RisingTransfers
AI DNA Similarity

Best Alternatives to Josip Sutalo

Players most similar to Josip Sutalo (Defender, €17.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Josip Sutalo

  1. 1.Anel Ahmedhodzic89% DNA match·Feyenoord€12.0M
  2. 2.Ko Itakura86% DNA match·Ajax€10.0M
  3. 3.Danilho Doekhi86% DNA match·FC Union Berlin€13.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 2%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.1 clearances/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (65% duel success), heavily involved in possession (72 passes/90), central to possession (86 touches/90), uses long balls frequently (5.6/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. The three most similar players to Josip Sutalo by playing style are:

  • Anel Ahmedhodzic(89% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.0 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (60% duel success), central to possession (72 touches/90) and active off the ball (2.3 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.
  • Danilho Doekhi(86% match)A Physical Stopper. Statistically, he stands out as a regular goalscorer (0.33 goals/90), commanding in the air (5.3 clearances/90), wins the physical battle (62% duel success), dominant in the air (4.8 aerials won/90, 63%) and uses long balls frequently (7.5/90). Note: this profile is based on 540 minutes of playing time this season.

Transfer Intelligence

Anel Ahmedhodzic delivers 89% of the same playing style, at 29% lower cost (€12.0M vs €17.0M), with 1.10 tackles won per 90 at age 27.

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

J
Comparison Base
Josip Sutalo
DefenderCroatia€17.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
89% match
€12.0M
#2
K
Ko Itakura
Ajax · Eredivisie
Japan29yContract 2029
Tkl/901.15
KP/900.14
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Sutalo: €7M cheaper · 3y older
86% match
€10.0M
#3
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
86% match
€13.0M
#4
J
Jaka Bijol
Leeds United · Premier League
Slovenia27yContract 2030
Tkl/901.30
KP/900.36
Ball-Playing CBAerial
Last 5: ↓ Dip
85% match
€18.0M
#5
S
Sam Beukema
Napoli · Serie A
Netherlands27yContract 2030
Tkl/901.04
KP/900.34
Ball-Playing CBBall-Playing
86% match
€28.0M
#6
T
Tiago Djaló
Beşiktaş · Super Lig
Portugal26yContract 2028
Tkl/901.48
KP/900.25
Ball-Playing CBAerial
Last 5: ↑ Hot
85% match
€7.0M
#7
T
Tsuyoshi Watanabe
Feyenoord · Eredivisie
Japan29yContract 2029
Tkl/901.16
KP/900.44
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€10.0M
#8
T
Tarik Muharemović
Sassuolo · Serie A
Bosnia and Herzegovina23yContract 2031
Tkl/901.36
KP/900.09
Ball-Playing CBAerial
Last 5: → Stable
85% match
€20.0M
#9
Y
Yarek Gasiorowski
PSV · Eredivisie
Spain21yContract 2030
Tkl/901.18
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€16.0M
#10
A
Armel Bella-Kotchap
Hellas Verona · Serie A
Germany24yContract 2030
Tkl/901.16
KP/900.00
Physical StopperAerial
85% match
€7.5M
#11
A
Ahmetcan Kaplan
NEC Nijmegen · Eredivisie
Turkey23y
Tkl/902.15
KP/900.44
Ball-Playing CBAerial
Last 5: → Stable
85% match
€9.5M
#12
W
Wouter Goes
AZ · Eredivisie
Netherlands21yContract 2028
Tkl/901.25
KP/900.34
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
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 Josip Sutalo.

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Frequently Asked Questions

Who are the best alternatives to Josip Sutalo?
The top alternatives to Josip Sutalo based on AI DNA playing style analysis include: Anel Ahmedhodzic, Ko Itakura, Danilho Doekhi, Jaka Bijol, Sam Beukema. 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 Josip Sutalo in 2026?
Players with a similar profile to Josip Sutalo in 2026 include Anel Ahmedhodzic (€12.0M), Ko Itakura (€10.0M), Danilho Doekhi (€13.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Josip Sutalo play and who plays similarly?
Josip Sutalo plays as a Defender. Players with a comparable positional profile include Anel Ahmedhodzic (Bosnia and Herzegovina, €12.0M); Ko Itakura (Japan, €10.0M); Danilho Doekhi (Netherlands, €13.0M); Jaka Bijol (Slovenia, €18.0M).
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.