· Thai League 1
Ratchaburi Mitr Phol FC
ATT
7/10
DEF
6/10
vs
Sukhothai FC
1/10
ATT
3/10
DEF
Naplánováno· Fri 9 Oct · 11:00
Nejlepší tip
Domácí výhra
77%
Přesný výsledek
Výborná
2-0
16.2%
6.18
Výborná
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
Sestavy ještě nebyly oznámeny — níže kompletní analýza kádru
Ratchaburi Mitr Phol FC31 hráči
52.2/ 99Průměrný
Nejlepší
1Njiva Tsilavina Martin RakotoharimalalaFWD90
2Robert ZuljFWD79
3Sorawit PanthongMID70
Sukhothai FC25 hráči
49.7/ 99Průměrný
Nejlepší
1Luccas BarretoMID68
2Thiti ThumpornDEF64
3CláudioDEF63
Ratchaburi Mitr Phol FC38
PlayerCelkové HodnoceníImpaktAgreseDisciplína
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
Sukhothai FC33
PlayerCelkové HodnoceníImpaktAgreseDisciplína
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
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Njiva Tsilavina Martin RakotoharimalalaRatchaburi Mitr Phol FC
99
2
Robert ZuljRatchaburi Mitr Phol FC
91
3
DenílsonRatchaburi Mitr Phol FC
74
4
GleysonRatchaburi Mitr Phol FC
63
5
Nathan PalafozSukhothai FC
61
Zeď
Nejlepší obránci
1
CláudioSukhothai FC
89
2
Jonathan KhemdeeRatchaburi Mitr Phol FC
73
3
Sarawut KanlayanabanditSukhothai FC
71
4
Adison PromrakRatchaburi Mitr Phol FC
69
5
Saringkan PromsupaSukhothai FC
65
Kontrola
Nejlepší tvůrci hry
1
TanaRatchaburi Mitr Phol FC
69
2
Thanawat SuengchitthawonRatchaburi Mitr Phol FC
69
3
Siwakorn JakkuprasatRatchaburi Mitr Phol FC
66
4
Ratchanat AranpirojSukhothai FC
62
5
Roque MesaRatchaburi Mitr Phol FC
57
Zlobivci
Nejpravděpodobnější žlutá karta
1
Siwakorn JakkuprasatRatchaburi Mitr Phol FC
1
2
Pharadon PhatthaphonSukhothai FC
1
3
Sarawut KanlayanabanditSukhothai FC
1
4
Ratchanat AranpirojSukhothai FC
3
5
Saringkan PromsupaSukhothai FC
6
Žebříček síly
Nejsilnější celkově
1
Njiva Tsilavina Martin RakotoharimalalaRatchaburi Mitr Phol FC
90
2
Robert ZuljRatchaburi Mitr Phol FC
79
3
Sorawit PanthongRatchaburi Mitr Phol FC
70
4
Adison PromrakRatchaburi Mitr Phol FC
69
5
Luccas BarretoSukhothai FC
68

Frequently Asked Questions

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