RisingTransfers
AI DNA Similarity

Best Alternatives to Gabriel Fuentes

Players most similar to Gabriel Fuentes (Defender, €1.7M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Gabriel Fuentes

  1. 1.Jacobo Ramón85% DNA match·Como€18.0M
  2. 2.Alejandro Francés86% DNA match·Girona€3.0M
  3. 3.Carlos Augusto86% DNA match·Inter€26.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Active Full-Back....

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Playing Style Analysis

Active Full-BackSmall Sample

A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.2 key passes/90), active in the tackle (2.2 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (60% duel success) and central to possession (72 touches/90). Note: this profile is based on 823 minutes of playing time this season. The three most similar players to Gabriel Fuentes by playing style are:

  • Jacobo Ramón(85% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (73 passes/90), central to possession (87 touches/90), dominant in the air (3.7 aerials won/90, 70%) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • Alejandro Francés(86% match)A Ball-Playing CB. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a prolific assist provider (0.29 assists/90), active in the tackle (2.3 tackles/90), commanding in the air (5.3 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (72% duel success), penetrates with forward passing (9.2 final-third passes/90), central to possession (78 touches/90), draws fouls effectively (2.2/90), uses long balls frequently (10.1/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 616 minutes of playing time this season.
  • Carlos Augusto(86% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, active in the tackle (2.5 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (65% duel success), central to possession (77 touches/90), dominant in the air (4.0 aerials won/90, 76%) and top 10% tackler in the league. Note: this profile is based on 653 minutes of playing time this season.

Transfer Intelligence

Jacobo Ramón delivers 85% of the same playing style, at a 959% premium over Gabriel Fuentes, with 1.95 tackles won per 90 at age 21.

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

G
Comparison Base
Gabriel Fuentes
DefenderColombia€1.7M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jacobo Ramón
Como · Serie A
Spain21yContract 2030
Tkl/901.95
KP/900.43
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Fuentes: €16M more expensive · 8y younger
85% match
€18.0M
#2
A
Alejandro Francés
Girona · La Liga
Spain23yContract 2029
Tkl/902.17
KP/901.02
Ball-Playing CBAerial
Last 5: → Stable
vs Fuentes: 6y younger
86% match
€3.0M
#3
C
Carlos Augusto
Inter · Serie A
Brazil27yContract 2028
Tkl/902.48
KP/900.83
Active Full-BackBall-Playing
Last 5: ↓ Dip
vs Fuentes: €24M more expensive · 2y younger
86% match
€26.0M
#4
L
Lloyd Kelly
Juventus · Serie A
England27yContract 2029
Tkl/901.77
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€20.0M
#5
N
Nadir Zortea
Bologna · Serie A
Italy26yContract 2029
Tkl/901.19
KP/901.19
Last 5: → Stable
85% match
€7.5M
#6
T
Thomas Kristensen
Udinese · Serie A
Denmark24yContract 2028
Tkl/901.08
KP/900.08
Physical StopperAerial
Last 5: ↓ Dip
85% match
€12.0M
#7
J
Johan Vásquez
Genoa · Serie A
Mexico27yContract 2027
Tkl/901.67
KP/900.17
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€13.0M
#8
A
Adam Obert
Cagliari · Serie A
Slovakia23yContract 2029
Tkl/902.19
KP/900.83
Reading Defender
Last 5: ↑ Hot
85% match
€4.0M
#9
G
Gabriele Zappa
Cagliari · Serie A
Italy26yContract 2030
Tkl/901.79
KP/901.00
Active Full-BackSmall Sample
85% match
€4.0M
#10
G
Guillermo Maripán
Torino · Serie A
Chile32yContract 2026
Tkl/902.54
KP/900.65
Physical StopperAerial
84% match
€3.0M
#11
O
Oumar Solet
Udinese · Serie A
France26yContract 2027
Tkl/902.13
KP/900.67
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
84% match
€20.0M
#12
E
Emanuele Valeri
Parma · Serie A
Italy27yContract 2027
Tkl/901.51
KP/901.59
Active Full-Back
85% match
€3.0M

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 Gabriel Fuentes.

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Frequently Asked Questions

Who are the best alternatives to Gabriel Fuentes?
The top alternatives to Gabriel Fuentes based on AI DNA playing style analysis include: Jacobo Ramón, Alejandro Francés, Carlos Augusto, Lloyd Kelly, Nadir Zortea. 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 Gabriel Fuentes in 2026?
Players with a similar profile to Gabriel Fuentes in 2026 include Jacobo Ramón (€18.0M), Alejandro Francés (€3.0M), Carlos Augusto (€26.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Gabriel Fuentes play and who plays similarly?
Gabriel Fuentes plays as a Defender. Players with a comparable positional profile include Jacobo Ramón (Spain, €18.0M); Alejandro Francés (Spain, €3.0M); Carlos Augusto (Brazil, €26.0M); Lloyd Kelly (England, €20.0M).
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.