· Friendly International
Korea Republic
ATT
5/10
DEF
3/10
vs
Uzbekistan
4/10
ATT
5/10
DEF
Planlandı· Tue 6 Oct · 11:00
En iyi tahmin
KG VAR
53%
Doğru skor
Mükemmel
1-1
11.8%
8.46
Mükemmel
1-0
10.7%
9.33
2-1
9.5%
10.56
2-0
8.6%
11.64
0-1
7.4%
13.57
0-0
6.7%
14.95
1-2
6.5%
15.36
2-2
5.2%
19.16
149%
2.04TOP
X25%
4.02
226%
3.82
1X74%
X251%
1275%
Probable XI4-4-2
Song
Ha
Lee
Kim
Lee
Kim
Lee
Jung
Kwon
Cho
Hwang
Impact Player Hot Head
Kadrolar henüz açıklanmadı — aşağıda tam kadro analizi
Korea Republic40 oyuncu
60.5/ 99Güçlü
En İyiler
1Gue-sung ChoFWD96
2Min-jae KimDEF94
3Ji-sung EomFWD92
Uzbekistan30 oyuncu
47.0/ 99Orta
En İyiler
1Igor SergeevFWD91
2Khuisain NorchaevFWD83
3Umar EshmuradovDEF61
Korea Republic82
PlayerGenel DereceEtkiAgresyonDisiplin
Gue-sung Cho96997978
Min-jae Kim94978170
Ji-sung Eom92969967
Hyeon-gyu Oh90994372
Jin-gyu Kim84997452
Heung-min Son81991261
Se-hun Oh78817756
Kim Tae-Hyeon75627278
Jens Castrop72539991
Yu-Min Cho71526783
Tae-joon Park71647661
Tae-seok Lee 67467378
Young-woo Seol 67466978
Uzbekistan71
PlayerGenel DereceEtkiAgresyonDisiplin
Igor Sergeev91998256
Khuisain Norchaev83994550
Umar Eshmuradov61744350
Abdukodir Khusanov57435372
Jakhongir Urozov56425172
Abdurauf Buriev56663950
Azizbek Amonov54545850
Mukhammadkodir Khamraliev53484761
Abduvokhid Nematov49491750
Utkir Yusupov49479956
Otabek Shukurov49373378
Abbosbek Fayzullaev49474956
Vladimir Nazarov46454550
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Gue-sung ChoKorea Republic
99
2
Heung-min SonKorea Republic
99
3
Hyeon-gyu OhKorea Republic
99
4
Igor SergeevUzbekistan
99
5
Khuisain NorchaevUzbekistan
99
Duvar
En iyi savunmacılar
1
Min-jae KimKorea Republic
97
2
Umar EshmuradovUzbekistan
74
3
Wi-je ChoKorea Republic
69
4
Kim Tae-HyeonKorea Republic
62
5
Yu-Min ChoKorea Republic
52
Kontrol
En iyi oyun kurucular
1
Jin-gyu KimKorea Republic
99
2
Jae-sung LeeKorea Republic
91
3
In-beom Hwang Korea Republic
78
4
Kang-in LeeKorea Republic
69
5
Abdurauf BurievUzbekistan
66
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Rustam AshurmatovUzbekistan
1
2
Hyun-jun YangKorea Republic
3
3
Jae-sung LeeKorea Republic
5
4
Won Du-JaeKorea Republic
5
5
In-beom Hwang Korea Republic
19
Güç sıralaması
Genel olarak en güçlüler
1
Gue-sung ChoKorea Republic
96
2
Min-jae KimKorea Republic
94
3
Ji-sung EomKorea Republic
92
4
Igor SergeevUzbekistan
91
5
Hyeon-gyu OhKorea Republic
90

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Korea Republic vs Uzbekistan 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 Korea Republic vs Uzbekistan 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 Korea Republic 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 Korea Republic vs Uzbekistan 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 Korea Republic 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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