· Friendly International
Singapore
ATT
5/10
DEF
5/10
vs
Brazil
8/10
ATT
6/10
DEF
Programmata· Tue 17 Nov · 10:00
Migliore scelta
GOL DI ENTRAMBE
57%
Risultato esatto
Eccellente
1-1
11.8%
8.46
Eccellente
1-0
8.8%
11.36
2-1
8.7%
11.43
0-1
8%
12.54
1-2
7.9%
12.61
2-0
6.5%
15.34
0-0
5.9%
16.82
2-2
5.9%
17.04
141%
2.46TOP
X25%
3.98
234%
2.91
1X66%
X259%
1275%
Probable XI4-4-2
Syirhan
5
Azman
5
Azmi
Huizen
Fazli
Swandi
Syafiz
Kumar
16
Syahin
Rasaq
Goh
Impact Player Hot Head
Formazioni non ancora annunciate — analisi completa della rosa sotto
Singapore15 giocatori
51.6/ 99Medio
Migliori
1Ilhan FandiFWD76
2Irfan FandiDEF75
3Ikhsan FandiFWD57
Brazil48 giocatori
59.0/ 99Forte
Migliori
1Bruno GuimarãesMID84
2Gabriel SaraMID84
3EndrickFWD81
Singapore53
PlayerValutazioneImpattoAggressivitàDisciplina
19
Ilhan Fandi76856150
17
Irfan Fandi75994550
9
Ikhsan Fandi57624550
21
Safuwan Baharudin51564351
6
Kyoga Nakamura51525051
9
Farhan Zulkifi49456751
4
Nur Adam Abdullah48475051
8
Shah Shahiran48484551
1
Izwan Mahbud47463950
14
Hariss Harun46454651
3
R. Stewart46464550
16
Hami Syahin46454550
22
Joel Chew Joon Herng46454550
Brazil92
PlayerValutazioneImpattoAggressivitàDisciplina
8
Bruno Guimarães84967355
25
Gabriel Sara84997650
9
Endrick81965345
5
Casemiro79997941
26
Rayan77856252
20
Lucas Paquetá73817052
20
Martinelli 73856551
25
Igor Thiago72824451
10
Raphinha71795351
7
Vinicius Junior70765354
5
Danilo69756453
21
Andrey Santos66657552
16
Mauro Júnior64666750
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
EndrickBrazil
96
2
Ilhan FandiSingapore
85
3
RayanBrazil
85
4
Igor ThiagoBrazil
82
5
RaphinhaBrazil
79
Muro
Migliori difensori
1
Irfan FandiSingapore
99
2
Marquinhos Brazil
78
3
Vitor ReisBrazil
67
4
Mauro JúniorBrazil
66
5
Roger IbañezBrazil
61
Controllo
Migliori registi
1
CasemiroBrazil
99
2
Gabriel SaraBrazil
99
3
Bruno GuimarãesBrazil
96
4
Martinelli Brazil
85
5
Lucas PaquetáBrazil
81
Cattivi ragazzi
Più propensi ai cartellini
1
CasemiroBrazil
41
2
EndrickBrazil
45
3
Gabriel MagalhãesBrazil
47
4
Bremer Brazil
48
5
Léo PereiraBrazil
48
Classifica potenza
Più forti in assoluto
1
Bruno GuimarãesBrazil
84
2
Gabriel SaraBrazil
84
3
EndrickBrazil
81
4
CasemiroBrazil
79
5
RayanBrazil
77

Domande frequenti

Our Poisson model calculates the probability of every possible scoreline for Singapore 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 Singapore 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 Singapore 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 Singapore 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 Singapore 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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