· AFC Champions League Elite
Al Gharafa
ATT
4/10
DEF
4/10
vs
Al-Qadsiah
5/10
ATT
5/10
DEF
Запланирован· Mon 2 Nov · 18:15
Лучший выбор
Меньше 2.5
54%
Точный счёт
Отличная
1-1
12.7%
7.89
Отличная
1-0
10.8%
9.23
0-1
9.3%
10.71
2-1
8.6%
11.61
0-0
8%
12.54
1-2
7.4%
13.47
2-0
7.4%
13.60
0-2
5.5%
18.29
141%
2.43TOP
X27%
3.75
232%
3.10
1X68%
X259%
1273%
Probable XI4-4-2
Kone
Rashidi
Ouwi
Abdulnasir
Traore
Hassan
Díaz
Hamdeh
Sassi
Ounas
Mohamed
Impact Player Hot Head
Составы ещё не объявлены — полный анализ игроков ниже
Al Gharafa21 игроков
48.5/ 99Средний
Лучшие
1Ayoub Al OuwiDEF63
2Hassan AladinFWD63
3Mason HolgateDEF62
Al-Qadsiah18 игроков
49.3/ 99Средний
Лучшие
1Mateo ReteguiFWD63
2Yasser Al-ShahraniDEF60
3Jehad Thakri DEF57
Al Gharafa36
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Ayoub Al Ouwi63455778
Hassan Aladin63684556
Mason Holgate62456372
Ferjani Sassi62635955
Yousef Moussa Al Khlif58596350
Saifeldeen Fadlalla56415372
Rayyan Ahmed Al Ali54495856
Mohammed Muntari54574550
Adam Ounas53534556
Yacine Brahimi50464761
Frank Magri49454861
Ahmed Kone47463450
Dame Traore45486336
Al-Qadsiah39
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Mateo Retegui63565378
Yasser Al-Shahrani60505667
Jehad Thakri 57485267
Nahitan Nández56485661
Julian Weigl55544261
Koen Casteels51513450
Julián Quiñones51664419
Nacho Fernández 50524550
Tijjani Reijnders50513856
Ali Badra Diabaté49556336
Suleiman Sani48456350
Abdulmalik Al-Jaber46454550
Mohammed bin Hamad bin Dwaihi Al Swaidan Al Qahtani46424756
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Hassan AladinAl Gharafa
68
2
Julián QuiñonesAl-Qadsiah
66
3
Mohammed MuntariAl Gharafa
57
4
Mateo ReteguiAl-Qadsiah
56
5
Adam OunasAl Gharafa
53
Стена
Лучшие защитники
1
Seydou SanoAl Gharafa
58
2
Ali Badra DiabatéAl-Qadsiah
55
3
Hyun Soo JangAl Gharafa
54
4
Nacho Fernández Al-Qadsiah
52
5
Yasser Al-ShahraniAl-Qadsiah
50
Контроль
Лучшие плеймейкеры
1
Ferjani SassiAl Gharafa
63
2
Musab Al-JuwayrAl-Qadsiah
62
3
Yousef Moussa Al KhlifAl Gharafa
59
4
Cameron PuertasAl-Qadsiah
59
5
Julian WeiglAl-Qadsiah
54
Хулиганы
Склонны к карточкам
1
Seydou SanoAl Gharafa
1
2
Fabricio DíazAl Gharafa
5
3
Gastón ÁlvarezAl-Qadsiah
15
4
Jamal HamedAl Gharafa
19
5
Julián QuiñonesAl-Qadsiah
19
Рейтинг силы
Сильнейшие в целом
1
Ayoub Al OuwiAl Gharafa
63
2
Hassan AladinAl Gharafa
63
3
Mateo ReteguiAl-Qadsiah
63
4
Mason HolgateAl Gharafa
62
5
Ferjani SassiAl Gharafa
62

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for Al Gharafa vs Al-Qadsiah 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 Gharafa vs Al-Qadsiah 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 Gharafa 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 Gharafa vs Al-Qadsiah 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 Gharafa 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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