· AFC Champions League
Al Hilal
ATT
7/10
DEF
5/10
vs
Shabab Al-Ahli Dubai FC
8/10
ATT
3/10
DEF
Scheduled· Tue 3 Nov · 18:15
Best Pick
BTTS
55%
Correct Score
Top
1-1
11.3%
8.84
Top
1-0
10%
10.00
2-1
9.6%
10.37
2-0
8.5%
11.74
0-1
6.6%
15.07
1-2
6.4%
15.61
0-0
5.9%
17.06
3-1
5.5%
18.24
151%
1.97TOP
X24%
4.17
225%
3.96
1X75%
X249%
1276%
Probable XI4-4-2
Bono
Bulayhi
Lajami
Al-Yami
Tambakti
Kanno
Al-Hawsawi
Al-Dawsari
Neves
Al-Anazi
Summerville
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Al Hilal29 players
54.0/ 99Average
Top Rated
1Rúben NevesMID97
2Yusuf AkçiçekDEF70
3Murad Al-HawsawiMID70
Shabab Al-Ahli Dubai FC30 players
50.9/ 99Average
Top Rated
1Thiago Sá Gomes ScarpinoFWD92
2Igor GomesDEF65
3João MarceloFWD64
Al Hilal35
PlayerOverall RatingImpactAggressionDiscipline
Rúben Neves97996791
Yusuf Akçiçek70486789
Murad Al-Hawsawi70498091
Ali bin Mohammed bin Ali Lajami62538252
Sergej Milinkovic-Savic61633967
Karim Benzema 61603872
Kalidou Koulibaly60526757
Hamad Al-Yami58467356
Malcom Filipe Silva de Oliveira58565161
Ollie Watkins57545661
Mohammed Mahzari55485461
Mohammed Al-Yami54543950
Kader Meïté54553361
Shabab Al-Ahli Dubai FC39
PlayerOverall RatingImpactAggressionDiscipline
Thiago Sá Gomes Scarpino92999950
Igor Gomes65564383
João Marcelo64517689
Saeid Ezatolahi62467168
Mateusão61614367
Damián García60526361
Elian Mateo Irala59527056
Mateus Henrique57405672
Juan Bezerra57575256
Yuri César56574456
Matheus Donelli54568750
Renan54483972
Sultan Adil53514561
Player Rankings
Snipers
Top goal threats
1
Thiago Sá Gomes ScarpinoShabab Al-Ahli Dubai FC
99
2
MateusãoShabab Al-Ahli Dubai FC
61
3
Karim Benzema Al Hilal
60
4
Juan BezerraShabab Al-Ahli Dubai FC
57
5
Yuri CésarShabab Al-Ahli Dubai FC
57
Wall
Top defenders
1
Bogdan PlanićShabab Al-Ahli Dubai FC
58
2
Igor GomesShabab Al-Ahli Dubai FC
56
3
Wout FaesShabab Al-Ahli Dubai FC
56
4
Ali bin Mohammed bin Ali LajamiAl Hilal
53
5
Kalidou KoulibalyAl Hilal
52
Control
Top playmakers
1
Rúben NevesAl Hilal
99
2
Nasser Al-DawsariAl Hilal
63
3
Sergej Milinkovic-SavicAl Hilal
63
4
Saïmon BouabréAl Hilal
52
5
Damián GarcíaShabab Al-Ahli Dubai FC
52
Bad Boys
Most likely to get booked
1
Darwin NúñezAl Hilal
13
2
Nasser Al-DawsariAl Hilal
22
3
Nemanja MaksimovicShabab Al-Ahli Dubai FC
22
4
Jorge FernandesShabab Al-Ahli Dubai FC
24
5
Bader AbaelazizShabab Al-Ahli Dubai FC
30
Power Rankings
Strongest overall
1
Rúben NevesAl Hilal
97
2
Thiago Sá Gomes ScarpinoShabab Al-Ahli Dubai FC
92
3
Yusuf AkçiçekAl Hilal
70
4
Murad Al-HawsawiAl Hilal
70
5
Igor GomesShabab Al-Ahli Dubai FC
65

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Al Hilal vs Shabab Al-Ahli Dubai FC based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the Al Hilal vs Shabab Al-Ahli Dubai FC match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If Al Hilal has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Al Hilal vs Shabab Al-Ahli Dubai FC without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Al Hilal a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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