RisingTransfers
AI DNA Similarity

Best Alternatives to Sho Sasaki

Players most similar to Sho Sasaki (Defender, €325K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Sho Sasaki

  1. 1.J. Witt99% DNA match·Hillerød
  2. 2.Diego Murillo99% DNA match·Málaga
  3. 3.Andreas Heimer99% DNA match·B 93

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

RT

Intelligence Verdict

Dribbled PastTop 22%
???Bottom 17%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.8 tackles/90), commanding in the air (4.3 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (70% duel success), penetrates with forward passing (11.2 final-third passes/90), central to possession (76 touches/90), dominant in the air (3.2 aerials won/90, 63%), uses long balls frequently (5.4/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. The three most similar players to Sho Sasaki by playing style are:

  • J. Witt(99% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.4 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (65% duel success), heavily involved in possession (79 passes/90), penetrates with forward passing (14.2 final-third passes/90), central to possession (94 touches/90), dominant in the air (3.2 aerials won/90, 64%), uses long balls frequently (13.6/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.
  • Diego Murillo(99% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), commanding in the air (4.7 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (62 passes/90), penetrates with forward passing (8.9 final-third passes/90), central to possession (78 touches/90), uses long balls frequently (10.1/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • Andreas Heimer(99% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.0 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (62% duel success), heavily involved in possession (76 passes/90), penetrates with forward passing (11.2 final-third passes/90), central to possession (91 touches/90), uses long balls frequently (8.1/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.

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

S
Comparison Base
Sho Sasaki
DefenderJapan€325K
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
J. Witt
Hillerød · Superliga
Denmark33y
Tkl/900.88
KP/900.33
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Sasaki: 3y younger
99% match
N/A
#2
D
Diego Murillo
Málaga · La Liga
Spain25yContract 2029
Tkl/901.65
KP/900.24
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Sasaki: 11y younger
99% match
N/A
#3
A
Andreas Heimer
B 93 · Superliga
Denmark28y
Tkl/901.79
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Sasaki: 8y younger
99% match
N/A
#4
E
Elison Makolli
Aalborg BK · Superliga
Sweden21y
Tkl/901.75
KP/900.12
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
99% match
N/A
#5
T
Tim Oberdorf
Fortuna Düsseldorf · Bundesliga
Germany29yContract 2026
Tkl/901.73
KP/900.49
Ball-Playing CBAerial
Last 5: → Stable
99% match
N/A
#6
N
Nemanja Nedić
Kolding IF · Superliga
Montenegro31y
Tkl/900.54
KP/900.36
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
99% match
N/A
#7
J
Jean Hugonet
Magdeburg · Bundesliga
France26y
Tkl/902.00
KP/900.60
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
99% match
N/A
#8
M
M. Soulas
Sønderjyske Fodbold · Superliga
France26yContract 2026
Tkl/901.64
KP/900.25
Ball-Playing CBAerial
Last 5: → Stable
99% match
N/A
#9
R
Rio Hillen
NAC Breda · Eredivisie
Netherlands23y
Tkl/902.26
KP/900.29
Ball-Playing CBAerial
Last 5: → Stable
99% match
N/A
#10
W
Wessel Dammers
Randers FC · Superliga
Netherlands31yContract 2026
Tkl/900.86
KP/900.14
Ball-Playing CBBall-Playing
Last 5: → Stable
99% match
N/A
#11
M
Marcus Kirchheiner
Aarhus Fremad · Superliga
Denmark29y
Tkl/902.00
KP/900.89
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
99% match
N/A
#12
M
Maas Willemsen
SC Heerenveen · Eredivisie
Netherlands23y
Tkl/901.02
KP/900.26
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
99% match
N/A

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 Sho Sasaki.

Ask AI about Sho Sasaki

Frequently Asked Questions

Who are the best alternatives to Sho Sasaki?
The top alternatives to Sho Sasaki based on AI DNA playing style analysis include: J. Witt, Diego Murillo, Andreas Heimer, Elison Makolli, Tim Oberdorf. 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 Sho Sasaki in 2026?
Players with a similar profile to Sho Sasaki in 2026 include J. Witt (N/A), Diego Murillo (N/A), Andreas Heimer (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sho Sasaki play and who plays similarly?
Sho Sasaki plays as a Defender. Players with a comparable positional profile include J. Witt (Denmark, N/A); Diego Murillo (Spain, N/A); Andreas Heimer (Denmark, N/A); Elison Makolli (Sweden, N/A).
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.