· Premier League
El Qanah FC
ATT
5/10
DEF
5/10
vs
ENPPI
6/10
ATT
3/10
DEF
Scheduled· Fri 30 Oct · 18:00
Best Pick
Under 2.5
62%
Correct Score
Top
1-0
14.4%
6.94
Top
1-1
12.9%
7.77
0-0
10.9%
9.20
0-1
9.7%
10.30
2-0
9.6%
10.46
2-1
8.5%
11.72
1-2
5.7%
17.40
0-2
4.3%
23.07
147%
2.14TOP
X28%
3.56
225%
3.97
1X75%
X253%
1272%
Probable XI4-4-2
Castelo
Elfil
Shazly
Samy
Halima
Ali
Ibrahim
Hersha
Kott
Sena
Greisha
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
El Qanah FC25 players
54.2/ 99Average
Top Rated
1Ibrahim SamyDEF71
2Momen MahdyDEF69
3Mohamed SadekMID68
ENPPI27 players
50.0/ 99Average
Top Rated
1Sayed SaidMID81
2Emad MayhoubFWD76
3Mohamed EmadMID74
El Qanah FC32
PlayerOverall RatingImpactAggressionDiscipline
Ibrahim Samy71893167
Momen Mahdy69634978
Mohamed Sadek68476889
Momen Rady68516378
Ahmed Ali64667150
Mohab Samy63439961
Mawuli Wayo62606061
Mahmoud Rizk59622681
Ali Elfil58652378
Mohamed Helal58426467
Ossama El Nagar57444083
Mostafa Hamada57445272
Hazem Abou Sena57464589
ENPPI39
PlayerOverall RatingImpactAggressionDiscipline
Sayed Said81818461
Emad Mayhoub76873956
Mohamed Emad74846056
Ziad Kamal70804662
Mohamed Sayed69498489
Hamed Abdallah60625156
Ousseynou Bodian59556061
Mohamed Abdelbasir54711956
Mohamed El Sayed Mohamed El Nahass54572663
Ali Ehab52544350
Mohamed Hamdi51318253
Mohamed Abdelmonem50524850
Hazem Temsah49456943
Player Rankings
Snipers
Top goal threats
1
Emad MayhoubENPPI
87
2
Hamed AbdallahENPPI
62
3
Mawuli WayoEl Qanah FC
60
4
Mohamed El Sayed Mohamed El NahassENPPI
57
5
Ousseynou BodianENPPI
55
Wall
Top defenders
1
Ibrahim SamyEl Qanah FC
89
2
Mohamed AbdelbasirENPPI
71
3
Seif Hassan El KhashabENPPI
67
4
Ali ElfilEl Qanah FC
65
5
Ahmed KaloshaENPPI
64
Control
Top playmakers
1
Mohamed EmadENPPI
84
2
Sayed SaidENPPI
81
3
Ziad KamalENPPI
80
4
Ahmed AliEl Qanah FC
66
5
Amar HamdyENPPI
58
Bad Boys
Most likely to get booked
1
Hafiz IbrahimEl Qanah FC
10
2
Ahmed KaloshaENPPI
16
3
Mahmoud HershaEl Qanah FC
20
4
KahrabaENPPI
20
5
Mohamed SherifENPPI
20
Power Rankings
Strongest overall
1
Sayed SaidENPPI
81
2
Emad MayhoubENPPI
76
3
Mohamed EmadENPPI
74
4
Ibrahim SamyEl Qanah FC
71
5
Ziad KamalENPPI
70

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for El Qanah FC vs ENPPI 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 El Qanah FC vs ENPPI 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 El Qanah 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 El Qanah FC vs ENPPI 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 El Qanah 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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