RisingTransfers
AI DNA Similarity

Best Alternatives to Jorge Cuenca

Players most similar to Jorge Cuenca (Defender, €8.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jorge Cuenca

  1. 1.Jair Cunha 86% DNA match·Nottingham Forest€12.0M
  2. 2.Cristhian Mosquera86% DNA match·Arsenal€35.0M
  3. 3.Piero Hincapié86% DNA match·Arsenal€50.0M

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, commanding in the air (7.1 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (60 passes/90), central to possession (74 touches/90), uses long balls frequently (7.1/90) and active off the ball (2.3 press score/90), contributing to defensive transitions. The three most similar players to Jorge Cuenca by playing style are:

  • Jair Cunha (86% match)A Ball-Playing CB. Statistically, he stands out as comfortable with both feet, commanding in the air (5.5 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (72% duel success) and uses long balls frequently (6.0/90).
  • Cristhian Mosquera(86% match)A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (3.0 tackles/90), commanding in the air (4.2 clearances/90), meticulous in distribution (91% pass accuracy), wins the ball cleanly (2.1 successful tackles/90), central to possession (71 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 808 minutes of playing time this season.
  • Piero Hincapié(86% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.5 tackles/90), commanding in the air (4.6 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (60% duel success) and active off the ball (2.1 press score/90), contributing to defensive transitions.

Transfer Intelligence

Jair Cunha  delivers 86% of the same playing style, at a 50% premium over Jorge Cuenca, with 1.61 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 →

J
Comparison Base
Jorge Cuenca
DefenderSpain€8.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jair Cunha 
Nottingham Forest · Premier League
Brazil21yContract 2030
Tkl/901.61
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Cuenca: 5y younger
86% match
€12.0M
#2
C
Cristhian Mosquera
Arsenal · Premier League
Spain21yContract 2030
Tkl/903.01
KP/900.45
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Cuenca: €27M more expensive · 5y younger
86% match
€35.0M
#3
P
Piero Hincapié
Arsenal · Premier League
Ecuador24yContract 2026
Tkl/902.51
KP/900.69
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Cuenca: €42M more expensive · 2y younger
86% match
€50.0M
#4
M
Murillo
Nottingham Forest · Premier League
Brazil23yContract 2029
Tkl/901.48
KP/900.38
Ball-Playing CBAerial
Last 5: → Stable
85% match
€12.0M
#5
Y
Yerson Mosquera
Wolverhampton Wanderers · Premier League
Colombia25yContract 2030
Tkl/902.62
KP/900.51
Physical StopperAerial
Last 5: → Stable
86% match
€10.0M
#6
C
Chadi Riad
Crystal Palace · Premier League
Morocco22yContract 2029
Tkl/901.62
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
85% match
€12.0M
#7
J
Jan Paul van Hecke
Brighton & Hove Albion · Premier League
Netherlands25yContract 2027
Tkl/901.54
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€35.0M
#8
M
Marcos Senesi
AFC Bournemouth · Premier League
Argentina29yContract 2026
Tkl/901.71
KP/900.69
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€22.0M
#9
L
Lewis Dunk
Brighton & Hove Albion · Premier League
England34yContract 2026
Tkl/901.12
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€4.0M
#10
S
Santiago Bueno
Wolverhampton Wanderers · Premier League
Uruguay27yContract 2028
Tkl/901.90
KP/900.34
Ball-Playing CBAerial
Last 5: → Stable
85% match
€10.0M
#11
M
Morato
Nottingham Forest · Premier League
Brazil24yContract 2029
Tkl/902.08
KP/900.15
Ball-Playing CBAerial
Last 5: ↓ Dip
85% match
€14.0M
#12
J
James Hill
AFC Bournemouth · Premier League
England24yContract 2026
Tkl/901.77
KP/900.61
Physical StopperAerial
Last 5: → Stable
85% 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 Jorge Cuenca.

Ask AI about Jorge Cuenca

Frequently Asked Questions

Who are the best alternatives to Jorge Cuenca?
The top alternatives to Jorge Cuenca based on AI DNA playing style analysis include: Jair Cunha , Cristhian Mosquera, Piero Hincapié, Murillo, Yerson Mosquera. 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 Jorge Cuenca in 2026?
Players with a similar profile to Jorge Cuenca in 2026 include Jair Cunha  (€12.0M), Cristhian Mosquera (€35.0M), Piero Hincapié (€50.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jorge Cuenca play and who plays similarly?
Jorge Cuenca plays as a Defender. Players with a comparable positional profile include Jair Cunha  (Brazil, €12.0M); Cristhian Mosquera (Spain, €35.0M); Piero Hincapié (Ecuador, €50.0M); Murillo (Brazil, €12.0M).
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.