RisingTransfers
AI DNA Similarity

Best Alternatives to Takehiro Tomiyasu

Players most similar to Takehiro Tomiyasu (Defender, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Takehiro Tomiyasu

  1. 1.Tsuyoshi Watanabe87% DNA match·Feyenoord€10.0M
  2. 2.Ko Itakura86% DNA match·Ajax€10.0M
  3. 3.Yarek Gasiorowski85% DNA match·PSV€16.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

InterceptionsTop 0%
???Bottom 0%

A Active Full-Back....

See Full Verdict + Share Card →

Playing Style Analysis

Active Full-Back

A Active Full-Back. Statistically, he stands out as meticulous in distribution (86% pass accuracy). The three most similar players to Takehiro Tomiyasu by playing style are:

  • Tsuyoshi Watanabe(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.0 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (62 passes/90), central to possession (75 touches/90), strong in aerial duels (3.2 aerials won/90), uses long balls frequently (5.2/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Ko Itakura(86% match)Itakura is the kind of defender who wins games in the margins — not with last-ditch tackles, but with the quiet authority of a man who rarely puts the ball in the wrong place. His 93.3% pass accuracy sits in the top 5% of Eredivisie defenders, which tells you this isn't a player just lumping it clear; he's building from the back with genuine precision. His aerial and ground duel win rates both land in the top 20%, making him a reliably dominant physical presence.
  • Yarek Gasiorowski(85% match)Gasiorowski occupies a fascinating niche in the Eredivisie: a centre-back who quietly outscores most midfielders, registering goals at a top-10% rate while ostensibly being paid to stop them. That goalscoring output is the counterintuitive headline here — it signals genuine attacking instinct and timing in the box, not just set-piece fortune. His interception numbers (top 20%) confirm sharp positional reading, and a pass accuracy of 89.5% with 64.4 passes per 90 marks him as a composed, high-volume distributor.

Transfer Intelligence

Tsuyoshi Watanabe delivers 87% of the same playing style, at 17% lower cost (€10.0M vs €12.0M), with 1.16 tackles won per 90 at age 29.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

T
Comparison Base
Takehiro Tomiyasu
DefenderJapan€12.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
T
Tsuyoshi Watanabe
Feyenoord · Eredivisie
Japan29yContract 2029
Tkl/901.16
KP/900.44
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Tomiyasu: 2y older
87% match
€10.0M
#2
K
Ko Itakura
Ajax · Eredivisie
Japan29yContract 2029
Tkl/901.15
KP/900.14
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Tomiyasu: 2y older
86% match
€10.0M
#3
Y
Yarek Gasiorowski
PSV · Eredivisie
Spain21yContract 2030
Tkl/901.18
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Tomiyasu: 6y younger
85% match
€16.0M
#4
J
J. Timber
Arsenal · Premier League
Netherlands24yContract 2028
Tkl/902.42
KP/900.99
Active Full-Back
Last 5: → Stable
85% match
€70.0M
#5
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€12.0M
#6
W
Wouter Goes
AZ · Eredivisie
Netherlands21yContract 2028
Tkl/901.25
KP/900.34
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
85% match
€12.0M
#7
S
Sergiño Dest
PSV · Eredivisie
United States25yContract 2028
Tkl/902.21
KP/901.11
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€18.0M
#8
M
Mees de Wit
AZ · Eredivisie
Netherlands28yContract 2029
Tkl/902.28
KP/901.12
Active Full-Back
Last 5: → Stable
84% match
€4.5M
#9
J
Jordan Bos
Feyenoord · Eredivisie
Australia23yContract 2029
Tkl/903.11
KP/901.65
Active Full-Back
Last 5: ↓ Dip
83% match
€5.0M
#10
A
Anton Gaaei
Ajax · Eredivisie
Denmark23yContract 2028
Tkl/901.38
KP/901.48
Active Full-Back
Last 5: ↑ Hot
84% match
€5.0M
#11
J
Jordan Lotomba
Feyenoord · Eredivisie
Switzerland27yContract 2027
Tkl/901.66
KP/900.39
Last 5: ↑ Hot
84% match
€5.0M
#12
A
Anass Salah-Eddine
PSV · Eredivisie
Netherlands24yContract 2026
Tkl/902.40
KP/900.86
Active Full-Back
Last 5: → Stable
84% match
€12.0M

Ask AI: Why are these players similar?

Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Takehiro Tomiyasu.

Ask AI about Takehiro Tomiyasu

Frequently Asked Questions

Who are the best alternatives to Takehiro Tomiyasu?
The top alternatives to Takehiro Tomiyasu based on AI DNA playing style analysis include: Tsuyoshi Watanabe, Ko Itakura, Yarek Gasiorowski, J. Timber, Anel Ahmedhodzic. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.
Which players are similar to Takehiro Tomiyasu in 2026?
Players with a similar profile to Takehiro Tomiyasu in 2026 include Tsuyoshi Watanabe (€10.0M), Ko Itakura (€10.0M), Yarek Gasiorowski (€16.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Takehiro Tomiyasu play and who plays similarly?
Takehiro Tomiyasu plays as a Defender. Players with a comparable positional profile include Tsuyoshi Watanabe (Japan, €10.0M); Ko Itakura (Japan, €10.0M); Yarek Gasiorowski (Spain, €16.0M); J. Timber (Netherlands, €70.0M).
How does Rising Transfers find similar players?
Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.