· Serie A
Vasco da Gama
ATT
5/10
DEF
4/10
vs
Flamengo
9/10
ATT
6/10
DEF
Запланирован· Thu 29 Oct · 23:00

ИИ-анализ матча

Vasco and Flamengo both carry strong corner-winning habits, with each side regularly forcing the issue down the flanks. Their attacking profiles point to a lively, end-to-end contest where blocked crosses and hurried clearances should keep the flag busy. The defenses can limit chances, but that feels more like a speed bump than a stopper for Over 8.5.

Corners Over/UnderOver 8.5
Лучший выбор
ОБЕ ЗАБЬЮТ
53%
Точный счёт
Отличная
1-1
12%
6.50
Отличная
0-1
11%
8.00
1-2
9.4%
8.50
0-2
8.6%
10.00
1-0
7.7%
12.00
0-0
7%
11.00
2-1
6.6%
13.00
2-2
5.1%
13.00
127%
3.60
X25%
3.40
248%
2.00TOP
1X52%
X273%
1275%

Экспресс

4 выборов

Flamengo’s 1.70 xG and explosive +84% attack power give them the edge to avoid defeat against a Vasco defence rated 20% weaker than average. With both teams combining for 2.78 xG and 9.65 expected corners, goals and a lively corner count look likely; the attacking quality also points to a first-half breakthrough, supporting Draw or Flamengo, Over 1.5 goals and Over 8.5 corners.

1Double ChanceDraw or Flamengo
2Match GoalsOver 1.5
3Corners Over/UnderOver 8.5
4First Half Over/UnderOver 0.5
Probable XI3-5-2
Fuzato
Saldivia
Cuesta
Cuiabano
Lescano
Barros
Euder
Jair
Rojas
Adson 
Brenner
Impact Player Hot Head Shooter Bad Boy

Alan Lescano — gets in behind constantly, so a goal here would surprise nobody

Brenner — always sniffing around the box — the kind of player who just ends up on the scoresheet

Claudio Spinelli — gets in behind constantly, so a goal here would surprise nobody

Alan Saldivia — a bit of a bad boy — sometimes he just loses it

Jair — never backs out of a duel, so a card is always around the corner

Thiago Mendes — never backs out of a duel, so a card is always around the corner

Составы ещё не объявлены — полный анализ игроков ниже
Vasco da Gama48 игроков
52.7/ 99Средний
Лучшие
1Claudio SpinelliFWD90
2Facundo ColidioFWD89
3Santiago Sosa MID74
Flamengo46 игроков
49.8/ 99Средний
Лучшие
1Lucas PaquetáMID75
2Thiago MaiaMID75
3Gerson MID69
Vasco da Gama102
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Claudio Spinelli90878191
Facundo Colidio89934978
Santiago Sosa 74578191
JP73648167
Ramon Rique Santos de Souza Barros71539989
Alan Lescano65684567
Juan Sforza65587956
Robert Renan64535078
Léo63515572
Cauan Barros63527162
Hugo Moura63474191
Cuiabano62399975
Bruno Lopes62645656
Flamengo101
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Lucas Paquetá75756962
Thiago Maia75674985
Gerson 69784362
Jorginho69994038
Nicolás de la Cruz69999121
Lorran67447389
Saúl Ñíguez65638449
Emerson Royal61316591
Allan61735047
Evertton Araújo61754747
Jorge Carrascal61574868
Pedro60613271
Alex Sandro 57317369
Прогнозы до матча· Составы ещё не объявлены
Бомбардиры
Нападающие с высоким импактом
1
Facundo Colidio
Vasco da Gama
Импакт
93
4.06
2
Claudio Spinelli
Vasco da Gama
Импакт
87
3.81
3
Bruno Henrique
Flamengo
Импакт
66
3.29
4
Pedro
Flamengo
Импакт
61
2.05
5
Carlos Andrés Gómez
Vasco da Gama
Импакт
57
4.40
6
Marino Hinestroza
Vasco da Gama
Импакт
52
4.81
Кандидаты на Карточку
Низкая дисциплина + высокая агрессия
1
Nicolás de la Cruz
Flamengo
Дисц
21
Агр
91
1.91
2
Bruno Henrique
Flamengo
Дисц
1
Агр
60
2.60
3
Joaquín Freitas
Flamengo
Дисц
15
Агр
67
2.75
4
Marino Hinestroza
Vasco da Gama
Дисц
48
Агр
99
3.25
5
Erick Pulgar 
Flamengo
Дисц
10
Агр
56
1.57
6
Luiz Araújo
Flamengo
Дисц
59
Агр
99
2.75
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Facundo ColidioVasco da Gama
93
2
Claudio SpinelliVasco da Gama
87
3
Gabriel BarbosaFlamengo
73
4
Bruno HenriqueFlamengo
66
5
Bruno LopesVasco da Gama
64
Стена
Лучшие защитники
1
Lucas FreitasVasco da Gama
64
2
MaiconVasco da Gama
63
3
Alan SaldiviaVasco da Gama
62
4
Fabrício BrunoFlamengo
62
5
Matías ViñaFlamengo
59
Контроль
Лучшие плеймейкеры
1
JorginhoFlamengo
99
2
Nicolás de la CruzFlamengo
99
3
Thiago MendesVasco da Gama
85
4
Gerson Flamengo
78
5
Evertton AraújoFlamengo
75
Хулиганы
Склонны к карточкам
1
Fabrício BrunoFlamengo
1
2
Léo PereiraFlamengo
1
3
Bruno HenriqueFlamengo
1
4
Gabriel BarbosaFlamengo
1
5
Thiago MendesVasco da Gama
2
Рейтинг силы
Сильнейшие в целом
1
Claudio SpinelliVasco da Gama
90
2
Facundo ColidioVasco da Gama
89
3
Lucas PaquetáFlamengo
75
4
Thiago MaiaFlamengo
75
5
Santiago Sosa Vasco da Gama
74

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for Vasco da Gama vs Flamengo 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 Vasco da Gama vs Flamengo 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 Vasco da Gama 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 Vasco da Gama vs Flamengo 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 Vasco da Gama 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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