· AFC Champions League Elite
Al Wasl
ATT
5/10
DEF
5/10
vs
Al Ahli
7/10
ATT
6/10
DEF
Запланирован· Mon 12 Oct · 16:00
Лучший выбор
ОБЕ ЗАБЬЮТ
55%
Точный счёт
Отличная
1-1
12.2%
8.18
Отличная
1-0
9%
11.05
0-1
9%
11.10
2-1
8.3%
12.06
1-2
8.3%
12.11
0-0
6.7%
15.00
2-0
6.1%
16.29
0-2
6.1%
16.43
137%
2.68TOP
X26%
3.88
237%
2.70TOP
1X63%
X263%
1274%
Probable XI4-4-2
Amer
Saleh
Adryelson
Vareta
Hugo 
Ahmed
Puertas
Lima
Alves
Saleh
Bousso
Impact Player Hot Head
Составы ещё не объявлены — полный анализ игроков ниже
Al Wasl17 игроков
49.8/ 99Средний
Лучшие
1Renato TapiaMID55
2Ali SalehFWD55
3Sasa IvkovicDEF54
Al Ahli26 игроков
50.8/ 99Средний
Лучшие
1Mohammed SulaimanDEF66
2Ricardo MathiasFWD62
3Mohammed AbdulrahmanDEF61
Al Wasl36
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Renato Tapia55624550
Ali Saleh55584550
Sasa Ivkovic54643256
Adryelson53515156
Leandro Leite53535250
Pedro Malheiro52494956
Siaka Sidibe52494956
Nicolás Giménez51534950
Dinko Horkas50504550
Abdulrahman Saleh49494850
Soufiane Bouftini49454756
Matheus Saldanha49454761
Mehdi Taremi48454856
Al Ahli48
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Mohammed Sulaiman66487467
Ricardo Mathias62635656
Mohammed Abdulrahman61468853
Valentin Atangana60338786
Edouard Mendy 5962950
Ali Majrashi58327669
Saleh Abu Al-Shamat58656044
Zakaria Hawsawi57276283
Galeno56613950
Firas Al-Buraikan54377691
Roger Ibañez53495158
Naif Masoud53496450
Ibrahima Diaby52485156
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Ricardo MathiasAl Ahli
63
2
GalenoAl Ahli
61
3
Ali SalehAl Wasl
58
4
Leandro LeiteAl Wasl
53
5
SerginhoAl Wasl
48
Стена
Лучшие защитники
1
Sasa IvkovicAl Wasl
64
2
Merih DemiralAl Ahli
53
3
AdryelsonAl Wasl
51
4
Abdulrahman SalehAl Wasl
49
5
Pedro MalheiroAl Wasl
49
Контроль
Лучшие плеймейкеры
1
Saleh Abu Al-ShamatAl Ahli
65
2
Renato TapiaAl Wasl
62
3
Nicolás GiménezAl Wasl
53
4
Eduard Spertsyan Al Ahli
51
5
Ridwan PopoolaAl Wasl
49
Хулиганы
Склонны к карточкам
1
Enzo MillotAl Ahli
18
2
Ridwan PopoolaAl Wasl
23
3
Eduard Spertsyan Al Ahli
23
4
Ivan ToneyAl Ahli
30
5
Ziyad Al-JohaniAl Ahli
39
Рейтинг силы
Сильнейшие в целом
1
Mohammed SulaimanAl Ahli
66
2
Ricardo MathiasAl Ahli
62
3
Mohammed AbdulrahmanAl Ahli
61
4
Valentin AtanganaAl Ahli
60
5
Edouard Mendy Al Ahli
59

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for Al Wasl vs Al Ahli 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 Wasl vs Al Ahli 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 Wasl 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 Wasl vs Al Ahli 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 Wasl 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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