· Premier League
Olympic El Qanah
ATT
5/10
DEF
5/10
vs
ENPPI
6/10
ATT
3/10
DEF
Запланирован· Fri 30 Oct · 18:00
Лучший выбор
Меньше 2.5
62%
Точный счёт
Отличная
1-0
14.4%
6.94
Отличная
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
Составы ещё не объявлены — полный анализ игроков ниже
Olympic El Qanah25 игроков
54.2/ 99Средний
Лучшие
1Ibrahim SamyDEF71
2Momen MahdyDEF69
3Mohamed SadekMID68
ENPPI27 игроков
50.0/ 99Средний
Лучшие
1Sayed SaidMID81
2Emad MayhoubFWD76
3Mohamed EmadMID74
Olympic El Qanah32
PlayerОбщий РейтингВлияниеАгрессияДисциплина
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
PlayerОбщий РейтингВлияниеАгрессияДисциплина
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
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Emad MayhoubENPPI
87
2
Hamed AbdallahENPPI
62
3
Mawuli WayoOlympic El Qanah
60
4
Mohamed El Sayed Mohamed El NahassENPPI
57
5
Ousseynou BodianENPPI
55
Стена
Лучшие защитники
1
Ibrahim SamyOlympic El Qanah
89
2
Mohamed AbdelbasirENPPI
71
3
Seif Hassan El KhashabENPPI
67
4
Ali ElfilOlympic El Qanah
65
5
Ahmed KaloshaENPPI
64
Контроль
Лучшие плеймейкеры
1
Mohamed EmadENPPI
84
2
Sayed SaidENPPI
81
3
Ziad KamalENPPI
80
4
Ahmed AliOlympic El Qanah
66
5
Amar HamdyENPPI
58
Хулиганы
Склонны к карточкам
1
Hafiz IbrahimOlympic El Qanah
10
2
Ahmed KaloshaENPPI
16
3
Mahmoud HershaOlympic El Qanah
20
4
KahrabaENPPI
20
5
Mohamed SherifENPPI
20
Рейтинг силы
Сильнейшие в целом
1
Sayed SaidENPPI
81
2
Emad MayhoubENPPI
76
3
Mohamed EmadENPPI
74
4
Ibrahim SamyOlympic El Qanah
71
5
Ziad KamalENPPI
70

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for Olympic El Qanah 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 Olympic El Qanah 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 Olympic El Qanah 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 Olympic El Qanah 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 Olympic El Qanah 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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