· Thai League 1
Prachuap FC
ATT
5/10
DEF
6/10
vs
Sisaket United
6/10
ATT
5/10
DEF
Scheduled· Sun 8 Nov · 11:30
Best Pick
BTTS
52%
Correct Score
Top
1-1
12%
7.00
Top
1-0
11.1%
8.00
2-1
9.4%
8.50
2-0
8.8%
9.00
0-1
7.6%
15.00
0-0
7%
12.00
1-2
6.4%
15.00
2-2
5.1%
15.00
149%
1.70TOP
X25%
3.40
226%
4.20
1X74%
X251%
1275%
Probable XI4-4-2
99
Sama-aeh
4
Ugelvik
5
Airton
Thiangkham
3
Vilar
30
Wasungnoen
23
Thawornsak
19
Pinkaew
70
Jantum
14
Townsend
47
Phimpsang
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Prachuap FC29 players
48.2/ 99Average
Top Rated
1Phanthamit PrapanthFWD88
2Bernardo VilarDEF64
3Saharat KanyarojMID64
Sisaket United55 players
50.5/ 99Average
Top Rated
1Njiva Tsilavina Martin RakotoharimalalaFWD90
2Adison PromrakDEF82
3Narongrit KamnetMID78
Prachuap FC36
PlayerOverall RatingImpactAggressionDiscipline
41
Phanthamit Prapanth88919961
3
Bernardo Vilar64644767
8
Saharat Kanyaroj64804646
47
Chitsanuphong Phimpsang64791250
17
Édgar Méndez61536570
2
O. Thiangkham59694848
15
Jesper Nyholm58524077
5
Airton55573764
24
Wanchat Choosong55697129
23
Kannarin Thawornsak53495354
Iklas Sanron53386878
88
Jirapan Phasukihan52347457
20
Michel51445067
Sisaket United67
PlayerOverall RatingImpactAggressionDiscipline
92
Njiva Tsilavina Martin Rakotoharimalala90994672
15
Adison Promrak82757075
23
Narongrit Kamnet78646391
9
Jefinho75744483
42
Sorawit Panthong72587577
9
Gleyson64623678
6
Anderson Carneiro63793950
10
Sebas Moyano63655256
10
Deyvison Fernandes62732850
35
Isaac Honny61843642
7
Denílson61743338
14
Roque Mesa59658038
28
Todsawat Limwanasthian59475769
Player Rankings
Snipers
Top goal threats
1
Njiva Tsilavina Martin RakotoharimalalaSisaket United
99
2
Phanthamit PrapanthPrachuap FC
91
3
Chitsanuphong PhimpsangPrachuap FC
79
4
DenílsonSisaket United
74
5
JefinhoSisaket United
74
Wall
Top defenders
1
Isaac HonnySisaket United
84
2
Anderson CarneiroSisaket United
79
3
Adison PromrakSisaket United
75
4
Jonathan KhemdeeSisaket United
72
5
O. ThiangkhamPrachuap FC
69
Control
Top playmakers
1
Saharat KanyarojPrachuap FC
80
2
Thanawat SuengchitthawonSisaket United
70
3
TanaSisaket United
68
4
Roque MesaSisaket United
65
5
Siwakorn JakkuprasatSisaket United
65
Bad Boys
Most likely to get booked
1
Jittiphat WasungnoenPrachuap FC
1
2
Andros TownsendPrachuap FC
1
3
Thanison PaibulkijcharoenSisaket United
1
4
Siwakorn JakkuprasatSisaket United
1
5
Sittichok Kannoo Sisaket United
1
Power Rankings
Strongest overall
1
Njiva Tsilavina Martin RakotoharimalalaSisaket United
90
2
Phanthamit PrapanthPrachuap FC
88
3
Adison PromrakSisaket United
82
4
Narongrit KamnetSisaket United
78
5
JefinhoSisaket United
75

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Prachuap FC vs Sisaket United 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 Prachuap FC vs Sisaket United 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 Prachuap 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 Prachuap FC vs Sisaket United 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 Prachuap 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.

HubTodayLiveCorrect ScoreAI SignalsPlayer props