 1:02.0
- Polokwane CityTS Galaxypreliminary4333241The model's most likely outcome: 1Model's score: 2:02.0
- AmaZulu FCLamontville Golden Arrowspreliminary4432241The model's most likely outcome: 1Model's score: 2:02.3
- Kruger UnitedRichards Baypreliminary4131291The model's most likely outcome: 1Model's score: 2:02.5
This is the model’s statistical estimate, not a recommendation. An outcome at 36% will not happen in roughly 64 matches out of 100. How to read probabilities →