Chivas’ attacking edge and relentless home pressure should force the breakthrough, while Atlante’s need to respond could open the contest. With momentum building and chances likely to arrive from both sides, goals appear destined to clear the line.
Match GoalsOver 2.5
Best Pick
Home Win
62%
Correct Score
Top
1-0
11.1%
8.50
Top
2-0
10.8%
8.00
1-1
10.2%
9.00
2-1
9.9%
8.50
3-0
7.1%
10.00
3-1
6.5%
11.00
0-0
5.7%
17.00
0-1
5.2%
21.00
162%
1.44TOP
X21%
4.75
217%
6.50
1X83%
X238%
1279%
Combined Bet Builder
3 legs
Chivas’ third-place standing and +25% attack edge over 16th-placed Atlante point to a home-led contest. Their 1.67 full-match xG and 1.24 first-half xG support an early advantage, while Atlante’s 0.83 xG and weak 0.26 first-half mark leave them vulnerable. Chivas should drive the win, with enough scoring potential to take the match over 2.5 goals.
1Match WinnerGuadalajara Chivas
2Match GoalsOver 2.5
3First Half WinnerGuadalajara Chivas
Confirmed XI2-5-3
1
Aguilar
23
Domínguez
3
Campillo
16
Rey
30
Sandoval
6
García
28
Pineda
5
Oliván
25
Hernández
10
Álvarez
17
Marín
Impact Player Hot Head
Guadalajara Chivas32 players
51.7/ 99Average
Top Rated
1Armando GonzálezFWD78
2Sergio AguayoFWD71
3Ricardo MarínFWD69
Atlante27 players
54.7/ 99Average
Top Rated
1Jairón CharcopaFWD86
2Leonardo MejíaMID74
3Eduardo TerceroDEF72
Player Rankings
Snipers
Top goal threats
1
Jairón CharcopaAtlante
99
2
Armando GonzálezGuadalajara Chivas
85
3
Sergio AguayoGuadalajara Chivas
77
4
Ricardo MarínGuadalajara Chivas
60
5
Martín SarrafioreAtlante
51
Wall
Top defenders
1
Eduardo TerceroAtlante
81
2
Nico CarreraAtlante
73
3
Miguel TapiasGuadalajara Chivas
72
4
Diogo Osmar Bagüí TobarAtlante
67
5
Diego CampilloGuadalajara Chivas
65
Control
Top playmakers
1
Octavio VázquezAtlante
71
2
Kevin CastañedaGuadalajara Chivas
70
3
Leonardo MejíaAtlante
69
4
Brian GutiérrezGuadalajara Chivas
67
5
Efraín ÁlvarezGuadalajara Chivas
67
Bad Boys
Most likely to get booked
1
Ángel SepúlvedaGuadalajara Chivas
1
Aggression 41
2
Yael PadillaGuadalajara Chivas
1
Aggression 80
3
Omar Nicolás Govea GarcíaGuadalajara Chivas
14
Aggression 46
4
Nico CarreraAtlante
14
Aggression 77
5
Eugenio PizzutoAtlante
14
Aggression 52
Power Rankings
Strongest overall
1
Jairón CharcopaAtlante
86
2
Armando GonzálezGuadalajara Chivas
78
3
Leonardo MejíaAtlante
74
4
Eduardo TerceroAtlante
72
5
Sergio AguayoGuadalajara Chivas
71
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Guadalajara Chivas vs Atlante 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 Guadalajara Chivas vs Atlante 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 Guadalajara Chivas 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 Guadalajara Chivas vs Atlante 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 Guadalajara Chivas 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.