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
En iyi tahmin
KG VAR
53%
Doğru skor
Mükemmel
1-1
12%
6.50
Mükemmel
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%
Kombine
4 seçim
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
Kadrolar henüz açıklanmadı — aşağıda tam kadro analizi
Vasco da Gama48 oyuncu
52.7/ 99Orta
En İyiler
1Claudio SpinelliFWD90
2Facundo ColidioFWD89
3Santiago Sosa MID74
Flamengo46 oyuncu
49.8/ 99Orta
En İyiler
1Lucas PaquetáMID75
2Thiago MaiaMID75
3Gerson MID69
Vasco da Gama102
PlayerGenel DereceEtkiAgresyonDisiplin
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
PlayerGenel DereceEtkiAgresyonDisiplin
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
Maç Öncesi Tahminler· Kadrolar henüz açıklanmadı
Gol Kralları
En yüksek etkiye sahip forvetler
1
Facundo Colidio
Vasco da Gama
Etki
93
4.06
2
Claudio Spinelli
Vasco da Gama
Etki
87
3.81
3
Bruno Henrique
Flamengo
Etki
66
3.29
4
Pedro
Flamengo
Etki
61
2.05
5
Carlos Andrés Gómez
Vasco da Gama
Etki
57
4.40
6
Marino Hinestroza
Vasco da Gama
Etki
52
4.81
Kart Adayları
En düşük disiplin + yüksek agresyon
1
Nicolás de la Cruz
Flamengo
Dis
21
Agres
91
1.91
2
Bruno Henrique
Flamengo
Dis
1
Agres
60
2.60
3
Joaquín Freitas
Flamengo
Dis
15
Agres
67
2.75
4
Marino Hinestroza
Vasco da Gama
Dis
48
Agres
99
3.25
5
Erick Pulgar
Flamengo
Dis
10
Agres
56
1.57
6
Luiz Araújo
Flamengo
Dis
59
Agres
99
2.75
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
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
Duvar
En iyi savunmacılar
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
Kontrol
En iyi oyun kurucular
1
JorginhoFlamengo
99
2
Nicolás de la CruzFlamengo
99
3
Thiago MendesVasco da Gama
85
4
Gerson Flamengo
78
5
Evertton AraújoFlamengo
75
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Fabrício BrunoFlamengo
1
Agresiflik 31
2
Léo PereiraFlamengo
1
Agresiflik 23
3
Bruno HenriqueFlamengo
1
Agresiflik 60
4
Gabriel BarbosaFlamengo
1
Agresiflik 13
5
Thiago MendesVasco da Gama
2
Agresiflik 30
Güç sıralaması
Genel olarak en güçlüler
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
Sıkça Sorulan Sorular
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.