· Friendly International
China PR
ATT
4/10
DEF
6/10
vs
Tajikistan
5/10
ATT
5/10
DEF
Запланирован· Tue 6 Oct · 11:35
Лучший выбор
ОБЕ ЗАБЬЮТ
52%
Точный счёт
Отличная
1-1
12%
8.31
Отличная
1-0
11.1%
9.01
2-1
9.4%
10.67
2-0
8.6%
11.57
0-1
7.7%
12.94
0-0
7.1%
14.02
1-2
6.5%
15.33
2-2
5.1%
19.69
148%
2.07TOP
X25%
3.95
226%
3.78
1X73%
X251%
1274%
Probable XI4-4-2
Wang
Zhang
Zhu
Wang
Pengfei
Xu
Jin
Jun
Wang
Alan
Abduweli
Impact Player Hot Head
Составы ещё не объявлены — полный анализ игроков ниже
China PR41 игроков
57.0/ 99Сильный
Лучшие
1Songyuan ZhaoFWD83
2Wang ZimingFWD78
3Jiahui HuangMID76
Tajikistan19 игроков
44.1/ 99Средний
Лучшие
1O. BaklovGK46
2Rustam YatimovGK46
3Alisher DzhalilovMID46
China PR79
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Songyuan Zhao83985050
Wang Ziming78795972
Jiahui Huang76894761
Wei Zhen75627172
Xi Yang Alex75589989
Xi Yang65526767
Liu Haofan63674561
Tianyi Gao63518556
Chenjie Zhu62614667
Jiang Guangtai62714556
Bin Xu62406478
Dai Wei Jun62586956
Huang Shenghao62546661
Tajikistan58
PlayerОбщий РейтингВлияниеАгрессияДисциплина
O. Baklov46454550
Rustam Yatimov46454550
Alisher Dzhalilov46454550
Alisher Shukurov46454550
Furkon Rakhimzoda46454550
Salokhiddin Irgashev46454550
Akhtam Nazarov45454550
Alijon Karomatullozoda45454550
Sodikdzhon Kurbonov45454550
Muhammadjoni Hasan45454550
Rustam Soirov45454550
Shahrom Samiev45454550
Sheriddin Boboev45454550
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Songyuan ZhaoChina PR
98
2
Wang ZimingChina PR
79
3
Zhu PengyuChina PR
61
4
Zhang YuningChina PR
60
5
Wu LeiChina PR
59
Стена
Лучшие защитники
1
Jiang GuangtaiChina PR
71
2
Liu HaofanChina PR
67
3
Wei ZhenChina PR
62
4
Chenjie ZhuChina PR
61
5
Umidjan YusupChina PR
59
Контроль
Лучшие плеймейкеры
1
Jiahui HuangChina PR
89
2
Shangyuan WangChina PR
87
3
Mao WeijieChina PR
71
4
Yang MingyangChina PR
65
5
Dai Wei JunChina PR
58
Хулиганы
Склонны к карточкам
1
Behram AbduweliChina PR
3
2
Zhang YuningChina PR
3
3
Shangyuan WangChina PR
14
4
Hao LiChina PR
50
5
Liu DianzuoChina PR
50
Рейтинг силы
Сильнейшие в целом
1
Songyuan ZhaoChina PR
83
2
Wang ZimingChina PR
78
3
Jiahui HuangChina PR
76
4
Wei ZhenChina PR
75
5
Xi Yang AlexChina PR
75

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for China PR vs Tajikistan 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 China PR vs Tajikistan 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 China PR 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 China PR vs Tajikistan 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 China PR 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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