· Primera B Nacional
Deportivo Morón
ATT
8/10
DEF
5/10
vs
Ciudad de Bolívar
5/10
ATT
7/10
DEF
Запланирован· Sat 31 Oct · 19:00
Лучший выбор
Меньше 2.5
61%
Точный счёт
Отличная
1-0
16.3%
5.00
Отличная
2-0
12.4%
6.50
1-1
11.6%
7.00
0-0
10.7%
6.50
2-1
8.8%
9.50
0-1
7.6%
10.00
3-0
6.3%
13.00
3-1
4.5%
19.00
157%
1.73TOP
X26%
3.30
217%
5.50
1X83%
X243%
1274%
Probable XI4-4-2
Díaz
Salvareschi
Iñíguez
Lazza
Flores
Franco
Gonzalez
Berterame
Olivares
Bulacio
Contreras
Impact Player Hot Head
Составы ещё не объявлены — полный анализ игроков ниже
Deportivo Morón31 игроков
52.6/ 99Средний
Лучшие
1David Ezequiel BulacioFWD85
2Francisco FloresDEF78
3Emanuel IñíguezDEF71
Ciudad de Bolívar26 игроков
45.0/ 99Средний
Лучшие
1Elias MartinezDEF77
2Agustín ParedesDEF63
3Carlos Emanuel Cuello AzambuyaDEF60
Deportivo Morón38
PlayerОбщий РейтингВлияниеАгрессияДисциплина
David Ezequiel Bulacio85966553
Francisco Flores78687373
Emanuel Iñíguez71539982
Joaquin Zappacosta71926219
Tomás Ariel Ramírez70656267
Leonel Maximiliano Ramírez69577961
Franco Fagúndez62626256
Matías Benítez62645156
Joaquín Livera59316881
Mauro Burruchaga57417958
Iván Manuel Vaquero55415072
Juan Manuel Olivares55755926
Gonzalo Berterame54565449
Ciudad de Bolívar39
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Elias Martinez77996044
Agustín Paredes63418170
Carlos Emanuel Cuello Azambuya60338484
Tobías Fernandez58386272
Tomás Guiacobini55415669
Agustín Rufinetti5454950
Nicolas Ihitz54528340
Federico Peralta53437847
Khalil Caraballo51369771
J. Chacón48523950
Maximiliano Gutiérrez47412177
Arnaldo Gonzalez4683321
A. Carrión45454550
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
David Ezequiel BulacioDeportivo Morón
96
2
Joaquin ZappacostaDeportivo Morón
92
3
Matías BenítezDeportivo Morón
64
4
Franco FagúndezDeportivo Morón
62
5
Franco TolozaDeportivo Morón
54
Стена
Лучшие защитники
1
Elias MartinezCiudad de Bolívar
99
2
Ezequiel NavarroCiudad de Bolívar
70
3
Francisco FloresDeportivo Morón
68
4
B. SalvareschiDeportivo Morón
64
5
Emilio LazzaDeportivo Morón
58
Контроль
Лучшие плеймейкеры
1
Arnaldo GonzalezCiudad de Bolívar
83
2
Juan Manuel OlivaresDeportivo Morón
75
3
Tomás Ariel RamírezDeportivo Morón
65
4
Gaston GonzalezDeportivo Morón
60
5
Gonzalo BerterameDeportivo Morón
56
Хулиганы
Склонны к карточкам
1
Arnaldo GonzalezCiudad de Bolívar
1
2
Guillermo SánchezCiudad de Bolívar
1
3
Emilio LazzaDeportivo Morón
5
4
Ezequiel NavarroCiudad de Bolívar
7
5
Cristian Vega Ciudad de Bolívar
13
Рейтинг силы
Сильнейшие в целом
1
David Ezequiel BulacioDeportivo Morón
85
2
Francisco FloresDeportivo Morón
78
3
Elias MartinezCiudad de Bolívar
77
4
Emanuel IñíguezDeportivo Morón
71
5
Joaquin ZappacostaDeportivo Morón
71

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for Deportivo Morón vs Ciudad de Bolívar 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 Morón vs Ciudad de Bolívar 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 Morón 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 Morón vs Ciudad de Bolívar 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 Morón 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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