· Friendly International
Japan
ATT
6/10
DEF
7/10
vs
Brazil
8/10
ATT
6/10
DEF
Scheduled· Sat 14 Nov · 10:15
Best Pick
BTTS
56%
Correct Score
Top
1-1
11.8%
8.51
Top
1-0
9.4%
10.64
2-1
9.2%
10.92
0-1
7.5%
13.26
1-2
7.3%
13.62
2-0
7.3%
13.65
0-0
6%
16.57
2-2
5.7%
17.48
144%
2.25TOP
X25%
4.01
231%
3.27
1X69%
X256%
1275%
Probable XI4-4-2
Pisano
3
Seko
16
Hashioka
22
Araki
32
Mochizuki
17
Tanaka
15
Kamada
Kawabe
Morita
18
Ueda
11
Maeda
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Japan39 players
58.2/ 99Strong
Top Rated
1Joel Chima FujitaMID82
2Yukinari SugawaraDEF79
3Kaishu SanoMID75
Brazil48 players
61.0/ 99Strong
Top Rated
1Bruno GuimarãesMID96
2Lucas PaquetáMID89
3Vinicius JuniorFWD87
Japan81
PlayerOverall RatingImpactAggressionDiscipline
6
Joel Chima Fujita82759178
2
Yukinari Sugawara79719967
24
Kaishu Sano75638178
13
Keito Nakamura74814956
6
Wataru Endo72567583
3
Shogo Taniguchi 69744767
15
Daichi Kamada67655467
6
Shuto Machino67763950
26
Kento Shiogai65589961
1
Zion Suzuki64672850
29
Shunsuke Saito64636956
14
Junya Ito63586667
23
T. Hayakawa62652850
Brazil92
PlayerOverall RatingImpactAggressionDiscipline
8
Bruno Guimarães96968491
20
Lucas Paquetá89918272
7
Vinicius Junior87835991
25
Gabriel Sara83997650
26
Rayan83866267
5
Danilo79756472
20
Martinelli 76856556
21
Andrey Santos74657467
25
Igor Thiago74834456
10
Raphinha73795356
9
Endrick71975311
2
Wesley68629943
2
Éder Militão65566067
Player Rankings
Snipers
Top goal threats
1
EndrickBrazil
97
2
RayanBrazil
86
3
Igor ThiagoBrazil
83
4
Vinicius JuniorBrazil
83
5
Keito NakamuraJapan
81
Wall
Top defenders
1
Marquinhos Brazil
80
2
Shogo Taniguchi Japan
74
3
Hiroki Ito Japan
72
4
Yukinari SugawaraJapan
71
5
Fabrício BrunoBrazil
67
Control
Top playmakers
1
Gabriel SaraBrazil
99
2
CasemiroBrazil
97
3
Bruno GuimarãesBrazil
96
4
Lucas PaquetáBrazil
91
5
Martinelli Brazil
85
Bad Boys
Most likely to get booked
1
CasemiroBrazil
1
2
Koki OgawaJapan
5
3
EndrickBrazil
11
4
Ao TanakaJapan
30
5
Bremer Brazil
32
Power Rankings
Strongest overall
1
Bruno GuimarãesBrazil
96
2
Lucas PaquetáBrazil
89
3
Vinicius JuniorBrazil
87
4
Gabriel SaraBrazil
83
5
RayanBrazil
83

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Japan vs Brazil 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 Japan vs Brazil 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 Japan 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 Japan vs Brazil 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 Japan 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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