· Women's Asian Games
South Korea W
ATT
5/10
DEF
6/10
6:3
Uzbekistan W
5/10
ATT
5/10
DEF
Конец
Лучший выбор
Больше 2.5
76%
Точный счёт95′
Отличная
2-1
8.3%
15.00
1-1
7.2%
21.00
2-2
7%
34.00
3-1
6.4%
15.00
1-2
6%
51.00
3-2
5.4%
41.00
2-0
5%
8.00
1-0
4.3%
13.00
152%
1.92TOP
X20%
5.03
228%
3.57
1X72%
X248%
1280%
xG — Ожидаемые голы
South Korea W
South Korea W ожид.
Uzbekistan W
Uzbekistan W ожид.
goal
за 15 мин
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
South Korea W
Uzbekistan W
Probable XI4-4-2
Ji-Yeon
Hyo-Joo
Sel-Gi
Min-Ah
You-Jin
Yu-Ri
Song
So-Yun
Min-Young
Phair
Seul-Gi
Impact Player Hot Head

Часто задаваемые вопросы

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