RisingTransfers
AI DNA Similarity

Best Alternatives to Ozan Kabak

Players most similar to Ozan Kabak (Defender, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Ozan Kabak

  1. 1.Edmond Tapsoba86% DNA match·Bayer 04 Leverkusen€35.0M
  2. 2.Danilho Doekhi85% DNA match·FC Union Berlin€13.0M
  3. 3.Rav van den Berg85% DNA match·FC Köln€8.0M

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

RT

Intelligence Verdict

ShotsTop 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 (7.7 clearances/90), wins the physical battle (64% duel success), central to possession (75 touches/90), dominant in the air (6.2 aerials won/90, 67%) and uses long balls frequently (5.0/90). The three most similar players to Ozan Kabak by playing style are:

  • Edmond Tapsoba(86% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.9 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (84 passes/90), penetrates with forward passing (8.8 final-third passes/90), central to possession (98 touches/90), uses long balls frequently (7.3/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Danilho Doekhi(85% 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.
  • Rav van den Berg(85% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.5 clearances/90), meticulous in distribution (94% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (63 passes/90) and central to possession (74 touches/90). Note: this profile is based on 858 minutes of playing time this season.

Transfer Intelligence

Edmond Tapsoba delivers 86% of the same playing style, at a 600% premium over Ozan Kabak, with 1.22 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 →

O
Comparison Base
Ozan Kabak
DefenderTurkey€5.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
E
Edmond Tapsoba
Bayer 04 Leverkusen · Bundesliga
Burkina Faso27yContract 2028
Tkl/901.22
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Kabak: €30M more expensive
86% match
€35.0M
#2
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
vs Kabak: €8M more expensive
85% match
€13.0M
#3
R
Rav van den Berg
FC Köln · Bundesliga
Netherlands21yContract 2030
Tkl/901.25
KP/900.00
Ball-Playing CBBall-Playing
vs Kabak: 5y younger
85% match
€8.0M
#4
I
Ibrahima Konaté
Liverpool · Premier League
France26yContract 2026
Tkl/901.60
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€50.0M
#5
N
Nico Schlotterbeck
Borussia Dortmund · Bundesliga
Germany26yContract 2027
Tkl/902.00
KP/900.89
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€55.0M
#6
C
Chibuike Nwaiwu
Trabzonspor · Super Lig
Nigeria22yContract 2030
Tkl/902.43
KP/900.29
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€6.0M
#7
J
Jonathan Tah
FC Bayern München · Bundesliga
Germany30yContract 2029
Tkl/901.28
KP/900.24
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€30.0M
#8
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€12.0M
#9
H
Hiroki Ito
FC Bayern München · Bundesliga
Japan27yContract 2028
Tkl/900.41
KP/900.83
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
85% match
€18.0M
#10
K
Keven Schlotterbeck
FC Augsburg · Bundesliga
Germany29yContract 2027
Tkl/901.26
KP/900.42
Ball-Playing CBBall-Playing
85% match
€6.0M
#11
J
Jeff Chabot
VfB Stuttgart · Bundesliga
Germany28yContract 2028
Tkl/901.73
KP/900.27
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€15.0M
#12
J
Jarell Quansah
Bayer 04 Leverkusen · Bundesliga
England23yContract 2030
Tkl/900.73
KP/900.27
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€40.0M

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 Ozan Kabak.

Ask AI about Ozan Kabak

Frequently Asked Questions

Who are the best alternatives to Ozan Kabak?
The top alternatives to Ozan Kabak based on AI DNA playing style analysis include: Edmond Tapsoba, Danilho Doekhi, Rav van den Berg, Ibrahima Konaté, Nico Schlotterbeck. 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 Ozan Kabak in 2026?
Players with a similar profile to Ozan Kabak in 2026 include Edmond Tapsoba (€35.0M), Danilho Doekhi (€13.0M), Rav van den Berg (€8.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ozan Kabak play and who plays similarly?
Ozan Kabak plays as a Defender. Players with a comparable positional profile include Edmond Tapsoba (Burkina Faso, €35.0M); Danilho Doekhi (Netherlands, €13.0M); Rav van den Berg (Netherlands, €8.0M); Ibrahima Konaté (France, €50.0M).
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.