· J-League
大阪櫻花
ATT
4/10
DEF
6/10
2:2
市原·千叶JEF联
4/10
ATT
3/10
DEF
全场
最佳推荐
两队进球
52%
精确比分99′
顶级
1-1
11.8%
7.50
顶级
1-0
11.1%
8.50
2-1
9.5%
8.50
2-0
9%
9.00
0-1
7.3%
15.00
0-0
6.9%
13.00
1-2
6.2%
15.00
3-1
5.2%
13.00
150%
1.98TOP
X25%
4.04
225%
4.04
1X75%
X250%
1275%
xG — Expected Goals
大阪櫻花
大阪櫻花 exp
市原·千叶JEF联
市原·千叶JEF联 exp
goal
每15分钟
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
大阪櫻花
市原·千叶JEF联
Confirmed XI3-4-3
23
Nakamura
27
Cools
97
Takahashi
4
Inoue
2
Nakamura
36
Irvine
10
Tanaka
66
Ohata
77
Fernandes
41
Komi
19
Sabbag
Impact Player Hot Head
大阪櫻花23 球员
50.7/ 99中等
最佳
1Kyohei YoshinoMID80
2S. TanakaMID72
3Dion CoolsDEF67
市原·千叶JEF联27 球员
46.7/ 99中等
最佳
1Leonardo RochaFWD75
2Takashi KawanoDEF68
3Yusuke KobayashiMID67
球员排名
狙击手
最大进球威胁
1
Leonardo Rocha市原·千叶JEF联
80
2
Pablo Sabbag大阪櫻花
67
3
Erison市原·千叶JEF联
64
4
Ken Yamura市原·千叶JEF联
57
5
Thiago Andrade大阪櫻花
51
城墙
最佳后卫
1
Takashi Kawano市原·千叶JEF联
69
2
S. Hatanaka大阪櫻花
68
3
Boniface Nduka市原·千叶JEF联
63
4
Koki Yonekura市原·千叶JEF联
58
5
Rikito Inoue大阪櫻花
57
控制
最佳组织者
1
S. Kagawa大阪櫻花
94
2
Taishi Taguchi市原·千叶JEF联
93
3
Kyohei Yoshino大阪櫻花
83
4
Eduardo市原·千叶JEF联
70
5
Jackson Irvine  大阪櫻花
68
坏小子
最可能吃牌
1
Jackson Irvine  大阪櫻花
1
2
S. Kagawa大阪櫻花
1
3
Pablo Sabbag大阪櫻花
1
4
Boniface Nduka市原·千叶JEF联
1
5
Indio市原·千叶JEF联
1
力量排名
综合最强
1
Kyohei Yoshino大阪櫻花
80
2
Leonardo Rocha市原·千叶JEF联
75
3
S. Tanaka大阪櫻花
72
4
Takashi Kawano市原·千叶JEF联
68
5
Dion Cools大阪櫻花
67

常见问题

Our Poisson model calculates the probability of every possible scoreline for 大阪櫻花 vs 市原·千叶JEF联 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 大阪櫻花 vs 市原·千叶JEF联 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 大阪櫻花 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 大阪櫻花 vs 市原·千叶JEF联 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 大阪櫻花 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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