Al Shabab vs Al Faisaly prediction

Saudi Arabia · Saudi Pro League · 19 October 2026

Al Shabab
2 - 2Full time
Al Faisaly
Al ShababDrawAl Faisaly
Prediction missedModel pick before kick-off: Al Shabab to win (49%)
Our predictionAl Shabab to winLean
49%Probability
2.04Fair odds
1-1Likely score
1.62-1.07Expected goals

Betting markets

Model chances and the fair odds they imply

Match result

  • Al Shabab49%2.04
  • Draw25%3.99
  • Al Faisaly26%3.86

Double chance

  • Al Shabab or draw74%1.35
  • Al Shabab or Al Faisaly75%1.33
  • Draw or Al Faisaly51%1.96

Goals

  • Over 2.550%1.99
  • Under 2.550%2.01

Both teams to score

  • Yes52%1.91
  • No48%2.10

Match preview

Al Shabab have the edge at 49%, but this is far from settled: the draw is at 25% and a win for Al Faisaly at 26%.

Expected goals from the model: Al Shabab 1.62, Al Faisaly 1.07. The single most likely score is 1-1 (12%), and the chance of three or more goals is 50%.

Al Shabab have won 1 and lost 2 of their last 5 league matches (WDLLD).

Al Faisaly have won 1 and lost 2 of their last 5 league matches (WLDDL).

In their last 5 league meetings Al Shabab won 2, Al Faisaly won 1 and 2 ended level.

Most likely scores

  • 1-112%
  • 1-011%
  • 2-110%
  • 2-09%
  • 0-18%

Al Shabab form

DLLDW
  • Wvs Al Taawoun3-02026-10-11
  • Dvs Al Fayha0-02026-09-12
  • Lat Al Kholood1-22026-09-09
  • Lvs Al Hilal0-22026-09-04
  • Dat Al Hazem1-12026-08-30

Al Faisaly form

LDDLW
  • Wvs Al Kholood3-22026-10-15
  • Lvs Al Ittihad1-32026-09-11
  • Dat Al Ettifaq0-02026-09-08
  • Dvs Al Hazem0-02026-09-05
  • Lat Al Qadsiah1-32026-08-30

Head to head

  • 2022-05-12Al Shabab 1-0 Al Faisaly
  • 2021-11-20Al Faisaly 0-0 Al Shabab
  • 2021-05-23Al Faisaly 1-5 Al Shabab
  • 2021-01-19Al Shabab 1-1 Al Faisaly
  • 2020-02-07Al Faisaly 2-1 Al Shabab

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Analysis

This match was played before FootyMath launched: the prediction was calculated afterwards from the matches before its date only, the same way as our backtest, and is not counted in the live track record. Fair odds are 1 divided by the model probability, not bookmaker prices. Published by Semalt; see how it works and the track record.