· Friendly International
India
ATT
6/10
DEF
5/10
vs
Uruguay
6/10
ATT
5/10
DEF
Naplánováno· Tue 6 Oct · 14:00
Nejlepší tip
OBÁ SKÓRUJÍ
55%
Přesný výsledek
Výborná
1-1
11.7%
8.58
Výborná
1-0
10.1%
9.90
2-1
9.5%
10.56
2-0
8.2%
12.18
0-1
7.2%
13.95
1-2
6.7%
14.89
0-0
6.2%
16.08
2-2
5.5%
18.32
148%
2.07TOP
X25%
4.06
227%
3.70
1X73%
X252%
1275%
Probable XI4-4-2
Gomes
Sangwan
Mishra
Ranawade
Ali
Thapa
Chhetri
Singh
Fernandes
Kuruniyan
Lalhlansanga
Impact Player Hot Head
Sestavy ještě nebyly oznámeny — níže kompletní analýza kádru
India14 hráči
45.4/ 99Průměrný
Nejlepší
1Gurpreet Singh SandhuGK46
2Anirudh ThapaMID46
3Lalengmawia LalengmawiaMID46
Uruguay38 hráči
52.8/ 99Průměrný
Nejlepší
1Emiliano MartínezMID80
2Federico ViñasFWD72
3Rodrigo ZalazarMID70
India80
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Gurpreet Singh Sandhu46454550
Anirudh Thapa46454550
Lalengmawia Lalengmawia46454550
Ricky John Shabong46454550
Sahal Abdul Samad46454550
Ryan Williams46464550
Akash Mishra45454550
Anwar Ali45454550
Bijoy Varghese45454550
Hmingthanmawia Ralte45454550
Jay Gupta45454550
Tekcham Abhishek Singh45454550
Ashique Kuruniyan45454550
Uruguay63
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Emiliano Martínez80679991
Federico Viñas72637483
Rodrigo Zalazar70676067
Darwin Núñez66636067
N. Marichal65666256
Ronald Araujo64827432
Joaquín Piquerez61456867
Marcelo Saracchi61525667
Santiago Bueno60526061
Santiago Mouriño60565561
Manuel Ugarte59547352
José Luis Rodríguez57495761
Mathías Olivera56584856
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Darwin NúñezUruguay
63
2
Federico ViñasUruguay
63
3
Facundo TorresUruguay
56
4
Ignacio LaquintanaUruguay
54
5
Brian RodríguezUruguay
51
Zeď
Nejlepší obránci
1
Ronald AraujoUruguay
82
2
N. MarichalUruguay
66
3
Mathías OliveraUruguay
58
4
Santiago MouriñoUruguay
56
5
Sebastián CáceresUruguay
55
Kontrola
Nejlepší tvůrci hry
1
Rodrigo BentancurUruguay
81
2
Emiliano MartínezUruguay
67
3
Rodrigo ZalazarUruguay
67
4
Giorgian de Arrascaeta Uruguay
63
5
Federico ValverdeUruguay
57
Zlobivci
Nejpravděpodobnější žlutá karta
1
José María Giménez Uruguay
1
2
Rodrigo AguirreUruguay
1
3
Rodrigo BentancurUruguay
16
4
Nahitan NándezUruguay
19
5
Nicolás FonsecaUruguay
25
Žebříček síly
Nejsilnější celkově
1
Emiliano MartínezUruguay
80
2
Federico ViñasUruguay
72
3
Rodrigo ZalazarUruguay
70
4
Darwin NúñezUruguay
66
5
N. MarichalUruguay
65

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for India vs Uruguay 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 India vs Uruguay 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 India 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 India vs Uruguay 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 India 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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