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Al Hazm vs Al Shabab 1-1 Score & Prediction Review

Pro League - Season 2026/2027 (Round 4)

Fair result
Al HazmAl Hazm

1–1

Al ShababAl Shabab
1.5Chances (xG)1.5

On these chances Al Hazm would usually take 1.3 points and Al Shabab 1.4; they took 1 and 1. Bookmakers' favourite: Al Shabab.

Al Hazm −0.3 pts vs chancesAl Shabab −0.4 pts vs chances

Calculated by MyGameOdds · xG: our own model

How it works

Chances (xG): every shot gets a value for how likely it was to go in, and we add them up (our own model). Points their chances were worth: how many points teams usually get from chances like these.

Smash-and-grab: the winner created at least 0.8 xG less than the loser. Robbed: a draw where one side created at least 0.8 xG more. Anything else is a fair result. No verdict after extra time or when there's no xG.

Can you trust it? In these games, SportMonks' own xG agreed on who created more in 95% of the wins and 98% of the draws, and Flashscore agreed in 16 of the 20 games we checked by hand.

How we measure →

Al Hazm vs Al Shabab stats: how the match was played

Pro League

Whether the result matched the chances each side created, measured with our own xG.

Al Shabab had clearly more shots on target

Al Hazm

Al Shabab

4

Shots on target

6

1

Big chances

4

3

Corners

8

1

Yellow cards

2

0

Red cards

1

45%

Possession

55%

The match between Al Hazm and Al Shabab ended 1-1. Our AI model predicted an Al Shabab win at 55% confidence — the final result went a different way, but individual market predictions still offer useful insight. Overall a solid read on this match, with 2 out of 4 key markets predicted correctly, including Both Teams To Score & Over/Under 3.5 Goals.
This match is finished — the model has already priced the next one: Al Shabab – Al Faisaly prediction & betting tips (Oct 19, 2026).

Al Hazm vs Al Shabab — Our Model vs the Bookmakers

Market check · Pro League

How our model’s pick did in each market, next to the bookmakers’ last odds before kick-off (margin removed): what was correct, what was wrong, and how often our predictions like this one came true over the last 12 months.

How to read it

our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Agrees with bookmakers

Our model’s pick

Al Shabab to win

Wrong
Our model 55%Bookmakers 56%

Our track record

In 2,495 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 54.6% of the time (bookmakers said 55.1%).

Both Teams to Score →Agrees with bookmakers

Our model’s pick

Yes, both score

Correct
Our model 56%Bookmakers 58%

Our track record

In 5,732 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 56.8% of the time (bookmakers said 57.7%).

Over/Under 2.5 Goals →Agrees with bookmakers

Our model’s pick

Over 2.5 goals

Wrong
Our model 54%Bookmakers 57%

Our track record

In 5,191 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.0% of the time (bookmakers said 56.4%).

Over/Under 3.5 Goals →Agrees with bookmakers

Our model’s pick

Under 3.5 goals

Correct
Our model 68%Bookmakers 66%

Our track record

In 3,986 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.3% of the time (bookmakers said 66.8%).

First Half Result →Agrees with bookmakers

Our model’s pick

Draw at half-time

Correct
Our model 42%Bookmakers 40%

Our track record

In 6,723 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 44.7% of the time (bookmakers said 44.2%).

Al Hazm Goals →Agrees with bookmakers

Our model’s pick

Al Hazm 0–1 goals

Correct
Our model 75%Bookmakers 66%

Our track record

In 1,588 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 71.5% of the time (bookmakers said 72.0%).

Al Shabab Goals →Agrees with bookmakers

Our model’s pick

Al Shabab 2+ goals

Wrong
Our model 52%Bookmakers 52%

Our track record

In 1,014 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 59.6% of the time (bookmakers said 59.2%).

Odds: the last ones before kick-off. Picks are marked on the result after 90 minutes. The track record uses closing odds.

Al Hazm vs Al Shabab 1-1 — How Our Predictions Performed

The prediction cards below show the pre-match probabilities our AI model generated for Al Hazm vs Al Shabab. Correct predictions are highlighted in green, so you can quickly see where the model read this match well.

· FT
Pro League - Saudi Arabia
Al HazmAl Hazm1
Al ShababAl Shabab1

Winner

2 55%

BTTS*

Yes 56%

Correct Score

1-1 11%

Over/Under 2.5 goals

over 54%

Over/Under 3.5 goals

under 58%

Full Time

122%
X23%
255%

Goals Over/Under

<1.5>1.5<2.5>2.5
FT23%77%46%54%
<3.5>3.5<4.5>4.5
FT58%42%81%19%

Team Goals Over/Under

<0.5>0.5<1.5>1.5
Al Hazm41%59%75%25%
Al Shabab19%82%48%52%
<2.5>2.5<3.5>3.5
Al Hazm92%8%98%2%
Al Shabab75%25%90%10%

1st Half

121%
X42%
237%

1st Score

134%
X6%
259%

Half Time/Full Time

2-2

31%

X-2

18%

X-X

15%

1-1

13%

X-1

8%

2-X

5%

1-X

4%

1-2

4%

2-1

2%

Correct Score

1-1

10.8%

0-1

10.5%

1-2

10.5%

0-2

9.5%

0-0

6.2%

1-0

6.1%

1-3

5.8%

2-1

5.6%

2-2

5.2%

0-3

4.9%

2-3

3.4%

2-0

3.3%

*Probability of each predicted outcome is expressed in percentage (%)

*BTTS - Both teams to score

This match is finished — the model has already priced the next one: Al Shabab – Al Faisaly prediction & betting tips (Oct 19, 2026).

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