J-League
Our AI model analyzes team form, head-to-head history, and recent performance to generate these predictions.
Based on our advanced statistical model, we predict a score around 1.3 - 1.2. Nagoya Grampus are favored to win this match. With a predicted total of 2.5 goals, this match is expected to go over 2.5 goals.
The probability of each team scoring a specific number of goals (0-4+).
The likelihood of the total match goals being above or below specific thresholds.
Performance statistics from the completed match, showing starters and substitutes.
# | Player | Rating | Mins |
---|---|---|---|
3 | Yota Sato |
90
|
|
7 | Ryuji Izumi |
66
|
|
8 | Keiya Shiihashi |
90
|
|
10 | Mateus |
66
|
|
15 | Sho Inagaki |
90
|
|
17 | Takuya Uchida |
85
|
|
18 | Kensuke Nagai |
46
|
|
20 | Kennedyegbus Mikuni |
90
|
|
35 | Alexandre Kouto Horio Pisano |
90
|
|
55 | Shuhei Tokumoto |
46
|
|
70 | Teruki Hara |
90
|
2 | Yuki Nogami |
5
|
|
6 | Akinari Kawazura | - | |
9 | Yuya Asano |
24
|
|
11 | Yuya Yamagishi |
44
|
|
14 | Tsukasa Morishima |
24
|
|
16 | Yohei Takeda | - | |
26 | Gen Kato | - | |
27 | Katsuhiro Nakayama |
44
|
|
33 | Taichi Kikuchi | - |
# | Player | Rating | Mins |
---|---|---|---|
2 | Yugo Tatsuta |
90
|
|
4 | Kaito Abe |
90
|
|
8 | Ataru Esaka |
72
|
|
14 | Ryo Tabei |
61
|
|
15 | Kota Kudo |
90
|
|
19 | Hiroto Iwabuchi |
46
|
|
24 | Ibuki Fujita |
90
|
|
28 | Masaya Matsumoto |
90
|
|
49 | Svend Brodersen |
90
|
|
50 | Hijiri Kato |
83
|
|
99 | Lucão |
72
|
5 | Yasutaka Yanagi | - | |
7 | Ryo Takeuchi |
29
|
|
9 | Gleyson |
7
|
|
13 | Junki Kanayama | - | |
22 | Kazunari Ichimi | - | |
27 | Takaya Kimura |
18
|
|
39 | Ryunosuke Sato |
44
|
|
45 | Noah Browne |
18
|
|
88 | Takahiro Yanagi | - |
1.5 | Expected Goals (xG) | 0.4 |
60% | Possession | 40% |
11 | Shots | 6 |
2 | Shots on Target | 1 |
4 | Corners | 5 |
8 | Fouls | 16 |
0 | Yellow Cards | 2 |
0 | Red Cards | 0 |
8 | Offsides | 2 |