· J-League
Gamba Osaka
ATT
5/10
DEF
5/10
2:2
Kyoto Sanga
4/10
ATT
5/10
DEF
Конец
Лучший выбор
ОБЕ ЗАБЬЮТ
54%
Точный счёт97′
Отличная
1-1
11.6%
7.50
Отличная
1-0
10.6%
9.00
2-1
9.6%
8.50
2-0
8.8%
10.00
0-1
7%
13.00
0-0
6.4%
13.00
1-2
6.3%
13.00
3-1
5.3%
15.00
150%
1.98TOP
X24%
4.09
225%
3.98
1X74%
X249%
1275%
xG — Ожидаемые голы
Gamba Osaka
Gamba Osaka ожид.
Kyoto Sanga
Kyoto Sanga ожид.
goal
за 15 мин
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Gamba Osaka
Kyoto Sanga
Confirmed XI4-5-1
22
Ichimori
15
Kishimoto
4
Nakatani
2
Fukuoka
47
Nakano
16
Suzuki
27
Mito
17
Yamashita
7
Usami
39
Sumi
11
Jebali
Impact Player Hot Head
Gamba Osaka33 игроков
54.5/ 99Средний
Лучшие
1Issam JebaliFWD79
2Shuto AbeMID77
3Naru NakatsumiFWD70
Kyoto Sanga32 игроков
50.1/ 99Средний
Лучшие
1Kodai NagataDEF78
2Yoshinori SuzukiDEF75
3Marco Túlio Oliveira LemosFWD75
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Rafael Elias da Silva BatagliaKyoto Sanga
99
2
Naru NakatsumiGamba Osaka
76
3
WeltonGamba Osaka
75
4
Marco Túlio Oliveira LemosKyoto Sanga
75
5
Deniz HümmetGamba Osaka
73
Стена
Лучшие защитники
1
Shota FukuokaGamba Osaka
81
2
WevertonKyoto Sanga
76
3
Yoshinori SuzukiKyoto Sanga
71
4
Shogo SasakiGamba Osaka
64
5
Kodai NagataKyoto Sanga
63
Контроль
Лучшие плеймейкеры
1
Fuchi HondaKyoto Sanga
84
2
Shuto AbeGamba Osaka
73
3
João Pedro Mendes SantosKyoto Sanga
62
4
Sung-Jun YoonKyoto Sanga
59
5
Takuji YonemotoKyoto Sanga
59
Хулиганы
Склонны к карточкам
1
Ryo HatsuseGamba Osaka
1
2
Deniz HümmetGamba Osaka
1
3
WevertonKyoto Sanga
1
4
Temma MatsudaKyoto Sanga
1
5
Alex SouzaKyoto Sanga
1
Рейтинг силы
Сильнейшие в целом
1
Issam JebaliGamba Osaka
79
2
Kodai NagataKyoto Sanga
78
3
Shuto AbeGamba Osaka
77
4
Yoshinori SuzukiKyoto Sanga
75
5
Marco Túlio Oliveira LemosKyoto Sanga
75

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for Gamba Osaka vs Kyoto Sanga 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 Gamba Osaka vs Kyoto Sanga 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 Gamba Osaka 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 Gamba Osaka vs Kyoto Sanga 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 Gamba Osaka 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.

HubСегодняПрямой эфирТочный счётAI СигналыPlayer props