RisingTransfers
AI DNA Similarity

Best Alternatives to Andrés Castrín

Players most similar to Andrés Castrín (Defender, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Andrés Castrín

  1. 1.Víctor Chust89% DNA match·Elche€4.0M
  2. 2.Pau Cubarsí88% DNA match·FC Barcelona€80.0M
  3. 3.Carlos Domínguez87% DNA match·Celta de Vigo€3.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 19%

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 (6.3 clearances/90), reads the game exceptionally (1.7 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (60% duel success), central to possession (75 touches/90), uses long balls frequently (7.3/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. The three most similar players to Andrés Castrín by playing style are:

  • Víctor Chust(89% match)A Ball-Playing CB. Statistically, he stands out as comfortable with both feet, an aggressive ball-winner (2.7 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (59% duel success), heavily involved in possession (64 passes/90), penetrates with forward passing (8.9 final-third passes/90), central to possession (78 touches/90), uses long balls frequently (5.1/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Pau Cubarsí(88% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.5 clearances/90), meticulous in distribution (95% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (92 passes/90), central to possession (102 touches/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
  • Carlos Domínguez(87% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (2.2 tackles/90), commanding in the air (6.5 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (66% duel success), heavily involved in possession (65 passes/90), central to possession (80 touches/90), uses long balls frequently (5.8/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 524 minutes of playing time this season.

Transfer Intelligence

Víctor Chust delivers 89% of the same playing style, at a 167% premium over Andrés Castrín, with 2.73 tackles won per 90 at age 26.

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

A
Comparison Base
Andrés Castrín
DefenderSpain€1.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
V
Víctor Chust
Elche · La Liga
Spain26yContract 2026
Tkl/902.73
KP/900.19
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Castrín: 4y older
89% match
€4.0M
#2
P
Pau Cubarsí
FC Barcelona · La Liga
Spain19yContract 2029
Tkl/901.36
KP/900.10
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Castrín: €79M more expensive · 3y younger
88% match
€80.0M
#3
C
Carlos Domínguez
Celta de Vigo · La Liga
Spain25yContract 2026
Tkl/902.23
KP/900.17
Ball-Playing CBBall-Playing
vs Castrín: 3y older
87% match
€3.0M
#4
E
Eric García
FC Barcelona · La Liga
Spain25yContract 2026
Tkl/902.70
KP/901.01
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
86% match
€35.0M
#5
R
Rafa Marín
Villarreal · La Liga
Spain23yContract 2026
Tkl/901.94
KP/900.30
Ball-Playing CBAerial
Last 5: → Stable
87% match
€12.0M
#6
Á
Álvaro Núñez
Celta de Vigo · La Liga
Spain25yContract 2026
Tkl/901.28
KP/901.22
Active Full-Back
Last 5: → Stable
86% match
€6.0M
#7
J
Joan Martínez
Real Madrid · La Liga
Spain18yContract 2029
Tkl/900.56
KP/900.00
Small Sample
86% match
€3.0M
#8
J
José Copete
Valencia · La Liga
Spain26yContract 2029
Tkl/901.42
KP/900.28
Ball-Playing CBAerial
85% match
€4.0M
#9
J
Jozhua Vertrouwd
Rayo Vallecano · La Liga
Netherlands21yContract 2026
Tkl/901.81
KP/900.36
Ball-Playing CBBall-Playing
86% match
€3.0M
#10
L
Logan Costa
Villarreal · La Liga
Cape Verde25yContract 2030
Tkl/901.36
KP/900.15
Ball-Playing CB
85% match
€18.0M
#11
D
Duje Caleta-Car
Real Sociedad · La Liga
Croatia29yContract 2026
Tkl/900.88
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
86% match
€3.0M
#12
J
Javi Rodríguez
Celta de Vigo · La Liga
Spain22yContract 2028
Tkl/901.50
KP/900.41
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€15.0M

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 Andrés Castrín.

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Frequently Asked Questions

Who are the best alternatives to Andrés Castrín?
The top alternatives to Andrés Castrín based on AI DNA playing style analysis include: Víctor Chust, Pau Cubarsí, Carlos Domínguez, Eric García, Rafa Marín. 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 Andrés Castrín in 2026?
Players with a similar profile to Andrés Castrín in 2026 include Víctor Chust (€4.0M), Pau Cubarsí (€80.0M), Carlos Domínguez (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Andrés Castrín play and who plays similarly?
Andrés Castrín plays as a Defender. Players with a comparable positional profile include Víctor Chust (Spain, €4.0M); Pau Cubarsí (Spain, €80.0M); Carlos Domínguez (Spain, €3.0M); Eric García (Spain, €35.0M).
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.