· Friendly International
China PR
ATT
4/10
DEF
6/10
vs
Turkmenistan
5/10
ATT
5/10
DEF
Planlandı· Fri 2 Oct · 11:35
En iyi tahmin
KG VAR
53%
Doğru skor
Mükemmel
1-1
12.1%
8.28
Mükemmel
1-0
10.7%
9.36
2-1
9.3%
10.79
2-0
8.2%
12.19
0-1
7.9%
12.71
0-0
7%
14.36
1-2
6.8%
14.66
2-2
5.2%
19.10
147%
2.15TOP
X25%
3.94
228%
3.57
1X72%
X253%
1275%
Probable XI4-4-2
Wang
Zhang
Zhu
Wang
Pengfei
Xu
Jin
Jun
Wang
Alan
Abduweli
Impact Player Hot Head
Kadrolar henüz açıklanmadı — aşağıda tam kadro analizi
China PR27 oyuncu
54.9/ 99Orta
En İyiler
1Xi Yang AlexDEF75
2Wei ZhenDEF70
3Jiahui HuangMID69
Turkmenistan22 oyuncu
Kadro verisi yok
Hangeldi BerdiyevGK
Resul ÇaryýewGK
Rustem AhallyyevGK
Abdy ByashimovDEF
Guychmyrat AnnagulyyevDEF
Hakmuhammet BäsimowDEF
Mekan SaparovDEF
Sapargulyyev ArzuvgulyDEF
Ybraýym MämmedowDEF
Yhlas ToyjanovDEF
Mirza BeknazarovMID
Resul KhozhaevMID
Teymur CharyyevMID
China PR79
PlayerGenel DereceEtkiAgresyonDisiplin
Xi Yang Alex75589989
Wei Zhen70606867
Jiahui Huang69764961
Xi Yang65526767
Li Yang63547456
Liu Haofan62664561
Bin Xu62406378
Zhu Pengyu62626456
Chenjie Zhu61604567
Umidjan Yusup60595756
Mao Weijie60704550
Dai Wei Jun57457956
Lin Liangming57526161
Turkmenistan22
PlayerGenel DereceEtkiAgresyonDisiplin
Hangeldi Berdiyev————
Resul Çaryýew————
Rustem Ahallyyev————
Abdy Byashimov————
Guychmyrat Annagulyyev————
Hakmuhammet Bäsimow————
Mekan Saparov————
Sapargulyyev Arzuvguly————
Ybraýym Mämmedow————
Yhlas Toyjanov————
Mirza Beknazarov————
Resul Khozhaev————
Teymur Charyyev————
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Zhu PengyuChina PR
62
2
Zhang YuningChina PR
61
3
Wu LeiChina PR
59
4
Lin LiangmingChina PR
52
5
Behram AbduweliChina PR
46
Duvar
En iyi savunmacılar
1
Liu HaofanChina PR
66
2
Chenjie ZhuChina PR
60
3
Wei ZhenChina PR
60
4
Umidjan YusupChina PR
59
5
Xi Yang AlexChina PR
58
Kontrol
En iyi oyun kurucular
1
Jiahui HuangChina PR
76
2
Mao WeijieChina PR
70
3
SerginhoChina PR
58
4
Shangyuan WangChina PR
54
5
Dai Wei JunChina PR
45
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Behram AbduweliChina PR
1
2
Zhang YuningChina PR
1
3
Shangyuan WangChina PR
12
4
Hao LiChina PR
50
5
Liu DianzuoChina PR
50
Güç sıralaması
Genel olarak en güçlüler
1
Xi Yang AlexChina PR
75
2
Wei ZhenChina PR
70
3
Jiahui HuangChina PR
69
4
Xi YangChina PR
65
5
Li YangChina PR
63

Sıkça Sorulan Sorular

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