RisingTransfers
AI DNA Similarity

Best Alternatives to Bruno Fernandes

Players most similar to Bruno Fernandes (Midfielder, €40.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Bruno Fernandes

  1. 1.Mateus Fernandes93% DNA match·West Ham United€32.0M
  2. 2.Casemiro87% DNA match·Manchester United€8.0M
  3. 3.Enzo Fernández87% DNA match·Chelsea€90.0M

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

RT

Intelligence Verdict

Key PassesTop 0%
???Bottom 4%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as an elite creator (3.9 key passes/90), a regular goalscorer (0.25 goals/90), a prolific assist provider (0.59 assists/90), creates high-quality scoring opportunities (0.90 big chances/90), penetrates with forward passing (10.4 final-third passes/90), central to possession (78 touches/90), switches play with precision (6.9 long balls/90, 61% accuracy), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league. The three most similar players to Bruno Fernandes by playing style are:

  • Mateus Fernandes(93% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), an aggressive ball-winner (3.1 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (56% duel success), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (62 touches/90), switches play with precision (5.3 long balls/90, 64% accuracy) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up.
  • Casemiro(87% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a regular goalscorer (0.36 goals/90), an aggressive ball-winner (3.2 tackles/90), penetrates with forward passing (8.4 final-third passes/90), central to possession (74 touches/90), uses long balls frequently (5.5/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Enzo Fernández(87% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.28 goals/90), meticulous in distribution (87% pass accuracy), penetrates with forward passing (8.5 final-third passes/90), central to possession (76 touches/90) and top 10% creator in the league.

Transfer Intelligence

Mateus Fernandes delivers 93% of the same playing style, at 20% lower cost (€32.0M vs €40.0M), with 1.07 key passes per 90 at age 21.

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

B
Comparison Base
Bruno Fernandes
MidfielderPortugal€40.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mateus Fernandes
West Ham United · Premier League
Portugal21yContract 2030
KP/901.07
G/900.10
Ball-WinnerDefensive
Last 5: → Stable
vs Fernandes: €8M cheaper · 10y younger
93% match
€32.0M
#2
C
Casemiro
Manchester United · Premier League
Brazil34yContract 2026
KP/901.22
G/900.36
Ball-WinnerDefensive
Last 5: → Stable
vs Fernandes: €32M cheaper · 3y older
87% match
€8.0M
#3
E
Enzo Fernández
Chelsea · Premier League
Argentina25yContract 2032
KP/901.99
G/900.28
CreatorCreative
Last 5: ↑ Hot
vs Fernandes: €50M more expensive · 6y younger
87% match
€90.0M
#4
B
Bruno Guimarães
Newcastle United · Premier League
Brazil28yContract 2028
KP/901.80
G/900.35
CreatorCreative
Last 5: → Stable
87% match
€75.0M
#5
B
Bernardo Silva  
Manchester City · Premier League
Portugal31yContract 2026
KP/901.54
G/900.07
CreatorCreative
Last 5: ↑ Hot
87% match
€27.0M
#6
E
Elliot Anderson
Nottingham Forest · Premier League
Scotland23yContract 2029
KP/901.50
G/900.11
MetronomeCreative
Last 5: ↓ Dip
85% match
€60.0M
#7
F
Fred
Fenerbahçe · Super Lig
Brazil33yContract 2027
KP/902.28
G/900.13
CreatorCreative
Last 5: ↑ Hot
85% match
€7.0M
#8
L
Lucas Paquetá
Flamengo · Premier League
Brazil28yContract 2027
KP/901.36
G/900.24
Creator
Last 5: → Stable
85% match
€35.0M
#9
A
André
Wolverhampton Wanderers · Premier League
Brazil24yContract 2029
KP/900.63
G/900.04
Ball-WinnerDefensive
Last 5: ↑ Hot
85% match
€22.0M
#10
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable
84% match
€100.0M
#11
A
Alex Scott
AFC Bournemouth · Premier League
England22yContract 2028
KP/900.88
G/900.10
Box-to-Box
Last 5: ↑ Hot
84% match
€40.0M
#12
M
Martin Ødegaard
Arsenal · Premier League
Norway27yContract 2028
KP/902.74
G/900.07
CreatorCreative
Last 5: → Stable
85% match
€65.0M

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 Bruno Fernandes.

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Frequently Asked Questions

Who are the best alternatives to Bruno Fernandes?
The top alternatives to Bruno Fernandes based on AI DNA playing style analysis include: Mateus Fernandes, Casemiro, Enzo Fernández, Bruno Guimarães, Bernardo Silva  . 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 Bruno Fernandes in 2026?
Players with a similar profile to Bruno Fernandes in 2026 include Mateus Fernandes (€32.0M), Casemiro (€8.0M), Enzo Fernández (€90.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Bruno Fernandes play and who plays similarly?
Bruno Fernandes plays as a Midfielder. Players with a comparable positional profile include Mateus Fernandes (Portugal, €32.0M); Casemiro (Brazil, €8.0M); Enzo Fernández (Argentina, €90.0M); Bruno Guimarães (Brazil, €75.0M).
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.