Get R50 free + 25 spins →
Menu
Get R50 free + 25 spins at Easybet for new accounts, no deposit needed; terms apply 18+Open account
Easybet: R50 sign-up bonus. Join now. 18+, T&Cs apply.

Paid link · 18+ · T&Cs apply

Home / PSL / Milford FC vs Polokwane City

Milford FC vs Polokwane City

Milford FC vs Polokwane City kicks off at 19:30 SAST on Tuesday, 16 March 2027 at Richards Bay Stadium, Richards Bay in the Betway Premiership.

Kick-off: 19:30 SAST · Tuesday, 16 March 2027 · Richards Bay Stadium, Richards Bay

The licensed books price this match in the days before kick-off; the boxes appear here then.

Bet on Milford FC vs Polokwane City at Easybet

Easybet: R50 free bet and 25 free spins, no deposit needed for new accounts. Terms on their site.

Prediction from the model, not a tipster

Milford FC 61%Draw 20%Polokwane City 19%

Milford FC: a strong pick at 61%. The model has Milford FC at 61%, the draw at 20% and Polokwane City at 19%, from an expected margin of +1.0 goals to the home side. The licensed books price this match in the days before kick-off; the price appears here then.

Bet on Milford FC at Easybet

A rating model over past results; it can be wrong and is not advice. Its record.

Milford FC

4th in the PSL · 15 pts from 9 · GD +3

  • W
  • D
  • W
  • D
  • L
  • D

Last 6: 2W 3D 1L, scored 7, conceded 4.

Polokwane City

11th in the PSL · 7 pts from 8 · GD -3

  • L
  • L
  • D
  • D
  • D
  • L

Last 6: 0W 3D 3L, scored 3, conceded 7.

Going into the match

Milford FC go into this 4th in the PSL on 15 points from 9; Polokwane City are 11th on 7.

Over their last 6 Milford FC have taken 9 points, scoring 7; Polokwane City 3 points over their last 6, scoring 3.

Head to head

DateMatchCompetition
26 Aug 26Polokwane City 0-0 Milford FCBetway Premiership

Bet on this match at Easybet

Next in the PSL

Winners know when to stop. 18+. Gambling can be addictive. National Responsible Gambling Programme 0800 006 008 (free, 24 hours). Only bet with bookmakers licensed in South Africa. Predictions here are a model's output from past results; they can be wrong and are not advice.