· Division 1
Al-Zulfi FC
ATT
4/10
DEF
6/10
3:0
AL Jandal
5/10
ATT
4/10
DEF
Full-time
Best Pick
BTTS
52%
Correct Score96′
Top
1-1
12%
7.00
Top
1-0
11.1%
8.00
2-1
9.4%
10.00
2-0
8.7%
9.00
0-1
7.7%
12.00
0-0
7.1%
10.00
1-2
6.5%
15.00
2-2
5.1%
17.00
148%
2.07TOP
X25%
3.96
226%
3.80
1X73%
X251%
1274%
xG — Expected Goals
Al-Zulfi FC
Al-Zulfi FC exp
AL Jandal
AL Jandal exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Al-Zulfi FC
AL Jandal
Probable XI4-4-2
Al-Mushawh
Al-Hajri
Al-Nakhli
Daqarshawi
Al-Tumbukti
Al-Shereid
Al-Anzy
Al-Mutairi
Baker
Al-Saqour
Al-Fenaitel
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Al-Zulfi FC19 players
52.8/ 99Average
Top Rated
1Ben MalangoFWD85
2Motair Al-ZahraniMID80
3Basem Al-FenaitelFWD70
AL Jandal22 players
46.9/ 99Average
Top Rated
1João SilvaFWD75
2Mansour Al-ShammariDEF68
3Hassimi FadiagaMID67
Al-Zulfi FC26
PlayerOverall RatingImpactAggressionDiscipline
Ben Malango85866969
Motair Al-Zahrani80695687
Basem Al-Fenaitel70755856
Ali Abdulhadi Al-Nakhli65447575
Maher Al-Mutairi62684161
Mohammed Baker60459956
Suwailem Al-Manhali58555061
Abdulaziz Al-Shereid57386470
Dejvi Bregu54544556
Saad Al-Saleh53532554
Aqbah Al-Mushawh52538147
Demba Diallo52435867
Ali Al-Saqour47289183
AL Jandal26
PlayerOverall RatingImpactAggressionDiscipline
João Silva75903450
Mansour Al-Shammari68488478
Hassimi Fadiaga67734267
Masoud Bakheet58286587
Abdulaziz Majrashi57425470
Thibaut Peyre57724145
Munther Al-Nakhli57546456
Fabinho56458464
Nawaf Al-Sehimai55604354
Abdulrahman Al-Shammari52499961
Mohammed Mazyad Al-Shammari48473450
João Pedro Goulart Silva47474550
Meshari Al-Khalif44289561
Player Rankings
Snipers
Top goal threats
1
João SilvaAL Jandal
90
2
Ben MalangoAl-Zulfi FC
86
3
Basem Al-FenaitelAl-Zulfi FC
75
4
Nawaf BouamerAl-Zulfi FC
63
5
Dejvi BreguAl-Zulfi FC
54
Wall
Top defenders
1
Thibaut PeyreAL Jandal
72
2
Jamaan Al-DosariAL Jandal
69
3
Suwailem Al-ManhaliAl-Zulfi FC
55
4
Abdulrahman Al-Hajri Al-Zulfi FC
51
5
Mansour Al-ShammariAL Jandal
48
Control
Top playmakers
1
Hassimi FadiagaAL Jandal
73
2
Motair Al-ZahraniAl-Zulfi FC
69
3
Maher Al-MutairiAl-Zulfi FC
68
4
Nawaf Al-SehimaiAL Jandal
60
5
Mohammed BakerAl-Zulfi FC
45
Bad Boys
Most likely to get booked
1
Abdulrahman Al-Hajri Al-Zulfi FC
1
2
Majed MadaniAl-Zulfi FC
1
3
Nawaf BouamerAl-Zulfi FC
1
4
Jamaan Al-DosariAL Jandal
1
5
Clench LoufilouAL Jandal
1
Power Rankings
Strongest overall
1
Ben MalangoAl-Zulfi FC
85
2
Motair Al-ZahraniAl-Zulfi FC
80
3
João SilvaAL Jandal
75
4
Basem Al-FenaitelAl-Zulfi FC
70
5
Mansour Al-ShammariAL Jandal
68

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Al-Zulfi FC vs AL Jandal 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-Zulfi FC vs AL Jandal 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-Zulfi FC 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-Zulfi FC vs AL Jandal 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-Zulfi FC 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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