Get R50 free + 25 spins
Get R50 free + 25 spins at Easybet for new accounts, no deposit needed; terms apply 18+Open account

Home / PSL / Orlando Pirates vs Golden Arrows

Orlando Pirates vs Golden Arrows

Orlando Pirates vs Golden Arrows kicks off at 18:00 SAST on Saturday, 28 November 2026 at Orlando Stadium, Soweto in the Betway Premiership.

Kick-off: 18:00 SAST · Saturday, 28 November 2026 · Orlando Stadium, Soweto

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

Bet on Orlando Pirates vs Golden Arrows 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

Orlando Pirates 74%Draw 15%Golden Arrows 12%

Orlando Pirates: a strong pick at 74%. The model has Orlando Pirates at 74%, the draw at 15% and Golden Arrows at 12%, from an expected margin of +1.5 goals to the home side. The licensed books price this match in the days before kick-off; the price appears here then.

Bet on Orlando Pirates at Easybet

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

Orlando Pirates

2nd in the PSL · 19 pts from 7 · GD +15

  • W
  • D
  • W
  • W
  • W
  • D

Last 6: 4W 2D 0L, scored 11, conceded 2.

Golden Arrows

8th in the PSL · 8 pts from 7 · GD 0

  • D
  • L
  • L
  • W
  • W
  • D

Last 6: 2W 2D 2L, scored 5, conceded 5.

Going into the match

Orlando Pirates go into this 2nd in the PSL on 19 points from 7; Golden Arrows are 8th on 8.

Over their last 6 Orlando Pirates have taken 14 points, scoring 11; Golden Arrows 8 points over their last 6, scoring 5.

Head to head

DateMatchCompetition
07 Apr 26Orlando Pirates 5-0 Golden ArrowsBetway Premiership
05 Nov 25Golden Arrows 1-3 Orlando PiratesBetway 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.