· AFC Cup
Al Hussein Irbid
ATT
6/10
DEF
4/10
vs
AL Shorta SC
6/10
ATT
5/10
DEF
Scheduled· Tue 3 Nov · 16:00
Best Pick
BTTS
56%
Correct Score
Top
1-1
11.2%
8.92
Top
1-0
9.9%
10.15
2-1
9.7%
10.34
2-0
8.5%
11.77
0-1
6.5%
15.38
1-2
6.4%
15.67
0-0
5.7%
17.51
3-1
5.6%
17.98
151%
1.96TOP
X24%
4.20
225%
3.98
1X75%
X249%
1276%
Probable XI4-4-2
Kwamleh
Nasib
Quraishi
Assaf
Ayman
Haikal
Salman
Almbaidin
Khrouba
Attar
Bani
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Al Hussein Irbid23 players
54.0/ 99Average
Top Rated
1Ali Ahmad HajabiDEF74
2Mahmoud ShawkatMID72
3Hashem Zaid AlmbaidinMID67
AL Shorta SC16 players
51.3/ 99Average
Top Rated
1Abdullah BasimFWD83
2Diego HernándezDEF64
3Ahmed YahyaDEF58
Al Hussein Irbid33
PlayerOverall RatingImpactAggressionDiscipline
Ali Ahmad Hajabi74566489
Mahmoud Shawkat72625978
Hashem Zaid Almbaidin67844550
Obieda Ahmad Ghazi Al Namarnah66647756
Yousef Abu Al-Jazar65606261
Mahmoud Khrouba64416383
Ahmed Al Salman57584956
Ahmad Assaf56309964
Adham Al Quraishi55445961
Brayan Riascos55574456
Mahmoud Al Mardi55516856
Saleem Obaid53464367
Paul Komolafe53543856
AL Shorta SC29
PlayerOverall RatingImpactAggressionDiscipline
Abdullah Basim83984550
Diego Hernández64794550
Ahmed Yahya58465767
Ali Mohsin54554456
Ahmed Yahya52475256
Maytham Jabbar51513861
R. Ramírez50514950
Leonel Ateba50435167
Adam Rasheed49484850
Jalal Hassan 47459956
Mohanad Ali47474550
Bassam Shakir46493650
Cristian Barco45665119
Player Rankings
Snipers
Top goal threats
1
Abdullah BasimAL Shorta SC
98
2
Obieda Ahmad Ghazi Al NamarnahAl Hussein Irbid
64
3
Aref Al-HajAl Hussein Irbid
62
4
Brayan RiascosAl Hussein Irbid
57
5
Paul KomolafeAl Hussein Irbid
54
Wall
Top defenders
1
Diego HernándezAL Shorta SC
79
2
Abdallah NasibAl Hussein Irbid
72
3
Yousef Abu Al-JazarAl Hussein Irbid
60
4
Ali Ahmad HajabiAl Hussein Irbid
56
5
Pedro HenriqueAl Hussein Irbid
56
Control
Top playmakers
1
Hashem Zaid AlmbaidinAl Hussein Irbid
84
2
Cristian BarcoAL Shorta SC
66
3
Mahmoud ShawkatAl Hussein Irbid
62
4
Ahmed Al SalmanAl Hussein Irbid
58
5
Ali MohsinAL Shorta SC
55
Bad Boys
Most likely to get booked
1
Aref Al-HajAl Hussein Irbid
10
2
Pedro HenriqueAl Hussein Irbid
15
3
Yousef QashiAl Hussein Irbid
19
4
Cristian BarcoAL Shorta SC
19
5
Salahaldeen FarashAl Hussein Irbid
24
Power Rankings
Strongest overall
1
Abdullah BasimAL Shorta SC
83
2
Ali Ahmad HajabiAl Hussein Irbid
74
3
Mahmoud ShawkatAl Hussein Irbid
72
4
Hashem Zaid AlmbaidinAl Hussein Irbid
67
5
Obieda Ahmad Ghazi Al NamarnahAl Hussein Irbid
66

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Al Hussein Irbid vs AL Shorta SC 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 Hussein Irbid vs AL Shorta SC 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 Hussein Irbid 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 Hussein Irbid vs AL Shorta SC 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 Hussein Irbid 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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