T. Suzuki Stats
Club: Gamba Osaka · Position: Midfielder.
Next: Gamba Osaka v Cerezo Osaka · J1 League · Sun 8 Nov, 06:00 GMT · Cerezo Osaka allow 14.3 shots per game over their last 8 — form, head-to-head and stats on the match page.
T. Suzuki (Gamba Osaka, midfielder) has 0 goals and 1 assist in 17 appearances in 2026 (1114 minutes, all competitions). Shots per 90 in J1 League: 0.67, higher than 38% of 125 midfielders. Started 14 of 17. Next: Gamba Osaka v Cerezo Osaka, Sun 8 Nov, 06:00 GMT.
Key Facts
Figures as of
T. Suzuki has 14 starts from 17 appearances in 2026 (all competitions), 66 minutes per appearance.
Suzuki has two yellow cards in 17 appearances in 2026.
T. Suzuki (Gamba Osaka) averages a TACTIX Impact of 2.3 per match across 17 appearances, and has zero goals and one assist in 17 appearances in 2026 — per TACTIX Impact, an open rating with every weight published (as of 4 November 2026).
An open, transparent rating built from raw match actions across 17 appearances in 2026 (all competitions) — every weight is published. Higher is better; a negative score just means costly actions outweighed productive ones in that sample — not a verdict on the player.
Profile
T. Suzuki is a midfielder at Gamba Osaka, with 14 appearances and 944 minutes in the J1 League 2026. TACTIX Impact: 2.5 per match across 14 appearances in J1 League matches, the 59th percentile of 432 qualifying J1 League players. T. Suzuki has started 14 of 17 appearances in 2026 (all competitions), averaging 66 minutes. That is 52% of the J1 League minutes available to him (944 of 1800 across 20 club matches).
Keeper, venue and career
Home and away differ: 1.54 key passes per 90 at home (468 minutes) against 0.98 away (646 minutes), all competitions 2026.
By the numbers
By the numbers, among the 125 J1 League midfielders with 450+ minutes: 57.58 passes per 90 — higher than 91% and 1.24 interceptions per 90 — higher than 75%. Shots per 90 is up from 0.38 last season (1909 minutes in the J1 League) to 0.67 in 2026.
Strengths and weaknesses
Strengths, against Midfielders, J1 League 2026 (n = 125): Passing (elite, 91st percentile) and Discipline (strong, 73rd percentile). Lower on the radar: Dribbling (sixth percentile) and Scoring (18th percentile), against 125 Midfielders, J1 League 2026 (n = 125).
Form and availability
Impact over the last five matches (newest first): 2.4, 3.0, 1.4, 0.0, 1.5 — trending up, averaging 1.7 against a season figure of 2.3. Discipline: two yellow cards in 17 appearances in 2026, and 0.76 fouls per 90 in the J1 League. Next up: Gamba Osaka v Cerezo Osaka, Sun 8 Nov, 06:00 GMT (J1 League). Cerezo Osaka allow 14.3 shots per game over their last 8.
Similar players
Closest radar profiles among Midfielders, J1 League 2026 (n = 125): T. Semba, Y. Kuwasaki and K. Tachibanada (cosine similarity of the eight axis percentiles; the full list is part of Pro).
Season 2026 · All Competitions
Started 14 of 17 appearances, 3 from the bench · 66 minutes per appearance · 52% of the J1 League minutes available (944 of 1800).
J1 League only: 14 apps · 2.5 Impact per match in 2026. The figures above cover all 2 competitions played that season, which is why they can differ. See the J1 League Impact leaderboard.
T. Suzuki Stats per 90 · J1 League 2026, midfielder
| Stat | T. Suzuki | vs midfielders | Last season |
|---|---|---|---|
| Passesper 90 | 57.58 | higher than 91% | 52.85 |
| Pass accuracy | 80.3% | higher than 53% | 84.2% |
| Key passesper 90 | 1.24 | higher than 65% | 0.90 |
| Shotsper 90 | 0.67 | higher than 38% | 0.38 |
| Shots on targetper 90 | 0.10 | higher than 12% | 0.14 |
| Successful dribblesper 90 | 0.10 | higher than 6% | 0.19 |
| Tacklesper 90 | 1.81 | higher than 65% | 1.98 |
| Interceptionsper 90 | 1.24 | higher than 75% | 1.08 |
| Fouls committedper 90 | 0.76 | fewer than 75% | 1.56 |
| Cardsper 90 | 0.10 | fewer than 57% | 0.24 |
Per 90 minutes over 944 minutes in J1 League 2026. Ranked against 125 J1 League midfielders with 450+ minutes; “higher than N%” means a higher figure than N% of them, and for fouls, cards, offsides and goals conceded “fewer than” is the better direction. Last season: the same competition, 1909 minutes.
Last 10 Appearances · All Competitions
- 1+ shot1 of 10
- 1+ shot on target0 of 10
- 1+ tackle4 of 10
- 1+ foul committed5 of 10
- Scored0 of 10
- Assisted0 of 10
- Booked1 of 10
How often, not how much: the matches where each line happened, out of the matches where it was recorded (2026-04-15 to 2026-11-04, newest first). History, not a forecast — the model’s player projections are on Pro.
Profile Radar · J1 League 2026, midfielder
T. Suzuki · Midfielders, J1 League 2026 (n = 125) median
| Axis | T. Suzuki | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 0.67on target 14.3% | 0.86 | 38th |
| Scoringgoals p90 | 0.00 | 0.08 | 18th |
| Creationkey passes + assists p90 | 1.33 | 1.08 | 61st |
| Passingpasses p90 | 57.58accuracy 80.3% | 35.34 | 91st |
| Dribblingsuccessful dribbles p90 | 0.10success 100.0% | 0.58 | 6th |
| Duelsduels won p90 | 4.48win rate 51.6% | 4.05 | 62nd |
| Defendingtackles + interceptions + blocks p90 | 3.24 | 2.68 | 71st |
| Disciplinecards + fouls p90 (fewer is better) | 0.86 | 1.17 | 27th |
Radius is the percentile within the cohort; Discipline count fewer as better. Figures are per 90 minutes over 944 minutes in J1 League 2026. Cohort: 125 players with 450+ minutes.
Where That Sits in the J1 League
2.5 per match — 59th percentile of 432 qualifying J1 League players (6+ apps), 2026. Shaded band = 10th–90th percentile; the line is the median.
Career · Every Team, by Season · All Competitions
| Season | Team | Apps | Goals | Assists | SoT/90 | KP/90 | Impact |
|---|---|---|---|---|---|---|---|
| 2027 | Gamba Osaka | 1 | 0 | 0 | – | – | 3.0 |
| 2026 | Gamba Osaka | 17 | 0 | 1 | 0.08 | 1.21 | 2.3 |
| 2025 | Gamba Osaka | 41 | 0 | 0 | 0.12 | 0.91 | 1.5 |
| 2024 | Gamba Osaka | 11 | 0 | 1 | 0.10 | 0.90 | 3.4 |
| 2023 | Cerezo Osaka | 2 | 0 | 0 | 0.00 | 0.00 | 1.5 |
| 2022 | Cerezo Osaka | 2 | 0 | 0 | 0.00 | 0.85 | 2.1 |
Game Log · Last 10 Appearances · All Competitions
| Date | Opponent | Min | G | A | Sh | SoT | KP | Tkl | Cards | Rating | Impact | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-11-04 | @ Pohang Steelers | 90 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 6.3 | 2.4 | |
| 2026-10-24 | v Kyoto Sanga2027 | 66 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 6.2 | 3 | |
| 2026-10-13 | @ Newcastle Jets | 79 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 1.4 | ||
| 2026-09-15 | v Công An Nhân Dân | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | – | 0 | |
| 2026-05-24 | @ Shimizu S-pulse | 83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.2 | 1.5 | |
| 2026-05-10 | v Sanfrecce Hiroshima | 90 | 0 | 0 | 1 | 0 | 2 | 1 | 0 | 6.9 | 2.7 | |
| 2026-05-02 | v Vissel Kobe sub | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.7 | 0.7 | |
| 2026-04-29 | @ Kyoto Sanga | 90 | 0 | 0 | 0 | 0 | 1 | 6 | 0 | 6.6 | 6.1 | |
| 2026-04-19 | v Fagiano Okayama | 60 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 7.2 | 1.3 | |
| 2026-04-15 | @ Bangkok United2025 sub | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.2 | -0.3 |
Min = minutes; Sh = shots, SoT = shots on target, KP = key passes, Tkl = tackles; – = not recorded for that match. Rating is the data provider’s; Impact is TACTIX’s published formula.
Home v away · per 90 · 2026 · all competitions: Key passes 1.54 at home (468 min), 0.98 away (646 min); Shots 0.96 at home (468 min), 0.28 away (646 min).
Impact Trend · Last 10 Matches
TACTIX Model: T. Suzuki’s Match Projections
Frequently Asked Questions
- How many shots does T. Suzuki average per 90?
- T. Suzuki averages 0.67 shots per 90 minutes in J1 League 2026 (944 minutes) — higher than 38% of 125 J1 League midfielders with 450+ minutes.
- How many goals and assists does T. Suzuki have this season?
- This season T. Suzuki has 0 goals and 1 assist in 17 appearances (1114 minutes played).
- Does T. Suzuki start every game?
- T. Suzuki started 14 of 17 appearances in 2026, averaging 66 minutes per appearance (all competitions).
- How often does T. Suzuki get booked?
- T. Suzuki was booked in 1 of the last 10 appearances where cards were recorded (all competitions); 2 yellow and 0 red this season.
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How TACTIX Impact is calculated · Live track record · Stats are historical; predictions are model output, not betting advice.