Erik 2027 Stats
Club: Vissel Kobe · Position: Forward.
Erik (Vissel Kobe, forward) had 0 goals and 2 assists in 3 appearances in 2027 (259 minutes, all competitions). Shots per 90 in J1 League: 1.04, higher than 15% of 40 forwards. Started 3 of 3.
Erik (Vissel Kobe) averages a TACTIX Impact of 3.6 per match across three appearances, and has zero goals and two assists in three appearances in 2027 — per TACTIX Impact, an open rating with every weight published (as of 31 October 2026).
An open, transparent rating built from raw match actions across 3 appearances in 2027 (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
Erik is a forward at Vissel Kobe, with three appearances and 259 minutes in the J1 League 2027. TACTIX Impact: 3.6 per match across three appearances in J1 League matches, the 80th percentile of 377 qualifying J1 League players. Erik has started 3 of three appearances in 2027 (all competitions), averaging 86 minutes. That is 72% of the J1 League minutes available to him (259 of 360 across four club matches).
Strengths and weaknesses
Strengths, against Forwards, J1 League 2027 (n = 40): Creation (strong, 78th percentile). Lower on the radar: Shooting (15th percentile) and Scoring (19th percentile), against 40 Forwards, J1 League 2027 (n = 40).
Form and availability
Impact over the last three matches (newest first): 4.6, 3.0, 3.3 — trending up, averaging 3.6 against a season figure of 3.6.
Similar players
Closest radar profiles among Forwards, J1 League 2027 (n = 40): Y. Muto, Kazuki Tanaka and Yoshio Koizumi (cosine similarity of the eight axis percentiles; the full list is part of Pro).
Season 2027 · All Competitions
Started 3 of 3 appearances · 86 minutes per appearance · 72% of the J1 League minutes available (259 of 360).
J1 League only: 3 apps · 3.6 Impact per match in 2027. See the J1 League Impact leaderboard.
Erik Stats per 90 · J1 League 2027, forward
| Stat | Erik | vs forwards | Last season |
|---|---|---|---|
| Goalsper 90 | 0.00 | higher than 19% | 0.62 |
| Shotsper 90 | 1.04 | higher than 15% | 1.31 |
| Shots on targetper 90 | 0.00 | higher than 5% | 0.92 |
| Shot accuracy | 0.0% | higher than 5% | 70.6% |
| Key passesper 90 | 1.39 | higher than 70% | 1.39 |
| Successful dribblesper 90 | 0.69 | higher than 65% | 1.08 |
| Fouls wonper 90 | 1.39 | higher than 63% | 0.77 |
| Offsidesper 90 | 0.35 | fewer than 45% | 0.62 |
Per 90 minutes over 259 minutes in J1 League 2027. Ranked against 40 J1 League forwards with 217+ 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, 1168 minutes.
Profile Radar · J1 League 2027, forward
Erik · Forwards, J1 League 2027 (n = 40) median
| Axis | Erik | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 1.04on target 0.0% | 2.24 | 15th |
| Scoringgoals p90 | 0.00 | 0.23 | 19th |
| Creationkey passes + assists p90 | 2.08 | 1.32 | 78th |
| Passingpasses p90 | 27.45accuracy 77.2% | 23.04 | 65th |
| Dribblingsuccessful dribbles p90 | 0.69success 66.7% | 0.48 | 65th |
| Duelsduels won p90 | 3.82win rate 36.7% | 4.79 | 38th |
| Defendingtackles + interceptions + blocks p90 | 1.39 | 1.42 | 43rd |
| Disciplinecards + fouls p90 (fewer is better) | 1.39 | 1.57 | 40th |
Radius is the percentile within the cohort; Discipline count fewer as better. Figures are per 90 minutes over 259 minutes in J1 League 2027. Cohort: 40 players with 217+ minutes — an early-season floor; it rises to 450 as the season goes on, so early cohorts are small.
Where That Sits in the J1 League
3.6 per match — 80th percentile of 377 qualifying J1 League players (2+ apps), 2027. 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 | Vissel Kobe | 3 | 0 | 2 | 0.00 | 1.39 | 3.6 |
| 2026 | Machida Zelvia | 18 | 8 | 0 | 0.92 | 1.39 | 3.2 |
| 2026 | Vissel Kobe | 3 | 1 | 0 | 1.22 | 2.43 | 2.4 |
| 2025 | Vissel Kobe | 32 | 9 | 6 | 0.80 | 1.45 | 3.6 |
| 2025 | Machida Zelvia | 3 | 0 | 1 | 0.96 | 0.96 | 3.4 |
| 2024 | Machida Zelvia | 2 | 1 | 0 | 1.78 | 1.78 | 2.9 |
| 2022 | Changchun Yatai | 16 | 3 | 4 | 0.64 | 1.14 | 3.7 |
| 2021 | Changchun Yatai | 4 | 0 | 0 | 0.25 | 1.51 | 2.9 |
| 2020 | Yokohama F. Marinos | 1 | 2 | 0 | – | – | 8.8 |
| 2019 | Botafogo | 3 | 1 | 0 | 0.35 | 1.05 | 5.0 |
| 2019 | Yokohama F. Marinos | 1 | 0 | 0 | 0.00 | 1.00 | 1.4 |
| 2018 | Botafogo | 3 | 0 | 0 | 0.36 | 0.72 | 3.4 |
| 2018 | Atletico-MG | 1 | 0 | 0 | – | – | 0.7 |
| 2017 | Palmeiras | 1 | 0 | 0 | – | – | 1.5 |
Game Log · Last 3 Appearances · All Competitions
| Date | Opponent | Min | G | A | Sh | SoT | KP | Tkl | Cards | Rating | Impact | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-31 | v Nagoya Grampus | 90 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 6.4 | 4.6 | |
| 2026-10-21 | @ Kawasaki Frontale | 86 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6.7 | 3 | |
| 2026-10-18 | @ Fagiano Okayama | 83 | 0 | 0 | 2 | 0 | 2 | 2 | 0 | 6.2 | 3.3 |
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.
Impact Trend · Last 3 Matches
TACTIX Model: Erik’s Match Projections
Frequently Asked Questions
- How many shots does Erik average per 90?
- Erik averages 1.04 shots per 90 minutes in J1 League 2027 (259 minutes) — higher than 15% of 40 J1 League forwards with 217+ minutes.
- How many goals and assists does Erik have this season?
- This season Erik has 0 goals and 2 assists in 3 appearances (259 minutes played).
- Does Erik start every game?
- Erik started 3 of 3 appearances in 2027, averaging 86 minutes per appearance (all competitions).
- What is Erik’s TACTIX Impact rating?
- Erik averages a TACTIX Impact of 3.6 per match across 3 appearances in 2027 in all competitions — an open rating built from raw match actions, with every weight published.
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