RisingTransfers
AI DNA Similarity

Best Alternatives to Djibril Thialaw Diop

Players most similar to Djibril Thialaw Diop (Defender, €400K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Djibril Thialaw Diop

  1. 1.Elison Makolli99% DNA match·Aalborg BK
  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

Press IntensityTop 13%

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 (2.0 tackles/90), commanding in the air (4.3 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (65 passes/90), penetrates with forward passing (9.5 final-third passes/90), central to possession (77 touches/90), uses long balls frequently (5.4/90) and active off the ball (2.3 press score/90), contributing to defensive transitions. The three most similar players to Djibril Thialaw Diop by playing style are:

  • Elison Makolli(99% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.4 clearances/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (71 passes/90), central to possession (86 touches/90), uses long balls frequently (5.3/90) and active off the ball (2.4 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 →

D
Comparison Base
Djibril Thialaw Diop
DefenderSenegal€400K
Full profile →

Similar Players — Ranked by DNA Similarity

#1
E
Elison Makolli
Aalborg BK · Superliga
Sweden21y
Tkl/901.75
KP/900.12
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Diop: 6y 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 Diop: 2y 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
99% match
N/A
#4
S
Shawn Adewoye
Fortuna Sittard · Eredivisie
Belgium25yContract 2026
Tkl/901.96
KP/900.13
Ball-Playing CBAerial
Last 5: → Stable
99% match
N/A
#5
J
Julius Berthel Askou
Odense BK · Superliga
Denmark19yContract 2027
Tkl/903.13
KP/900.00
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
99% match
N/A
#6
T
Tim Oberdorf
Fortuna Düsseldorf · Bundesliga
Germany29yContract 2026
Tkl/901.73
KP/900.49
Ball-Playing CBAerial
Last 5: → Stable
99% match
N/A
#7
J
J. Witt
Hillerød · Superliga
Denmark33y
Tkl/900.88
KP/900.33
Ball-Playing CBBall-Playing
Last 5: → Stable
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
W. Glindtvad
Hillerød · Superliga
Denmark19y
Tkl/902.14
KP/900.29
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
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

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 Djibril Thialaw Diop.

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Frequently Asked Questions

Who are the best alternatives to Djibril Thialaw Diop?
The top alternatives to Djibril Thialaw Diop based on AI DNA playing style analysis include: Elison Makolli, Diego Murillo, Andreas Heimer, Shawn Adewoye, Julius Berthel Askou. 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 Djibril Thialaw Diop in 2026?
Players with a similar profile to Djibril Thialaw Diop in 2026 include Elison Makolli (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 Djibril Thialaw Diop play and who plays similarly?
Djibril Thialaw Diop plays as a Defender. Players with a comparable positional profile include Elison Makolli (Sweden, N/A); Diego Murillo (Spain, N/A); Andreas Heimer (Denmark, N/A); Shawn Adewoye (Belgium, 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.