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 / Motsepe Championship / Hope vs Lerumo Lions

Hope vs Lerumo Lions

Hope vs Lerumo Lions kicks off at 15:30 SAST on Saturday, 6 February 2027 at Athlone Stadium, Cape Town in the Motsepe Foundation Championship.

Kick-off: 15:30 SAST · Saturday, 6 February 2027 · Athlone Stadium, Cape Town

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

Bet on Hope vs Lerumo Lions 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

Hope 42%Draw 24%Lerumo Lions 34%

Hope: a lean at 42%. The model has Hope at 42%, the draw at 24% and Lerumo Lions at 34%, from an expected margin of +0.2 goals to the home side. The licensed books price this match in the days before kick-off; the price appears here then.

Bet on Hope at Easybet

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

Hope

9th in the Motsepe Championship · 11 pts from 7 · GD 0

  • D
  • D
  • W
  • L
  • W
  • L

Last 6: 2W 2D 2L, scored 4, conceded 5.

Lerumo Lions

6th in the Motsepe Championship · 11 pts from 7 · GD +2

  • W
  • D
  • L
  • L
  • W
  • W

Last 6: 3W 1D 2L, scored 7, conceded 5.

Going into the match

Hope go into this 9th in the Motsepe Championship on 11 points from 7; Lerumo Lions are 6th on 11.

Over their last 6 Hope have taken 8 points, scoring 4; Lerumo Lions 10 points over their last 6, scoring 7.

Head to head

DateMatchCompetition
10 Oct 26Lerumo Lions 1-1 HopeMotsepe Foundation Championship

Bet on this match at Easybet

Next in the Motsepe Championship

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.