· Liga MX
America
ATT
5/10
DEF
6/10
vs
Xolos de Tijuana
5/10
ATT
4/10
DEF
Naplánováno· Thu 29 Oct · 03:00
Nejlepší tip
OBÁ SKÓRUJÍ
54%
Přesný výsledek
Výborná
1-1
11.4%
9.50
Výborná
1-0
10.5%
9.00
2-1
9.7%
8.50
2-0
9%
7.50
0-1
6.7%
26.00
0-0
6.2%
17.00
1-2
6.2%
23.00
3-1
5.5%
11.00
152%
1.33TOP
X24%
4.75
224%
9.00
1X76%
X248%
1276%
Probable XI3-5-2
Tapia
Borja
Espinoza
Lara
Cervantes
Gutiérrez
Álvarez
Cerrillo
Sánchez
Cárdenas
Zendejas
Impact Player Hot Head Shooter

Cristián Borja — lives for the goal, and when he smells a chance he rarely hesitates

Santiago Ramos Mingo — the danger man up front — one good ball and he is away

Carlos Álvarez — always sniffing around the box — the kind of player who just ends up on the scoresheet

Sestavy ještě nebyly oznámeny — níže kompletní analýza kádru
America40 hráči
54.0/ 99Průměrný
Nejlepší
1Óscar PereaFWD95
2Miguel BorjaFWD93
3Brian RodríguezFWD80
Xolos de Tijuana28 hráči
45.8/ 99Průměrný
Nejlepší
1Elias ManoelFWD77
2Alejandro GómezDEF71
3Unai BilbaoDEF69
America44
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Óscar Perea95997272
Miguel Borja93956583
Brian Rodríguez80893272
Jonathan dos Santos75734979
Santiago Ramos Mingo72605383
Miguel Ramírez71579978
Santiago Bueno68585278
Derek Jiménez68608656
Lima65703967
Edwin Cerrillo63588252
Dagoberto Espinoza61325791
Alejandro Cárdenas58575656
Alexis Gutiérrez57463683
Xolos de Tijuana34
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Elias Manoel77913750
Alejandro Gómez71685967
Unai Bilbao69874946
Diogo Osmar Bagüí Tobar63674861
Rafael Fernández60406869
Aldahir Pérez60565661
Alejandro Magallón Fernández55564956
Jackson Porozo55804229
Antonio Rodríguez52533650
Shamar Nicholson52525050
Frank Boya50355863
Kevin Castañeda50703432
Ignacio Rivero 49366456
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Óscar PereaAmerica
99
2
Miguel BorjaAmerica
95
3
Elias ManoelXolos de Tijuana
91
4
Brian RodríguezAmerica
89
5
Alejandro CárdenasAmerica
57
Zeď
Nejlepší obránci
1
Unai BilbaoXolos de Tijuana
87
2
Jackson PorozoXolos de Tijuana
80
3
Nicolás DíazXolos de Tijuana
69
4
Alejandro GómezXolos de Tijuana
68
5
Diogo Osmar Bagüí TobarXolos de Tijuana
67
Kontrola
Nejlepší tvůrci hry
1
Alan CervantesAmerica
74
2
Jonathan dos SantosAmerica
73
3
LimaAmerica
70
4
Kevin CastañedaXolos de Tijuana
70
5
Iván TonaXolos de Tijuana
69
Zlobivci
Nejpravděpodobnější žlutá karta
1
Isaías ViolanteAmerica
1
2
José Raúl ZúñigaAmerica
1
3
Aarón MejíaXolos de Tijuana
1
4
Ángel ZapataXolos de Tijuana
1
5
Yael PadillaXolos de Tijuana
1
Žebříček síly
Nejsilnější celkově
1
Óscar PereaAmerica
95
2
Miguel BorjaAmerica
93
3
Brian RodríguezAmerica
80
4
Elias ManoelXolos de Tijuana
77
5
Jonathan dos SantosAmerica
75

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for America vs Xolos de Tijuana 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 America vs Xolos de Tijuana 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 America 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 America vs Xolos de Tijuana 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 America 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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