· Friendly International
Vietnam
ATT
6/10
DEF
6/10
vs
Chinese Taipei
5/10
ATT
5/10
DEF
Scheduled· Wed 11 Nov · 12:00
Best Pick
Home Win
57%
Correct Score
Top
1-0
10.8%
9.24
Top
1-1
10.8%
9.24
2-0
9.9%
10.12
2-1
9.9%
10.12
3-0
6%
16.61
3-1
6%
16.61
0-0
5.9%
16.88
0-1
5.9%
16.88
157%
1.76TOP
X23%
4.38
220%
4.89
1X80%
X243%
1277%
Probable XI4-4-2
23
Lâm
20
Anh
4
Kiệt
6
Tran
2
Mạnh
8
Tran
Nguyen
13
Magno
10
Araújo
9
Nguyen
17
Pham
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Vietnam17 players
44.8/ 99Average
Top Rated
1Đặng Văn LâmGK46
2Patrik Lê GiangGK46
3Hêndrio AraújoMID46
Chinese Taipei14 players
No squad metrics available
1
Chiu-Lin HuangGK
22
Shuo-Che TsaiGK
13
Bo-Wei KuoDEF
2
Christopher TiaoDEF
5
Ruei WangDEF
6
Tzu-Ming HuangDEF
19
Meng-Cheng TsaiMID
17
Po-Liang Chen MID
4
Tu Shao-chiehMID
8
Wu Yen-shuMID
10
Ange SamuelFWD
7
Emilio EstevezFWD
15
Wei-Jie HuangFWD
Vietnam74
PlayerOverall RatingImpactAggressionDiscipline
23
Đặng Văn Lâm46454550
1
Patrik Lê Giang46454550
10
Hêndrio Araújo46454550
4
Lê Văn Đô46454550
18
Nguyễn Hai Long46454550
15
Tien Anh Truong46454550
11
Van Khang Khuat46454550
12
Nguyễn Xuân Son46464550
20
Bùi Hoàng Việt Anh45454550
2
Đỗ Duy Mạnh45454550
5
Đoàn Văn Hậu45454550
16
Nguyễn Thành Chung45454550
6
Nhat Minh Nguyen45454550
Chinese Taipei14
PlayerOverall RatingImpactAggressionDiscipline
1
Chiu-Lin Huang————
22
Shuo-Che Tsai————
13
Bo-Wei Kuo————
2
Christopher Tiao————
5
Ruei Wang————
6
Tzu-Ming Huang————
19
Meng-Cheng Tsai————
17
Po-Liang Chen ————
4
Tu Shao-chieh————
8
Wu Yen-shu————
10
Ange Samuel————
7
Emilio Estevez————
15
Wei-Jie Huang————
Player Rankings
Snipers
Top goal threats
1
Nguyễn Xuân SonVietnam
46
Wall
Top defenders
1
Bùi Hoàng Việt AnhVietnam
45
2
Đỗ Duy MạnhVietnam
45
3
Đoàn Văn HậuVietnam
45
4
Nguyễn Thành ChungVietnam
45
5
Nhat Minh NguyenVietnam
45
Control
Top playmakers
1
Hêndrio AraújoVietnam
45
2
Lê Văn ĐôVietnam
45
3
Nguyễn Hai LongVietnam
45
4
Tien Anh TruongVietnam
45
5
Van Khang KhuatVietnam
45
Bad Boys
Most likely to get booked
1
Đặng Văn LâmVietnam
50
2
Patrik Lê GiangVietnam
50
3
Bùi Hoàng Việt AnhVietnam
50
4
Đỗ Duy MạnhVietnam
50
5
Đoàn Văn HậuVietnam
50
Power Rankings
Strongest overall
1
Đặng Văn LâmVietnam
46
2
Patrik Lê GiangVietnam
46
3
Hêndrio AraújoVietnam
46
4
Lê Văn ĐôVietnam
46
5
Nguyễn Hai LongVietnam
46

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Vietnam vs Chinese Taipei 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 Vietnam vs Chinese Taipei 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 Vietnam 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 Vietnam vs Chinese Taipei 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 Vietnam 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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