Sillok Engine
Sillok Rankings — J1 2024
These rankings answer one narrow question: in the 2024 J1 season, which outfield players produced the most in the areas their position is judged on, measured per 90 minutes? Each player is compared only with J1 players in the same position group, so a defender’s 80 and a forward’s 80 mean the same thing: an unusually strong profile for that role. The tables show the top ten forwards, midfielders and defenders. Goalkeepers are not scored.
The ranking covers 2024 J1 only because that is the one season and division where our data source supplies every input the score needs; J2 and J3 come back with goals, assists and minutes alone. Players need at least 450 league minutes to be ranked, and anyone under 900 carries a small-sample flag. Age is shown but plays no part in the score, so a 21-year-old and a 33-year-old are measured on the same terms.
J1 2024 · 450+ min · gem_calc_v2_1 · calculated 2026-09-30
Sillok Score v2 0–100 · weighted per-90 percentiles within J1 position groups · # = rank within position
Source: API-Football (api-football.com) · input snapshot 2026-09-30 · ages as of 2026-11-15
The top ten in each group
Forwards
| # | Sillok Score v2 i | Player | Age | Pos | 2024 club | Minutes | Per-90 inputs |
|---|---|---|---|---|---|---|---|
| 1 | 89.3 | 28 | FW | FC Tokyo | 494small sample | Goals 0.36 · SoT 2.19 · Ast 0.55 · KP 3.28 · Drb 2.55 · Shot acc 60% | |
| 2 | 88.3 | 27 | FW | Tokyo Verdy | 1,504 | Goals 0.42 · SoT 1.50 · Ast 0.36 · KP 2.21 · Drb 1.26 · Shot acc 66% | |
| 3 | 81.2 | 27 | FW | Kyoto Sanga | 1,129 | Goals 0.88 · SoT 2.07 · Ast 0.08 · KP 1.59 · Drb 1.04 · Shot acc 55% | |
| 4 | 78.1 | 27 | FW | Kawasaki Frontale | 1,167 | Goals 0.54 · SoT 1.62 · Ast 0.23 · KP 0.77 · Drb 1.54 · Shot acc 50% | |
| 5 | 78.0 | 34 | FW | Gamba Osaka | 2,669 | Goals 0.41 · SoT 1.25 · Ast 0.20 · KP 2.33 · Drb 0.98 · Shot acc 56% | |
| 6 | 77.4 | 32 | FW | Kashima | 1,241 | Goals 0.51 · SoT 0.87 · Ast 0.22 · KP 1.09 · Drb 1.67 · Shot acc 52% | |
| 7 | 75.8 | 31 | FW | Avispa Fukuoka | 1,307 | Goals 0.62 · SoT 1.31 · Ast 0.14 · KP 1.17 · Drb 1.45 · Shot acc 39% | |
| 8 | 64.6 | 24 | FW | Sagan Tosu | 2,174 | Goals 0.58 · SoT 1.32 · Ast 0.04 · KP 0.70 · Drb 0.83 · Shot acc 57% | |
| 9 | 64.1 | 34 | FW | Vissel Kobe | 3,091 | Goals 0.38 · SoT 0.84 · Ast 0.20 · KP 1.19 · Drb 0.99 · Shot acc 45% | |
| 10 | 63.0 | 29 | FW | Sanfrecce Hiroshima | 3,081 | Goals 0.26 · SoT 0.91 · Ast 0.20 · KP 1.43 · Drb 1.02 · Shot acc 44% |
Midfielders
| # | Sillok Score v2 i | Player | Age | Pos | 2024 club | Minutes | Per-90 inputs |
|---|---|---|---|---|---|---|---|
| 1 | 89.1 | 30 | MF | Urawa | 710small sample | KP 2.03 · Tkl 2.54 · Ast 0.25 · Drb 1.14 · Int 1.14 | |
| 2 | 77.1 | 27 | MF | Sanfrecce Hiroshima | 2,032 | KP 3.10 · Tkl 2.21 · Ast 0.18 · Drb 0.80 · Int 0.27 | |
| 3 | 76.3 | 29 | MF | Kashiwa Reysol | 3,010 | KP 2.96 · Tkl 1.38 · Ast 0.15 · Drb 2.12 · Int 0.75 | |
| 4 | 75.7 | 28 | MF | Tokyo Verdy | 2,484 | KP 1.59 · Tkl 2.35 · Ast 0.07 · Drb 0.98 · Int 1.30 | |
| 5 | 75.6 | 33 | MF | Kawasaki Frontale | 680small sample | KP 2.12 · Tkl 1.06 · Ast 0.27 · Drb 0.79 · Int 1.32 | |
| 6 | 73.6 | 31 | MF | Sanfrecce Hiroshima | 1,006 | KP 2.24 · Tkl 1.70 · Ast 0.18 · Drb 0.36 · Int 1.07 | |
| 7 | 73.4 | 32 | MF | Urawa | 821small sample | KP 2.30 · Tkl 1.10 · Ast 0.44 · Drb 1.53 · Int 0.55 | |
| 8 | 73.4 | 31 | MF | Urawa | 2,044 | KP 1.63 · Tkl 1.85 · Ast 0.13 · Drb 0.40 · Int 1.36 | |
| 9 | 71.5 | 31 | MF | Urawa | 1,514 | KP 1.13 · Tkl 2.44 · Ast 0.12 · Drb 1.13 · Int 0.71 | |
| 10 | 71.2 | 26 | MF | Tokyo Verdy | 2,582 | KP 1.11 · Tkl 2.02 · Ast 0.10 · Drb 0.91 · Int 1.19 |
Defenders
| # | Sillok Score v2 i | Player | Age | Pos | 2024 club | Minutes | Per-90 inputs |
|---|---|---|---|---|---|---|---|
| 1 | 95.6 | 35 | DF | Vissel Kobe | 2,403 | Tkl 1.91 · Int 2.13 · KP 1.05 | |
| 2 | 95.2 | 25 | DF | FC Tokyo | 1,464 | Tkl 1.91 · Int 2.09 · KP 1.35 | |
| 3 | 84.2 | 32 | DF | Shonan Bellmare | 3,315 | Tkl 1.87 · Int 1.33 · KP 1.03 | |
| 4 | 83.2 | 29 | DF | FC Tokyo | 1,389 | Tkl 2.01 · Int 2.01 · KP 0.26 | |
| 5 | 80.9 | 28 | DF | Tokyo Verdy | 764small sample | Tkl 1.77 · Int 1.41 · KP 0.59 | |
| 6 | 80.8 | 31 | DF | Nagoya Grampus | 717small sample | Tkl 1.51 · Int 1.38 · KP 1.63 | |
| 7 | 80.0 | 23 | DF | Jubilo Iwata | 966 | Tkl 1.68 · Int 1.40 · KP 0.84 | |
| 8 | 78.0 | 26 | DF | Albirex Niigata | 610small sample | Tkl 1.33 · Int 1.48 · KP 1.92 | |
| 9 | 76.7 | 28 | DF | Kyoto Sanga | 1,448 | Tkl 1.74 · Int 1.55 · KP 0.31 | |
| 10 | 75.7 | 31 | DF | Kashiwa Reysol | 3,020 | Tkl 1.34 · Int 1.61 · KP 0.78 |
† under 900 minutes — read as a small sample
What separates the leaders
Among forwards, finishing alone does not reach the top. Rafael Elias scored 0.88 goals per 90, the highest rate of any ranked J1 forward, yet sits third because he made 0.08 assists per 90. The two players above him, K. Endo and H. Yamami, are the only forwards in the ten with more than 0.3 assists per 90. Endo’s 494 minutes are a small sample; Yamami’s 1,504 are not.
In midfield, key passes are the largest single contribution for all ten players, ahead of tackling. Three of the ten played under 900 minutes, including the group leader, Y. Koizumi, with 710 for Urawa, so the top of this table is its least settled part. Four of the ten were Urawa players in 2024, more than any other club; Urawa’s midfield scores well as a group, which says as much about how the team used its midfielders as about any one of them.
Among defenders, the top two stand apart: G. Sakai and K. Bangnagande score 95.6 and 95.2, eleven points clear of third. Their profiles are almost identical, 1.91 tackles per 90 each and 2.13 against 2.09 interceptions, across a ten-year age gap. Bangnagande is the subject of Scouting Report #010. S. Baba, 12th at 74.3, falls just outside the ten; his profile is covered in Scouting Report #011.
Reading a 2024 snapshot
This table applies no league adjustment, so a high J1 percentile says nothing about how the same output would rate in Belgium or Germany. It describes 2024 only: several of these players have since changed clubs, and minutes in later seasons can rise or fall sharply, as Baba’s did after his move. The club shown is each player’s 2024 club, not always his current one. Small samples also cluster near the top: seven of the thirty players across the three tables played under 900 minutes, and per-90 rates move most when minutes are few. Nor is anything adjusted for team strength. A strong score here is a reason to look at a player’s current season, not a verdict on it.