RisingTransfers
AI DNA Similarity

Best Alternatives to Matt Clarke

Players most similar to Matt Clarke (Defender, €2.2M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Matt Clarke

  1. 1.Mads Fenger76% DNA match·Horsens
  2. 2.Nilton76% DNA match·K. Beerschot V.A.
  3. 3.E. Bayrak76% DNA match·HB Køge

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

RT

Intelligence Verdict

Aerials WonTop 11%

“A Ball-Playing CB....”

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Playing Style Analysis

Ball-Playing CBAerial

A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (9.4 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (59% duel success), strong in aerial duels (3.8 aerials won/90), uses long balls frequently (8.8/90) and active off the ball (2.3 press score/90), contributing to defensive transitions. The three most similar players to Matt Clarke by playing style are:

  • Mads Fenger(76% match) — A Defender.
  • Nilton(76% match) — A Defender.
  • E. Bayrak(76% match) — A Defender.

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

M
Comparison Base
Matt Clarke
DefenderEngland€2.2M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mads Fenger
Horsens · Superliga
Denmark35yContract 2026
Tkl/900.00
KP/900.00
vs Clarke: 6y older
76% match
N/A
#2
N
Nilton
K. Beerschot V.A. · Liga Portugal
Portugal24y
Tkl/902.23
KP/900.64
Last 5: → Stable
vs Clarke: 5y younger
76% match
N/A
#3
E
E. Bayrak
HB Køge · Superliga
Denmark19y
Tkl/900.28
KP/900.07
vs Clarke: 10y younger
76% match
N/A
#4
D
Doriano Marvin Kortstam
Halsteren · Eredivisie
Curaçao31y
Tkl/900.00
KP/900.00
76% match
N/A
#5
E
Emil Møller
B 93 · Superliga
Denmark21y
Tkl/900.07
KP/900.13
Last 5: ↑ Hot
76% match
N/A
#6
L
Luis Pedro
ASWH · Eredivisie
Netherlands34y
Tkl/900.00
KP/900.00
76% match
N/A
#7
T
Till Schumacher
Saarbrücken · Bundesliga
Germany28yContract 2026
Tkl/900.00
KP/900.00
76% match
N/A
#8
D
Darryl Baly
Lisse · Eredivisie
Aruba28y
Tkl/900.00
KP/900.00
76% match
N/A
#9
D
Daniel Lønborg Thøgersen
Fredericia · Superliga
Denmark26y
Tkl/900.27
KP/900.11
76% match
N/A
#10
M
Magnus Lysholm
Hvidovre · Superliga
Denmark24y
Tkl/900.00
KP/900.00
76% match
N/A
#11
D
Dean van der Sluys
Kozakken Boys · Eredivisie
Netherlands30y
Tkl/901.49
KP/900.87
Solid Defender
76% match
N/A
#12
D
Damian van der Haar
PEC Zwolle · Eredivisie
Netherlands22yContract 2028
Tkl/901.75
KP/900.72
Solid Defender
76% match
N/A
Compare head-to-head:Clarke vs Fenger →Clarke vs Nilton →Clarke vs Bayrak →
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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 Matt Clarke.

Ask AI about Matt Clarke →

Frequently Asked Questions

Who are the best alternatives to Matt Clarke?▼
The top alternatives to Matt Clarke based on AI DNA playing style analysis include: Mads Fenger, Nilton, E. Bayrak, Doriano Marvin Kortstam, Emil Møller. 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 Matt Clarke in 2026?▼
Players with a similar profile to Matt Clarke in 2026 include Mads Fenger (N/A), Nilton (N/A), E. Bayrak (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Matt Clarke play and who plays similarly?▼
Matt Clarke plays as a Defender. Players with a comparable positional profile include Mads Fenger (Denmark, N/A); Nilton (Portugal, N/A); E. Bayrak (Denmark, N/A); Doriano Marvin Kortstam (Curaçao, 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.
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