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 / Chippa United vs Kaizer Chiefs

Chippa United vs Kaizer Chiefs

Chippa United vs Kaizer Chiefs kicks off at 15:30 SAST on Saturday, 28 November 2026 at Nelson Mandela Bay Stadium, Gqeberha in the Betway Premiership.

Kick-off: 15:30 SAST · Saturday, 28 November 2026 · Nelson Mandela Bay Stadium, Gqeberha

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

Bet on Chippa United vs Kaizer Chiefs 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

Chippa United 23%Draw 22%Kaizer Chiefs 56%

Kaizer Chiefs: the pick at 56%. The model has Chippa United at 23%, the draw at 22% and Kaizer Chiefs at 56%, from an expected margin of -0.7 goals to the home side. The licensed books price this match in the days before kick-off; the price appears here then.

Bet on Kaizer Chiefs at Easybet

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

Chippa United

9th in the PSL · 8 pts from 7 · GD -2

  • D
  • L
  • D
  • D
  • W
  • L

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

Kaizer Chiefs

4th in the PSL · 13 pts from 7 · GD +5

  • D
  • D
  • D
  • W
  • L
  • W

Last 6: 2W 3D 1L, scored 8, conceded 5.

Going into the match

Chippa United go into this 9th in the PSL on 8 points from 7; Kaizer Chiefs are 4th on 13.

Over their last 6 Chippa United have taken 6 points, scoring 2; Kaizer Chiefs 9 points over their last 6, scoring 8.

Head to head

DateMatchCompetition
23 May 26Kaizer Chiefs 0-1 Chippa UnitedBetway Premiership
03 Dec 25Chippa United 0-0 Kaizer ChiefsBetway 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.