· AFC Champions League Elite
Vissel Kobe
ATT
5/10
DEF
6/10
vs
Ratchaburi Mitrphol FC
5/10
ATT
5/10
DEF
Запланирован· Tue 3 Nov · 10:00
Лучший выбор
Победа хозяев
53%
Точный счёт
Отличная
1-0
11.7%
8.52
Отличная
1-1
11.7%
8.56
2-0
9.6%
10.37
2-1
9.6%
10.41
0-0
7.1%
14.01
0-1
7.1%
14.06
1-2
5.8%
17.18
3-0
5.3%
18.92
153%
1.90TOP
X25%
4.07
223%
4.37
1X78%
X248%
1276%
Probable XI4-4-2
Maekawa
Nduka
Caetano
Diego
Sakai
Sasaki
Ide
Ura
Hamasaki
Lopes
Erik
Impact Player Hot Head
Составы ещё не объявлены — полный анализ игроков ниже
Vissel Kobe29 игроков
51.3/ 99Средний
Лучшие
1Yosuke IdeguchiMID72
2Mitsuki HidakaMID70
3Ren KomatsuFWD68
Ratchaburi Mitrphol FC19 игроков
50.8/ 99Средний
Лучшие
1Njiva Tsilavina Martin RakotoharimalalaFWD83
2S. AllardiceMID67
3Phongsakorn SangkasophaMID55
Vissel Kobe45
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Yosuke Ideguchi72537291
Mitsuki Hidaka70547678
Ren Komatsu68566791
Tetsushi Yamakawa66843257
Kento Hamasaki66536372
Yoshinori Muto64595472
Diego63515672
Takuya Iwanami61694556
Daiju Sasaki59465472
Shuichi Gonda57591250
Erik55378491
Nanasei Iino54514761
Daiya Maekawa53532350
Ratchaburi Mitrphol FC37
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Njiva Tsilavina Martin Rakotoharimalala83975250
S. Allardice67518772
Phongsakorn Sangkasopha55475461
Tana54514661
Sai Van Wermeskerken52424867
Sidcley52574550
Thanawat Suengchitthawon52524356
Todsawat Limwanasthian51716622
Jonathan Khemdee50515050
Roque Mesa50546738
Bruno Mendes50504056
T. Aggoun49564941
Jonathan Viera49514550
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Njiva Tsilavina Martin RakotoharimalalaRatchaburi Mitrphol FC
97
2
Yoshinori MutoVissel Kobe
59
3
Ren KomatsuVissel Kobe
56
4
Bruno MendesRatchaburi Mitrphol FC
50
5
Hyoei KawabataVissel Kobe
45
Стена
Лучшие защитники
1
Tetsushi YamakawaVissel Kobe
84
2
Takuya IwanamiVissel Kobe
69
3
ThulerVissel Kobe
62
4
SidcleyRatchaburi Mitrphol FC
57
5
T. AggounRatchaburi Mitrphol FC
56
Контроль
Лучшие плеймейкеры
1
Todsawat LimwanasthianRatchaburi Mitrphol FC
71
2
Mitsuki HidakaVissel Kobe
54
3
Roque MesaRatchaburi Mitrphol FC
54
4
Kento HamasakiVissel Kobe
53
5
Takahiro OgiharaVissel Kobe
53
Хулиганы
Склонны к карточкам
1
Yuya KuwasakiVissel Kobe
1
2
ThulerVissel Kobe
11
3
Yuta GokeVissel Kobe
21
4
Todsawat LimwanasthianRatchaburi Mitrphol FC
22
5
Jesse CurranRatchaburi Mitrphol FC
24
Рейтинг силы
Сильнейшие в целом
1
Njiva Tsilavina Martin RakotoharimalalaRatchaburi Mitrphol FC
83
2
Yosuke IdeguchiVissel Kobe
72
3
Mitsuki HidakaVissel Kobe
70
4
Ren KomatsuVissel Kobe
68
5
S. AllardiceRatchaburi Mitrphol FC
67

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for Vissel Kobe vs Ratchaburi Mitrphol FC 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 Vissel Kobe vs Ratchaburi Mitrphol FC 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 Vissel Kobe 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 Vissel Kobe vs Ratchaburi Mitrphol FC 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 Vissel Kobe 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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