· Liga MX
America
ATT
5/10
DEF
6/10
vs
Xolos de Tijuana
5/10
ATT
4/10
DEF
Scheduled· Thu 29 Oct · 03:00
Best Pick
BTTS
54%
Correct Score
Top
1-1
11.4%
9.50
Top
1-0
10.6%
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

Lineups not yet announced — full squad analysis below
America40 players
54.1/ 99Average
Top Rated
1Óscar PereaFWD95
2Miguel BorjaFWD93
3Brian RodríguezFWD80
Xolos de Tijuana28 players
46.0/ 99Average
Top Rated
1Elias ManoelFWD74
2Alejandro GómezDEF69
3Unai BilbaoDEF68
America44
PlayerOverall RatingImpactAggressionDiscipline
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
PlayerOverall RatingImpactAggressionDiscipline
Elias Manoel74864150
Alejandro Gómez69675963
Unai Bilbao68865046
Diogo Osmar Bagüí Tobar63674861
Rafael Fernández60406968
Aldahir Pérez60565661
Jackson Porozo56814229
Alejandro Magallón Fernández55564956
Antonio Rodríguez52533750
Shamar Nicholson52525050
Frank Boya50355863
Kevin Castañeda50703432
Joban González Cera48484950
Player Rankings
Snipers
Top goal threats
1
Óscar PereaAmerica
99
2
Miguel BorjaAmerica
95
3
Brian RodríguezAmerica
89
4
Elias ManoelXolos de Tijuana
86
5
Alejandro CárdenasAmerica
57
Wall
Top defenders
1
Unai BilbaoXolos de Tijuana
86
2
Jackson PorozoXolos de Tijuana
81
3
Nicolás DíazXolos de Tijuana
69
4
Alejandro GómezXolos de Tijuana
67
5
Diogo Osmar Bagüí TobarXolos de Tijuana
67
Control
Top playmakers
1
Alan CervantesAmerica
74
2
Jonathan dos SantosAmerica
73
3
LimaAmerica
70
4
Kevin CastañedaXolos de Tijuana
70
5
Iván TonaXolos de Tijuana
69
Bad Boys
Most likely to get booked
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
Power Rankings
Strongest overall
1
Óscar PereaAmerica
95
2
Miguel BorjaAmerica
93
3
Brian RodríguezAmerica
80
4
Jonathan dos SantosAmerica
75
5
Elias ManoelXolos de Tijuana
74

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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