RisingTransfers
AI DNA Similarity

Best Alternatives to Kevin Diks

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

Top 3 Alternatives to Kevin Diks

  1. 1.Ramon Hendriks89% DNA match·VfB Stuttgart€5.0M
  2. 2.Danilho Doekhi88% DNA match·FC Union Berlin€13.0M
  3. 3.Rasmus Kristensen86% DNA match·Eintracht Frankfurt€14.0M

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

RT

Intelligence Verdict

Press IntensityTop 5%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerialSmall Sample

A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.0 tackles/90), commanding in the air (4.9 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (66% duel success), heavily involved in possession (62 passes/90), central to possession (75 touches/90), uses long balls frequently (6.5/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. Note: this profile is based on 778 minutes of playing time this season. The three most similar players to Kevin Diks by playing style are:

  • Ramon Hendriks(89% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (68% duel success), heavily involved in possession (63 passes/90) and central to possession (77 touches/90). Note: this profile is based on 468 minutes of playing time this season.
  • Danilho Doekhi(88% 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.
  • Rasmus Kristensen(86% match)A Active Full-Back. Statistically, he stands out as active in the tackle (2.5 tackles/90), commanding in the air (4.4 clearances/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (55% duel success), penetrates with forward passing (9.0 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (5.7/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 761 minutes of playing time this season.

Transfer Intelligence

Ramon Hendriks delivers 89% of the same playing style, with 1.63 tackles won per 90 at age 24.

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

K
Comparison Base
Kevin Diks
DefenderNetherlands€5.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
R
Ramon Hendriks
VfB Stuttgart · Bundesliga
Netherlands24yContract 2028
Tkl/901.63
KP/900.55
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Diks: 5y younger
89% match
€5.0M
#2
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
vs Diks: €8M more expensive · 2y younger
88% match
€13.0M
#3
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
vs Diks: €9M more expensive
86% match
€14.0M
#4
A
Alexander Prass
TSG Hoffenheim · Bundesliga
Austria24yContract 2028
Tkl/902.22
KP/901.23
Physical Stopper
Last 5: ↓ Dip
84% match
€7.0M
#5
K
Ko Itakura
Ajax · Eredivisie
Japan29yContract 2029
Tkl/901.15
KP/900.14
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
84% match
€10.0M
#6
K
Keita Kosugi
Eintracht Frankfurt · Bundesliga
Japan20yContract 2031
Tkl/902.46
KP/901.88
Active Full-Back
84% match
€6.0M
#7
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
#8
S
Sebastian Sebulonsen
FC Köln · Bundesliga
Norway26yContract 2028
Tkl/900.81
KP/900.46
AerialSmall Sample
84% match
€5.5M
#9
N
Noahkai Banks
FC Augsburg · Bundesliga
Germany19yContract 2029
Tkl/902.18
KP/900.39
Ball-Playing CBAerial
84% match
€15.0M
#10
R
Robin Hranac
TSG Hoffenheim · Bundesliga
Czech Republic26yContract 2028
Tkl/901.34
KP/900.19
Ball-Playing CBAerial
84% match
€7.0M
#11
A
Albian Hajdari
TSG Hoffenheim · Bundesliga
Switzerland22yContract 2029
Tkl/901.18
KP/900.17
Ball-Playing CBBall-Playing
84% match
€20.0M
#12
M
Mitchell Dijks
Thép Xanh Nam Định · Serie A
Netherlands33y
Tkl/901.19
KP/900.24
Physical StopperSmall Sample
83% 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 Kevin Diks.

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Frequently Asked Questions

Who are the best alternatives to Kevin Diks?
The top alternatives to Kevin Diks based on AI DNA playing style analysis include: Ramon Hendriks, Danilho Doekhi, Rasmus Kristensen, Alexander Prass, Ko Itakura. 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 Kevin Diks in 2026?
Players with a similar profile to Kevin Diks in 2026 include Ramon Hendriks (€5.0M), Danilho Doekhi (€13.0M), Rasmus Kristensen (€14.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kevin Diks play and who plays similarly?
Kevin Diks plays as a Defender. Players with a comparable positional profile include Ramon Hendriks (Netherlands, €5.0M); Danilho Doekhi (Netherlands, €13.0M); Rasmus Kristensen (Denmark, €14.0M); Alexander Prass (Austria, €7.0M).
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.