· J-League
Tokyo Verdy
ATT
2/10
DEF
3/10
3:1
Avispa Fukuoka
3/10
ATT
5/10
DEF
全场
最佳推荐
小 2.5
58%
精确比分97′
顶级
1-1
13.1%
6.00
顶级
0-1
11.8%
6.00
1-0
10.3%
7.00
0-0
9.3%
6.00
1-2
8.3%
11.00
0-2
7.5%
10.00
2-1
7.2%
12.00
2-0
5.7%
13.00
132%
3.12
X28%
3.61
240%
2.49TOP
1X60%
X268%
1272%
xG — Expected Goals
Tokyo Verdy
Tokyo Verdy exp
Avispa Fukuoka
Avispa Fukuoka exp
goal
每15分钟
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Tokyo Verdy
Avispa Fukuoka
Confirmed XI4-4-2
1
Vidotto
22
Uchida
4
Hayashi
96
Cho
18
Mizoguchi
19
Fujimoto
8
Saito
16
Hirakawa
40
Arai
33
Ichimi
25
Kumatoriya
Impact Player Hot Head
Tokyo Verdy30 球员
51.9/ 99中等
最佳
1Goki YamadaFWD94
2Kazuya MiyaharaDEF71
3Rei HirakawaMID66
Avispa Fukuoka32 球员
50.8/ 99中等
最佳
1Keiya ShiihashiMID68
2T. KamijimaDEF66
3S. NagoMID65
球员排名
狙击手
最大进球威胁
1
Goki YamadaTokyo Verdy
99
2
H. Sani BrownAvispa Fukuoka
73
3
Ichika MaedaAvispa Fukuoka
59
4
Shosei UsuiAvispa Fukuoka
56
5
S. SatoAvispa Fukuoka
47
城墙
最佳后卫
1
Naoki HayashiTokyo Verdy
75
2
T. KamijimaAvispa Fukuoka
68
3
Maaya SakoTokyo Verdy
62
4
Taiju YoshidaTokyo Verdy
59
5
M. TashiroAvispa Fukuoka
58
控制
最佳组织者
1
Soma MeshinoTokyo Verdy
65
2
Kokoro MaedaAvispa Fukuoka
65
3
Y. KitajimaAvispa Fukuoka
60
4
Koki MoritaTokyo Verdy
59
5
Kosuke SaitoTokyo Verdy
57
坏小子
最可能吃牌
1
T. NaraAvispa Fukuoka
1
2
Kokoro MaedaAvispa Fukuoka
1
3
Kim Hyun-WooTokyo Verdy
2
4
Kazunari IchimiTokyo Verdy
6
5
H. Sani BrownAvispa Fukuoka
7
力量排名
综合最强
1
Goki YamadaTokyo Verdy
94
2
Kazuya MiyaharaTokyo Verdy
71
3
Keiya ShiihashiAvispa Fukuoka
68
4
Rei HirakawaTokyo Verdy
66
5
T. KamijimaAvispa Fukuoka
66

常见问题

Our Poisson model calculates the probability of every possible scoreline for Tokyo Verdy vs Avispa Fukuoka 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 Tokyo Verdy vs Avispa Fukuoka 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 Tokyo Verdy 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 Tokyo Verdy vs Avispa Fukuoka 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 Tokyo Verdy 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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