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

Home / Serie A / Genoa CFC vs Milan

Genoa CFC vs Milan

Genoa CFC vs Milan kicks off at 15:00 SAST on Sunday, 8 November 2026 in the Serie A.

Kick-off: 15:00 SAST · Sunday, 8 November 2026

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

Bet on Genoa CFC vs Milan 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

Genoa CFC 25%Draw 22%Milan 53%

Milan: the pick at 53%. The model has Genoa CFC at 25%, the draw at 22% and Milan at 53%, from an expected margin of -0.6 goals to the home side. The licensed books price this match in the days before kick-off; the price appears here then.

Bet on Milan at Easybet

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

Genoa CFC

19th in the Serie A · 1 pts from 5 · GD -7

  • L
  • D
  • L
  • L
  • L
  • L

Last 6: 0W 1D 5L, scored 3, conceded 11.

Milan

5th in the Serie A · 11 pts from 5 · GD +6

  • W
  • D
  • D
  • W
  • W
  • L

Last 6: 3W 2D 1L, scored 11, conceded 6.

Going into the match

Genoa CFC go into this 19th in the Serie A on 1 points from 5; Milan are 5th on 11.

Over their last 6 Genoa CFC have taken 1 points, scoring 3; Milan 11 points over their last 6, scoring 11.

Last 6 meetings: Genoa CFC 0, Milan 3, drawn 3. Both sides scored in 4, and 3 went over 2.5 goals.

Head to head

DateMatchCompetition
17 May 26Genoa CFC 1-2 MilanSerie A
08 Jan 26Milan 1-1 Genoa CFCSerie A
05 May 25Genoa CFC 1-2 MilanSerie A
15 Dec 24Milan 0-0 Genoa CFCSerie A
05 May 24Milan 3-3 Genoa CFCSerie A
07 Oct 23Genoa CFC 0-1 MilanSerie A

Bet on this match at Easybet

Next in the Serie A

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.