Both sides arrive with vulnerable defenses, while Atlante’s home chance creation and San Luis’s sharper attacking edge point toward an open contest. Sustained pressure should expose gaps, making goals at both ends and the over the likeliest script.
Match GoalsOver 2.5
Лучший выбор
ОБЕ ЗАБЬЮТ
55%
Точный счёт
Отличная
1-1
12%
6.50
Отличная
1-0
9.7%
9.50
2-1
9%
9.00
0-1
8.1%
12.00
1-2
7.4%
12.00
2-0
7.3%
12.00
0-0
6.5%
12.00
2-2
5.6%
12.00
143%
2.25TOP
X25%
3.50
231%
3.10
1X68%
X256%
1274%
Экспресс
3 выборов
A combined 2.95 xG points toward Over 2.5 goals, while both defenses are leaky, giving both teams to score a strong platform. The sides also average 9.51 expected corners combined, making Over 8.5 corners a logical fit as this open matchup develops.
1Match GoalsOver 2.5
2Both Teams to ScoreYes
3Corners Over/UnderOver 8.5
Confirmed XI4-5-1
1
Jiménez
29
Portales
6
Carrera
4
Tercero
44
Quirós
34
Jiménez
30
Sarrafiore
8
Pizzuto
19
Calzadilla
7
Julio
9
Prado
Impact Player Hot Head
Atlante27 игроков
54.8/ 99Средний
Лучшие
1Jairón CharcopaFWD86
2Eduardo TerceroDEF74
3Leonardo MejíaMID74
Atlético San Luis28 игроков
46.1/ 99Средний
Лучшие
1Fidel Junior Barajas JuárezFWD75
2Sébastien Salles-LamongeMID69
3JuanpeDEF60
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Jairón CharcopaAtlante
99
2
Fidel Junior Barajas JuárezAtlético San Luis
91
3
João PedroAtlético San Luis
65
4
Martín SarrafioreAtlante
51
5
L. CalzadillaAtlante
49
Стена
Лучшие защитники
1
Eduardo TerceroAtlante
83
2
Nico CarreraAtlante
73
3
Diogo Osmar Bagüí TobarAtlante
68
4
Cristóbal Saúl Alfaro AvilésAtlante
60
5
Eduardo ÁguilaAtlético San Luis
60
Контроль
Лучшие плеймейкеры
1
Sébastien Salles-LamongeAtlético San Luis
75
2
Octavio VázquezAtlante
71
3
Leonardo MejíaAtlante
69
4
Eugenio PizzutoAtlante
65
5
Javier IbarraAtlante
54
Хулиганы
Склонны к карточкам
1
Aldo CruzAtlético San Luis
5
Агрессия 33
2
Nico CarreraAtlante
7
Агрессия 80
3
Julio César DomínguezAtlético San Luis
8
Агрессия 38
4
Lucas EstevesAtlético San Luis
14
Агрессия 63
5
Eugenio PizzutoAtlante
20
Агрессия 51
Рейтинг силы
Сильнейшие в целом
1
Jairón CharcopaAtlante
86
2
Fidel Junior Barajas JuárezAtlético San Luis
75
3
Eduardo TerceroAtlante
74
4
Leonardo MejíaAtlante
74
5
Armando EscobarAtlante
71
Часто задаваемые вопросы
Our Poisson model calculates the probability of every possible scoreline for Atlante vs Atlético San Luis 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 Atlante vs Atlético San Luis 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 Atlante 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 Atlante vs Atlético San Luis 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 Atlante 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.