· Egypt Cup
Wadi Degla
ATT
5/10
DEF
5/10
0:0
Kahraba Ismailia
5/10
ATT
6/10
DEF
Конец
Лучший выбор
Меньше 2.5
57%
Точный счёт120′
Отличная
1-1
12.8%
7.00
Отличная
1-0
12.7%
6.00
0-0
9.2%
8.00
0-1
9.2%
9.50
2-0
8.8%
8.00
2-1
8.8%
9.50
1-2
6.4%
15.00
0-2
4.6%
21.00
146%
2.19TOP
X27%
3.69
227%
3.67
1X73%
X254%
1273%
за 15 мин
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Wadi Degla
Kahraba Ismailia
Probable XI4-4-2
1
Hossam
40
Abdin
23
Ayman
5
Dahroug
21
Reda
44
Shimi
8
Scholes
17
Hassan
25
Bahnasi
32
Farouk
27
Refaat
Impact Player Hot Head
Составы ещё не объявлены — полный анализ игроков ниже
Wadi Degla8 игроков
45.5/ 99Средний
Лучшие
1Amr HossamGK46
2Ahmed El ShimiMID46
3Islam AdelMID46
Kahraba Ismailia25 игроков
Нет метрик состава
23
Farag ShawkyGK
16
Mohamed HagrasGK
3
Essam El FayoumiDEF
4
Ibrahim AwadDEF
Islam GaberDEF
12
Joseph NgwemDEF
88
Léonce Roméo NamgbemaDEF
Mahmoud ShaabanDEF
Mohamed El DeghemyDEF
66
Mohamed MedhatDEF
7
Mostafa KoshariDEF
44
Abdelrahman BodaMID
Adham HamadaMID
Wadi Degla27
PlayerОбщий РейтингВлияниеАгрессияДисциплина
1
Amr Hossam46454550
44
Ahmed El Shimi46454550
4
Islam Adel46454550
30
Mohamed Fathi46454550
24
Mohamed Ragab45454550
2
Shady Maher45454550
32
Ahmed Farouk45454550
7
Youssef Oya45454550
40
Ahmed Abdin ————
23
Ahmed Ayman————
5
Ahmed Dahroug————
21
Ahmed Reda————
19
Halimo————
Kahraba Ismailia25
PlayerОбщий РейтингВлияниеАгрессияДисциплина
23
Farag Shawky————
16
Mohamed Hagras————
3
Essam El Fayoumi————
4
Ibrahim Awad————
Islam Gaber————
12
Joseph Ngwem————
88
Léonce Roméo Namgbema————
Mahmoud Shaaban————
Mohamed El Deghemy————
66
Mohamed Medhat————
7
Mostafa Koshari————
44
Abdelrahman Boda————
Adham Hamada————
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Ahmed FaroukWadi Degla
45
2
Youssef OyaWadi Degla
45
Стена
Лучшие защитники
1
Mohamed RagabWadi Degla
45
2
Shady MaherWadi Degla
45
Контроль
Лучшие плеймейкеры
1
Ahmed El ShimiWadi Degla
45
2
Islam AdelWadi Degla
45
3
Mohamed FathiWadi Degla
45
Хулиганы
Склонны к карточкам
1
Amr HossamWadi Degla
50
2
Mohamed RagabWadi Degla
50
3
Shady MaherWadi Degla
50
4
Ahmed El ShimiWadi Degla
50
5
Islam AdelWadi Degla
50
Рейтинг силы
Сильнейшие в целом
1
Amr HossamWadi Degla
46
2
Ahmed El ShimiWadi Degla
46
3
Islam AdelWadi Degla
46
4
Mohamed FathiWadi Degla
46
5
Mohamed RagabWadi Degla
45

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for Wadi Degla vs Kahraba Ismailia 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 Wadi Degla vs Kahraba Ismailia 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 Wadi Degla 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 Wadi Degla vs Kahraba Ismailia 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 Wadi Degla 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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