· J-League
FC Tokyo
ATT
5/10
DEF
6/10
6:0
Mito Hollyhock
4/10
ATT
5/10
DEF
全场
最佳推荐
主队胜
54%
精确比分95′
顶级
1-1
11.3%
9.50
顶级
1-0
10.9%
7.00
2-1
9.8%
9.00
2-0
9.4%
6.00
0-1
6.5%
23.00
0-0
6.3%
12.00
1-2
5.9%
29.00
3-1
5.6%
12.00
154%
1.87TOP
X24%
4.21
223%
4.41
1X78%
X247%
1277%
xG — Expected Goals
FC Tokyo
FC Tokyo exp
Mito Hollyhock
Mito Hollyhock exp
goal
每15分钟
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
FC Tokyo
Mito Hollyhock
Confirmed XI4-4-2
81
Kim
22
Ishihara
24
Scholz
4
Inamura
6
Bangnagande
10
Sato
8
Ko
27
Tokiwa
7
Anzai
26
Nagakura
39
Nakagawa
Impact Player Hot Head
FC Tokyo22 球员
52.0/ 99中等
最佳
1Dani GómezFWD93
2M. NagakuraFWD75
3Masato MorishigeDEF68
Mito Hollyhock29 球员
49.3/ 99中等
最佳
1Patryck FerreiraFWD75
2Kenta ItakuraDEF70
3Keisuke TadaFWD65
球员排名
狙击手
最大进球威胁
1
Dani GómezFC Tokyo
99
2
M. NagakuraFC Tokyo
71
3
Marcelo RyanFC Tokyo
70
4
Patryck FerreiraMito Hollyhock
68
5
Keisuke TadaMito Hollyhock
62
城墙
最佳后卫
1
Masato MorishigeFC Tokyo
99
2
Kenta ItakuraMito Hollyhock
80
3
Yasuki KimotoMito Hollyhock
77
4
Alexander ScholzFC Tokyo
74
5
Yuri TamuraMito Hollyhock
59
控制
最佳组织者
1
Taishi SembaMito Hollyhock
67
2
Takahiro KoFC Tokyo
58
3
Hugo Leonardo Nunes Fernandes SantosMito Hollyhock
57
4
Kyota TokiwaFC Tokyo
51
5
Chihiro KatoMito Hollyhock
50
坏小子
最可能吃牌
1
Taishi SembaMito Hollyhock
1
2
Kotaro UchinoMito Hollyhock
5
3
Hirokazu IshiharaFC Tokyo
20
4
Yasuki KimotoMito Hollyhock
20
5
Kein SatoFC Tokyo
25
力量排名
综合最强
1
Dani GómezFC Tokyo
93
2
M. NagakuraFC Tokyo
75
3
Patryck FerreiraMito Hollyhock
75
4
Kenta ItakuraMito Hollyhock
70
5
Masato MorishigeFC Tokyo
68

常见问题

Our Poisson model calculates the probability of every possible scoreline for FC Tokyo vs Mito Hollyhock 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 FC Tokyo vs Mito Hollyhock 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 FC Tokyo 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 FC Tokyo vs Mito Hollyhock 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 FC Tokyo 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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