· Primera Division
Deportivo Táchira
ATT
6/10
DEF
7/10
3:2
Academia Puerto Cabello
4/10
ATT
6/10
DEF
Full-time
Best Pick
Home Win
59%
Correct Score97′
Top
1-0
13%
7.00
Top
2-0
11.4%
10.00
1-1
11%
6.00
2-1
9.7%
9.50
0-0
7.4%
8.00
3-0
6.7%
21.00
0-1
6.3%
9.50
3-1
5.6%
19.00
159%
1.70TOP
X23%
4.29
218%
5.59
1X82%
X241%
1277%
xG — Expected Goals
Deportivo Táchira
Deportivo Táchira exp
Academia Puerto Cabello
Academia Puerto Cabello exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Deportivo Táchira
Academia Puerto Cabello
Confirmed XI4-5-1
1
Araque
45
Provenzano
41
Wilches
2
Sánchez
44
Tamiche
24
Caraballo
25
Pérez
27
Zuniga
10
Sosa
70
Ramirez
21
Reyes
Impact Player Hot Head
Deportivo Táchira62 players
55.8/ 99Strong
Top Rated
1Adrián Fernández FWD92
2Adalberto PeñarandaFWD89
3Valentín Nicolás Adamo ReyesFWD88
Academia Puerto Cabello31 players
49.8/ 99Average
Top Rated
1Edwuin PerníaFWD85
2Jayson MartínezMID72
3Musa IsahMID71
Player Rankings
Snipers
Top goal threats
1
Edwuin PerníaAcademia Puerto Cabello
99
2
Adrián Fernández Deportivo Táchira
98
3
Adalberto PeñarandaDeportivo Táchira
93
4
Rodrigo Pollero LópezDeportivo Táchira
90
5
Valentín Nicolás Adamo ReyesDeportivo Táchira
85
Wall
Top defenders
1
Nicolás VaquerDeportivo Táchira
77
2
Wilder WilchesDeportivo Táchira
72
3
Luis MagoDeportivo Táchira
69
4
G. FrattaDeportivo Táchira
68
5
Pablo CamachoDeportivo Táchira
66
Control
Top playmakers
1
Carlos SosaDeportivo Táchira
80
2
Luis Daniel González CovaDeportivo Táchira
76
3
Jeferson CaraballoDeportivo Táchira
71
4
Miguel VegasDeportivo Táchira
65
5
Daniel SaggiomoAcademia Puerto Cabello
63
Bad Boys
Most likely to get booked
1
Heiderber RamirezDeportivo Táchira
1
2
Luis CasianiAcademia Puerto Cabello
1
3
Jose Hernandez ChavezAcademia Puerto Cabello
1
4
Michael CoveaDeportivo Táchira
4
5
Wilfred CorreaDeportivo Táchira
7
Power Rankings
Strongest overall
1
Adrián Fernández Deportivo Táchira
92
2
Adalberto PeñarandaDeportivo Táchira
89
3
Valentín Nicolás Adamo ReyesDeportivo Táchira
88
4
Rodrigo Pollero LópezDeportivo Táchira
87
5
Edwuin PerníaAcademia Puerto Cabello
85

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Deportivo Táchira vs Academia Puerto Cabello 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 Deportivo Táchira vs Academia Puerto Cabello 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 Deportivo Táchira 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 Deportivo Táchira vs Academia Puerto Cabello 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 Deportivo Táchira 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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