RisingTransfers
AI DNA Similarity

Best Alternatives to Carlos Puga

Players most similar to Carlos Puga (Defender, €20.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Carlos Puga

  1. 1.David Affengruber87% DNA match·Elche€9.0M
  2. 2.Arnau Martínez87% DNA match·Girona€10.0M
  3. 3.Eric García86% DNA match·FC Barcelona€35.0M

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

RT

Intelligence Verdict

Press IntensityTop 4%
???Bottom 0%

A Active Full-Back....

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Playing Style Analysis

Active Full-Back

A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.2 key passes/90), an aggressive ball-winner (3.4 tackles/90), wins the ball cleanly (2.4 successful tackles/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Carlos Puga by playing style are:

  • David Affengruber(87% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.1 tackles/90), commanding in the air (5.4 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (64% duel success), heavily involved in possession (62 passes/90), central to possession (78 touches/90), uses long balls frequently (5.5/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
  • Arnau Martínez(87% match)A Active Full-Back. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), commanding in the air (4.6 clearances/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (56% duel success), central to possession (71 touches/90), uses long balls frequently (6.3/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • Eric García(86% 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

David Affengruber delivers 87% of the same playing style, at 55% lower cost (€9.0M vs €20.0M), with 2.10 tackles won per 90 at age 25.

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

C
Comparison Base
Carlos Puga
DefenderSpain€20.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
D
David Affengruber
Elche · La Liga
Austria25yContract 2026
Tkl/902.10
KP/900.30
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Puga: €11M cheaper
87% match
€9.0M
#2
A
Arnau Martínez
Girona · La Liga
Spain23yContract 2027
Tkl/902.47
KP/900.62
Active Full-BackAerial
Last 5: → Stable
vs Puga: €10M cheaper · 2y younger
87% match
€10.0M
#3
E
Eric García
FC Barcelona · La Liga
Spain25yContract 2026
Tkl/902.70
KP/901.01
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Puga: €15M more expensive
86% match
€35.0M
#4
J
Jon Aramburu
Real Sociedad · La Liga
Venezuela23yContract 2030
Tkl/903.33
KP/900.35
Active Full-Back
Last 5: ↓ Dip
86% match
€15.0M
#5
M
Marc Pubill
Atlético Madrid · La Liga
Spain22yContract 2030
Tkl/901.68
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
86% match
€28.0M
#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
M
Matteo Ruggeri
Atlético Madrid · La Liga
Italy23yContract 2030
Tkl/902.91
KP/901.27
Active Full-Back
Last 5: → Stable
86% match
€15.0M
#8
M
Marcos Llorente
Atlético Madrid · La Liga
Spain31yContract 2027
Tkl/902.39
KP/900.74
Active Full-BackBall-Playing
Last 5: ↑ Hot
86% match
€22.0M
#9
J
Juan Iglesias
Getafe · La Liga
Spain27yContract 2026
Tkl/903.13
KP/900.57
Last 5: → Stable
85% match
€5.0M
#10
S
Santiago Mouriño
Villarreal · La Liga
Uruguay24yContract 2030
Tkl/904.31
KP/900.31
Active Full-BackAerial
Last 5: → Stable
86% match
€10.0M
#11
V
Víctor García
Levante · La Liga
Spain28y
Tkl/902.25
KP/901.20
Active Full-BackSmall Sample
Last 5: → Stable
86% match
€7.0M
#12
C
Carlos Romero
Espanyol · La Liga
Spain24yContract 2026
Tkl/903.07
KP/900.62
Last 5: → Stable
85% match
€25.0M

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 Carlos Puga.

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Frequently Asked Questions

Who are the best alternatives to Carlos Puga?
The top alternatives to Carlos Puga based on AI DNA playing style analysis include: David Affengruber, Arnau Martínez, Eric García, Jon Aramburu, Marc Pubill. 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 Carlos Puga in 2026?
Players with a similar profile to Carlos Puga in 2026 include David Affengruber (€9.0M), Arnau Martínez (€10.0M), 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 Carlos Puga play and who plays similarly?
Carlos Puga plays as a Defender. Players with a comparable positional profile include David Affengruber (Austria, €9.0M); Arnau Martínez (Spain, €10.0M); Eric García (Spain, €35.0M); Jon Aramburu (Venezuela, €15.0M).
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.