Pumas’ sharper attack should keep Puebla’s fragile defense under pressure, while the hosts’ home threat offers a route into the contest. With chances expected at both ends, momentum points toward an open, goal-rich Liga MX encounter.
Match GoalsOver 2.5
Best Pick
BTTS
52%
Correct Score
Top
1-1
12.3%
7.00
Top
0-1
11%
10.00
1-2
9.1%
9.50
1-0
8.4%
12.00
0-2
8.1%
13.00
0-0
7.5%
13.00
2-1
6.9%
11.00
2-2
5.1%
12.00
129%
2.63
X26%
3.40
245%
2.50TOP
1X55%
X271%
1274%
Combined Bet Builder
4 legs
Pumas’ 1.58 xG and solid attack give them the edge, while Puebla’s fragile defense should offer chances for the visitors to avoid defeat. Their combined 2.69 xG supports over 1.5 goals and a first-half breakthrough; expected corners total 10, making over 8.5 a logical fit.
1Double ChanceDraw or Pumas UNAM
2Match GoalsOver 1.5
3Corners Over/UnderOver 8.5
4First Half Over/UnderOver 0.5
Confirmed XI4-5-1
28
Gutiérrez
12
Moreno
5
Almada
4
Vargas
7
Monárrez
24
Organista
14
Armenta
27
Garnica
10
Tomás
8
Moreno
9
Hernández
Impact Player Hot Head
Puebla38 players
50.2/ 99Average
Top Rated
1Miguel RamírezMID71
2José Pachuca DEF70
3Ángelo AraosMID69
Pumas UNAM31 players
49.7/ 99Average
Top Rated
1Sebastián CórdovaMID67
2Luciano HerreraFWD67
3Israel Luna LópezMID62
Player Rankings
Snipers
Top goal threats
1
Edgar GuerraPuebla
70
2
Guillermo Martínez AyalaPumas UNAM
70
3
Luifer Hernández Puebla
66
4
Luciano HerreraPumas UNAM
62
5
Emiliano GómezPuebla
61
Wall
Top defenders
1
Tony LeonePumas UNAM
78
2
Eduardo Ramsés Navarro AgramontPuebla
74
3
Juan Pablo VargasPuebla
73
4
Ángel Amhed Azuaje GarcíaPumas UNAM
71
5
Facundo AlmadaPuebla
70
Control
Top playmakers
1
Adalberto Eliécer Carrasquilla AlcázarPumas UNAM
69
2
Pedro Jeampierre Vite UcaPumas UNAM
59
3
Miguel RamírezPuebla
57
4
Mathías TomásPuebla
53
5
Alejandro OrganistaPuebla
51
Bad Boys
Most likely to get booked
1
Ignacio Maestro PuchPuebla
1
Aggression 81
2
César GarzaPumas UNAM
1
Aggression 59
3
Ángel LeyvaPuebla
5
Aggression 42
4
Ángel Amhed Azuaje GarcíaPumas UNAM
7
Aggression 38
5
Heriberto JuradoPuebla
9
Aggression 99
Power Rankings
Strongest overall
1
Miguel RamírezPuebla
71
2
José Pachuca Puebla
70
3
Ángelo AraosPuebla
69
4
Sebastián CórdovaPumas UNAM
67
5
Luciano HerreraPumas UNAM
67
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Puebla vs Pumas UNAM 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 Puebla vs Pumas UNAM 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 Puebla 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 Puebla vs Pumas UNAM 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 Puebla 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.