· Primera Division
Deportivo Táchira
ATT
6/10
DEF
7/10
3:2
Academia Puerto Cabello
4/10
ATT
6/10
DEF
Конец
Лучший выбор
Победа хозяев
59%
Точный счёт97′
Отличная
1-0
13%
7.00
Отличная
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 — Ожидаемые голы
Deportivo Táchira
Deportivo Táchira ожид.
Academia Puerto Cabello
Academia Puerto Cabello ожид.
goal
за 15 мин
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 игроков
55.8/ 99Сильный
Лучшие
1Adrián Fernández FWD92
2Adalberto PeñarandaFWD89
3Valentín Nicolás Adamo ReyesFWD88
Academia Puerto Cabello31 игроков
49.8/ 99Средний
Лучшие
1Edwuin PerníaFWD85
2Jayson MartínezMID72
3Musa IsahMID71
Рейтинги игроков
Снайперы
Главные голевые угрозы
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
Стена
Лучшие защитники
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
Контроль
Лучшие плеймейкеры
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
Хулиганы
Склонны к карточкам
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
Рейтинг силы
Сильнейшие в целом
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

Часто задаваемые вопросы

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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