· Friendly International
China PR
ATT
4/10
DEF
4/10
vs
Tajikistan
5/10
ATT
5/10
DEF
Naplánováno· Tue 6 Oct · 11:35
Nejlepší tip
OBÁ SKÓRUJÍ
53%
Přesný výsledek
Výborná
1-1
12.4%
8.08
Výborná
1-0
10.5%
9.54
2-1
8.9%
11.23
0-1
8.6%
11.64
2-0
7.5%
13.25
1-2
7.3%
13.70
0-0
7.3%
13.73
2-2
5.3%
19.03
143%
2.32TOP
X26%
3.84
231%
3.23
1X69%
X257%
1274%
Probable XI4-4-2
Wang
Zhang
Zhu
Wang
Pengfei
Xu
Jin
Jun
Wang
Alan
Abduweli
Impact Player Hot Head
Sestavy ještě nebyly oznámeny — níže kompletní analýza kádru
China PR41 hráči
58.6/ 99Silný
Nejlepší
1Wang ZimingFWD94
2Jiahui HuangMID89
3Wei ZhenDEF83
Tajikistan19 hráči
44.1/ 99Průměrný
Nejlepší
1O. BaklovGK46
2Rustam YatimovGK46
3Alisher DzhalilovMID46
China PR79
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Wang Ziming94966878
Jiahui Huang89946372
Wei Zhen83787272
Songyuan Zhao83994550
Xi Yang Alex75589989
Huang Shenghao69527978
Jiang Guangtai67794656
Xi Yang65526767
Shangyuan Wang64915330
Chenjie Zhu62614667
Li Yang62576856
Liu Haofan62674561
Bin Xu62406378
Tajikistan58
PlayerCelkové HodnoceníImpaktAgreseDisciplína
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
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Songyuan ZhaoChina PR
99
2
Wang ZimingChina PR
96
3
Qianglong TaoChina PR
62
4
Zhu PengyuChina PR
61
5
Zhang YuningChina PR
60
Zeď
Nejlepší obránci
1
Jiang GuangtaiChina PR
79
2
Wei ZhenChina PR
78
3
Liu HaofanChina PR
67
4
Chenjie ZhuChina PR
61
5
Umidjan YusupChina PR
59
Kontrola
Nejlepší tvůrci hry
1
Jiahui HuangChina PR
94
2
Shangyuan WangChina PR
91
3
Mao WeijieChina PR
70
4
Yang MingyangChina PR
65
5
SerginhoChina PR
58
Zlobivci
Nejpravděpodobnější žlutá karta
1
Behram AbduweliChina PR
3
2
Zhang YuningChina PR
3
3
Zhunyi GaoChina PR
27
4
Shangyuan WangChina PR
30
5
Hao LiChina PR
50
Žebříček síly
Nejsilnější celkově
1
Wang ZimingChina PR
94
2
Jiahui HuangChina PR
89
3
Wei ZhenChina PR
83
4
Songyuan ZhaoChina PR
83
5
Xi Yang AlexChina PR
75

Frequently Asked Questions

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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