RisingTransfers
AI DNA Similarity

Best Alternatives to Daley Blind

Players most similar to Daley Blind (Defender, €1.4M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Daley Blind

  1. 1.Clinton Mata85% DNA match·Olympique Lyonnais€3.0M
  2. 2.Jozhua Vertrouwd85% DNA match·Rayo Vallecano€3.0M
  3. 3.Eric García84% DNA match·FC Barcelona€35.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (2.0 tackles/90), commanding in the air (4.5 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (69 passes/90), penetrates with forward passing (10.0 final-third passes/90), central to possession (83 touches/90), uses long balls frequently (8.7/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. The three most similar players to Daley Blind by playing style are:

  • Clinton Mata(85% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.6 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (93% pass accuracy), wins the physical battle (64% duel success), central to possession (71 touches/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
  • Jozhua Vertrouwd(85% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.8 tackles/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (63 passes/90), central to possession (75 touches/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. Note: this profile is based on 498 minutes of playing time this season.
  • Eric García(84% match)A Ball-Playing CB. Statistically, he stands out as a capable chance creator (1.0 key passes/90), an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (71 passes/90), penetrates with forward passing (9.6 final-third passes/90), central to possession (88 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.

Transfer Intelligence

Clinton Mata delivers 85% of the same playing style, at a 114% premium over Daley Blind, with 1.29 tackles won per 90 at age 33.

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

D
Comparison Base
Daley Blind
DefenderNetherlands€1.4M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
C
Clinton Mata
Olympique Lyonnais · Ligue 1
Angola33yContract 2026
Tkl/901.29
KP/900.09
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Blind: 3y younger
85% match
€3.0M
#2
J
Jozhua Vertrouwd
Rayo Vallecano · La Liga
Netherlands21yContract 2026
Tkl/901.81
KP/900.36
Ball-Playing CBBall-Playing
vs Blind: 15y younger
85% match
€3.0M
#3
E
Eric García
FC Barcelona · La Liga
Spain25yContract 2026
Tkl/902.70
KP/901.01
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Blind: €34M more expensive · 11y younger
84% match
€35.0M
#4
R
Raúl Asencio
Real Madrid · La Liga
Spain23yContract 2031
Tkl/900.85
KP/900.39
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€25.0M
#5
D
Dean Huijsen
Real Madrid · La Liga
Spain21yContract 2030
Tkl/901.54
KP/900.37
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€70.0M
#6
L
Logan Costa
Villarreal · La Liga
Cape Verde25yContract 2030
Tkl/901.36
KP/900.15
Ball-Playing CB
84% match
€18.0M
#7
C
Carlos Domínguez
Celta de Vigo · La Liga
Spain25yContract 2026
Tkl/902.23
KP/900.17
Ball-Playing CBBall-Playing
84% match
€3.0M
#8
D
Dani Vivian
Athletic Club · La Liga
Spain26yContract 2032
Tkl/901.77
KP/900.25
Ball-Playing CBAerial
Last 5: ↑ Hot
83% match
€25.0M
#9
A
Arnau Martínez
Girona · La Liga
Spain23yContract 2027
Tkl/902.47
KP/900.62
Active Full-BackAerial
Last 5: → Stable
83% match
€10.0M
#10
M
Marcos Llorente
Atlético Madrid · La Liga
Spain31yContract 2027
Tkl/902.39
KP/900.74
Active Full-BackBall-Playing
Last 5: ↑ Hot
84% match
€22.0M
#11
V
Víctor Chust
Elche · La Liga
Spain26yContract 2026
Tkl/902.73
KP/900.19
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
84% match
€4.0M
#12
M
Mees de Wit
AZ · Eredivisie
Netherlands28yContract 2029
Tkl/902.28
KP/901.12
Active Full-Back
Last 5: → Stable
84% match
€4.5M

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 Daley Blind.

Ask AI about Daley Blind

Frequently Asked Questions

Who are the best alternatives to Daley Blind?
The top alternatives to Daley Blind based on AI DNA playing style analysis include: Clinton Mata, Jozhua Vertrouwd, Eric García, Raúl Asencio, Dean Huijsen. 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 Daley Blind in 2026?
Players with a similar profile to Daley Blind in 2026 include Clinton Mata (€3.0M), Jozhua Vertrouwd (€3.0M), Eric García (€35.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Daley Blind play and who plays similarly?
Daley Blind plays as a Defender. Players with a comparable positional profile include Clinton Mata (Angola, €3.0M); Jozhua Vertrouwd (Netherlands, €3.0M); Eric García (Spain, €35.0M); Raúl Asencio (Spain, €25.0M).
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.