· Thai Premier League
Ratchaburi Mitrphol FC
ATT
7/10
DEF
6/10
vs
Sukhothai
1/10
ATT
3/10
DEF
Запланирован· Fri 9 Oct · 11:00
Лучший выбор
Победа хозяев
77%
Точный счёт
Отличная
2-0
16.2%
6.18
Отличная
1-0
14.6%
6.85
3-0
11.9%
8.37
2-1
8.2%
12.22
1-1
7.4%
13.53
4-0
6.6%
15.12
0-0
6.6%
15.16
3-1
6%
16.55
177%
1.30TOP
X16%
6.12
27%
14.27
1X93%
X223%
1284%
Probable XI4-4-2
Pathomakkakul
Promrak
Gountounas
Ting
Curran
Viera
Srisuwan
Sangkasopha
Mesa
Mendes
Poomkeaw
Impact Player Hot Head
Составы ещё не объявлены — полный анализ игроков ниже
Ratchaburi Mitrphol FC31 игроков
52.2/ 99Средний
Лучшие
1Njiva Tsilavina Martin RakotoharimalalaFWD90
2Robert ZuljFWD79
3Sorawit PanthongMID70
Sukhothai25 игроков
49.7/ 99Средний
Лучшие
1Luccas BarretoMID68
2Thiti ThumpornDEF64
3CláudioDEF63
Ratchaburi Mitrphol FC38
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Njiva Tsilavina Martin Rakotoharimalala90994672
Robert Zulj79913659
Sorawit Panthong70577868
Adison Promrak69695664
Denílson65743451
Gleyson64633678
Kevin Deeromram57295191
Sanchai Nontasila56387757
Todsawat Limwanasthian56455269
Nopphon Lakhonphon5557950
Jonathan Khemdee55734834
Kampol Pathomakkakul54546856
Ukrit Wongmeema54543950
Sukhothai33
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Luccas Barreto68524591
Thiti Thumporn64537658
Cláudio63893240
Yan Victor63485478
Gustavo Apis63485578
Surawich Lokavit60417265
Chayawat Srinawong59605256
Jefferson De Assis59495678
Nathan Palafoz59614856
Murilo Souza56494967
Luan Gabriel Rodrigues53485556
Phiraphat Khamphaeng52582850
Kittipun Saensuk51521650
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Njiva Tsilavina Martin RakotoharimalalaRatchaburi Mitrphol FC
99
2
Robert ZuljRatchaburi Mitrphol FC
91
3
DenílsonRatchaburi Mitrphol FC
74
4
GleysonRatchaburi Mitrphol FC
63
5
Nathan PalafozSukhothai
61
Стена
Лучшие защитники
1
CláudioSukhothai
89
2
Jonathan KhemdeeRatchaburi Mitrphol FC
73
3
Sarawut KanlayanabanditSukhothai
71
4
Adison PromrakRatchaburi Mitrphol FC
69
5
Saringkan PromsupaSukhothai
65
Контроль
Лучшие плеймейкеры
1
TanaRatchaburi Mitrphol FC
69
2
Thanawat SuengchitthawonRatchaburi Mitrphol FC
69
3
Siwakorn JakkuprasatRatchaburi Mitrphol FC
66
4
Ratchanat AranpirojSukhothai
62
5
Roque MesaRatchaburi Mitrphol FC
57
Хулиганы
Склонны к карточкам
1
Siwakorn JakkuprasatRatchaburi Mitrphol FC
1
2
Pharadon PhatthaphonSukhothai
1
3
Sarawut KanlayanabanditSukhothai
1
4
Ratchanat AranpirojSukhothai
3
5
Saringkan PromsupaSukhothai
6
Рейтинг силы
Сильнейшие в целом
1
Njiva Tsilavina Martin RakotoharimalalaRatchaburi Mitrphol FC
90
2
Robert ZuljRatchaburi Mitrphol FC
79
3
Sorawit PanthongRatchaburi Mitrphol FC
70
4
Adison PromrakRatchaburi Mitrphol FC
69
5
Luccas BarretoSukhothai
68

Часто задаваемые вопросы

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