· AFC Champions League
Vissel Kobe
ATT
5/10
DEF
6/10
vs
Ratchaburi Mitr Phol FC
5/10
ATT
5/10
DEF
Scheduled· Tue 3 Nov · 10:00
Best Pick
Home Win
53%
Correct Score
Top
1-0
11.7%
8.52
Top
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
Lineups not yet announced — full squad analysis below
Vissel Kobe29 players
51.3/ 99Average
Top Rated
1Yosuke IdeguchiMID72
2Mitsuki HidakaMID70
3Ren KomatsuFWD68
Ratchaburi Mitr Phol FC19 players
50.8/ 99Average
Top Rated
1Njiva Tsilavina Martin RakotoharimalalaFWD83
2S. AllardiceMID67
3Phongsakorn SangkasophaMID55
Vissel Kobe45
PlayerOverall RatingImpactAggressionDiscipline
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 Mitr Phol FC37
PlayerOverall RatingImpactAggressionDiscipline
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
Player Rankings
Snipers
Top goal threats
1
Njiva Tsilavina Martin RakotoharimalalaRatchaburi Mitr Phol FC
97
2
Yoshinori MutoVissel Kobe
59
3
Ren KomatsuVissel Kobe
56
4
Bruno MendesRatchaburi Mitr Phol FC
50
5
Hyoei KawabataVissel Kobe
45
Wall
Top defenders
1
Tetsushi YamakawaVissel Kobe
84
2
Takuya IwanamiVissel Kobe
69
3
ThulerVissel Kobe
62
4
SidcleyRatchaburi Mitr Phol FC
57
5
T. AggounRatchaburi Mitr Phol FC
56
Control
Top playmakers
1
Todsawat LimwanasthianRatchaburi Mitr Phol FC
71
2
Mitsuki HidakaVissel Kobe
54
3
Roque MesaRatchaburi Mitr Phol FC
54
4
Kento HamasakiVissel Kobe
53
5
Takahiro OgiharaVissel Kobe
53
Bad Boys
Most likely to get booked
1
Yuya KuwasakiVissel Kobe
1
2
ThulerVissel Kobe
11
3
Yuta GokeVissel Kobe
21
4
Todsawat LimwanasthianRatchaburi Mitr Phol FC
22
5
Jesse CurranRatchaburi Mitr Phol FC
24
Power Rankings
Strongest overall
1
Njiva Tsilavina Martin RakotoharimalalaRatchaburi Mitr Phol FC
83
2
Yosuke IdeguchiVissel Kobe
72
3
Mitsuki HidakaVissel Kobe
70
4
Ren KomatsuVissel Kobe
68
5
S. AllardiceRatchaburi Mitr Phol FC
67

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Vissel Kobe vs Ratchaburi Mitr Phol 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 Mitr Phol 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 Mitr Phol 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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