RisingTransfers
AI DNA Similarity

Best Alternatives to Federico Redondo

Players most similar to Federico Redondo (Midfielder, €4.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Federico Redondo

  1. 1.Marc Aguado85% DNA match·Elche€3.0M
  2. 2.Ander Guevara86% DNA match·Deportivo Alavés€3.0M
  3. 3.Alex Freeman85% DNA match·Villarreal€3.5M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

Redondo is the quintessential "volume controller" whose surgical distribution and relentless...

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Playing Style Analysis

Chance CreatorDeep Distributor

Redondo is the quintessential "volume controller" whose surgical distribution and relentless defensive work rate suggest a player far more physically imposing than his duel success rate implies. Operating at a Tier C club, he is effectively the entire engine room, ranking in the top 5% for both passes per 90 (84.3) and tackles won (1.91), a rare statistical profile that combines the elegance of a deep-lying playmaker with the grit of a ball-winner. The counterintuitive insight lies in his goalscoring; despite sitting in the bottom 10% for shot volume, his 0.27 goals per 90 (top 5%) reveals a lethal efficiency when he does arrive late in the box. The three most similar players to Federico Redondo by playing style are:

  • Marc Aguado(85% match)A Ball-Winner. Statistically, he stands out as active in the tackle (1.9 tackles/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (63% duel success), heavily involved in play (57 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Ander Guevara(86% match)A Metronome. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a reliable supplier (0.18 assists/90), active in the tackle (1.8 tackles/90), central to possession (76 touches/90), switches play with precision (5.6 long balls/90, 61% accuracy) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up. However, he can be exposed in 1v1 situations and loses possession under pressure (1.6 dispossessed/90).
  • Alex Freeman(85% match)A Active Full-Back. Statistically, he stands out as an elite creator (1.6 key passes/90), a regular goalscorer (0.21 goals/90), wins the physical battle (58% duel success) and active off the ball (2.4 press score/90), contributing to defensive transitions.

Transfer Intelligence

Marc Aguado delivers 85% of the same playing style, at 25% lower cost (€3.0M vs €4.0M), with 0.31 key passes per 90 at age 26.

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

F
Comparison Base
Federico Redondo
MidfielderArgentina€4.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Marc Aguado
Elche · La Liga
Spain26yContract 2027
KP/900.31
G/900.00
Ball-Winner
Last 5: ↑ Hot
vs Redondo: 3y older
85% match
€3.0M
#2
A
Ander Guevara
Deportivo Alavés · La Liga
Spain28yContract 2027
KP/901.08
G/900.18
MetronomeSmall Sample
Last 5: ↑ Hot
vs Redondo: 5y older
86% match
€3.0M
#3
A
Alex Freeman
Villarreal · La Liga
United States21yContract 2025
Tkl/902.69
KP/900.00
Active Full-Back
Last 5: → Stable
vs Redondo: 2y younger
85% match
€3.5M
#4
A
Alejandro Rego
Athletic Club · La Liga
Spain22yContract 2026
KP/900.86
G/900.11
Ball-WinnerDefensive
Last 5: ↓ Dip
85% match
€3.0M
#5
J
Jude Bellingham
Real Madrid · La Liga
England22yContract 2029
KP/901.67
G/900.20
CreatorCreative
Last 5: ↓ Dip
84% match
€140.0M
#6
D
Diego Rodrigues
Sporting Braga · Liga Portugal
Portugal20yContract 2027
KP/902.02
G/900.11
Box-to-BoxCreative
Last 5: → Stable
85% match
€4.5M
#7
E
Edu Expósito
Espanyol · La Liga
Spain29yContract 2027
KP/903.18
G/900.00
Box-to-BoxCreative
Last 5: → Stable
85% match
€4.0M
#8
B
Brais Méndez
Real Sociedad · La Liga
Spain29yContract 2028
KP/901.17
G/900.31
Creator
84% match
€12.0M
#9
E
Ezequiel Fernández
Bayer 04 Leverkusen · Bundesliga
Argentina23yContract 2030
KP/901.03
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
85% match
€25.0M
#10
A
Aurélien Tchouaméni
Real Madrid · La Liga
France26yContract 2028
KP/900.70
G/900.06
Metronome
Last 5: ↓ Dip
84% match
€75.0M
#11
E
Enzo Leopold
Hannover 96 · Bundesliga
Germany25yContract 2026
KP/902.00
G/900.00
MetronomeCreative
Last 5: ↓ Dip
84% match
N/A
#12
B
Baptiste Santamaria
Valencia · La Liga
France31yContract 2027
KP/900.28
G/900.00
Box-to-BoxSmall Sample
85% 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 Federico Redondo.

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Frequently Asked Questions

Who are the best alternatives to Federico Redondo?
The top alternatives to Federico Redondo based on AI DNA playing style analysis include: Marc Aguado, Ander Guevara, Alex Freeman, Alejandro Rego, Jude Bellingham. 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 Federico Redondo in 2026?
Players with a similar profile to Federico Redondo in 2026 include Marc Aguado (€3.0M), Ander Guevara (€3.0M), Alex Freeman (€3.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Federico Redondo play and who plays similarly?
Federico Redondo plays as a Midfielder. Players with a comparable positional profile include Marc Aguado (Spain, €3.0M); Ander Guevara (Spain, €3.0M); Alex Freeman (United States, €3.5M); Alejandro Rego (Spain, €3.0M).
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.