RisingTransfers
AI DNA Similarity

Best Alternatives to Bernardo Silva  

Players most similar to Bernardo Silva   (Midfielder, €27.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Bernardo Silva  

  1. 1.Bruno Fernandes87% DNA match·Manchester United€40.0M
  2. 2.Manu Silva87% DNA match·Benfica€10.0M
  3. 3.Mateus Fernandes86% DNA match·West Ham United€32.0M

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

RT

Intelligence Verdict

Key PassesTop 16%

A Creator....

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Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.5 key passes/90), meticulous in distribution (90% pass accuracy), heavily involved in possession (68 passes/90), central to possession (82 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 20% creator in the league. The three most similar players to Bernardo Silva   by playing style are:

  • Bruno Fernandes(87% match)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.
  • Manu Silva(87% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.3 key passes/90), an aggressive ball-winner (2.8 tackles/90), wins the physical battle (56% duel success), creates high-quality scoring opportunities (1.33 big chances/90), central to possession (77 touches/90), strong in aerial duels (3.5 aerials won/90) and switches play with precision (8.6 long balls/90, 66% accuracy). Note: this profile is based on 678 minutes of playing time this season.
  • Mateus Fernandes(86% 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.

Transfer Intelligence

Bruno Fernandes delivers 87% of the same playing style, at a 48% premium over Bernardo Silva  , with 3.89 key passes per 90 at age 31.

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

B
Comparison Base
Bernardo Silva  
MidfielderPortugal€27.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
B
Bruno Fernandes
Manchester United · Premier League
Portugal31yContract 2027
KP/903.89
G/900.25
CreatorCreative
Last 5: → Stable
vs Silva  : €13M more expensive
87% match
€40.0M
#2
M
Manu Silva
Benfica · Liga Portugal
Portugal24yContract 2030
KP/901.38
G/900.13
Ball-WinnerDefensive
Last 5: ↑ Hot
vs Silva  : €17M cheaper · 7y younger
87% match
€10.0M
#3
M
Mateus Fernandes
West Ham United · Premier League
Portugal21yContract 2030
KP/901.07
G/900.10
Ball-WinnerDefensive
Last 5: → Stable
vs Silva  : 10y younger
86% match
€32.0M
#4
M
Mateo Kovacic 
Manchester City · Premier League
Croatia32yContract 2027
KP/901.25
G/900.25
MetronomeDefensive
Last 5: ↑ Hot
86% match
€15.0M
#5
P
Phil Foden
Manchester City · Premier League
England25yContract 2027
KP/902.25
G/900.34
CreatorCreative
Last 5: → Stable
85% match
€80.0M
#6
J
João Palhinha
Tottenham Hotspur · Premier League
Portugal30yContract 2026
KP/900.27
G/900.18
Ball-WinnerDefensive
Last 5: ↓ Dip
85% match
€25.0M
#7
D
Dani Silva
FC Midtjylland · Superliga
Portugal26yContract 2029
KP/901.19
G/900.00
Balanced MidfielderSmall Sample
85% match
€3.5M
#8
N
Nico González
Manchester City · Premier League
Spain24yContract 2029
KP/900.61
G/900.06
Metronome
Last 5: ↑ Hot
84% match
€45.0M
#9
A
André
Wolverhampton Wanderers · Premier League
Brazil24yContract 2029
KP/900.63
G/900.04
Ball-WinnerDefensive
Last 5: ↑ Hot
84% match
€22.0M
#10
B
Bruno Guimarães
Newcastle United · Premier League
Brazil28yContract 2028
KP/901.80
G/900.35
CreatorCreative
Last 5: → Stable
84% match
€75.0M
#11
V
Vitinha
Paris Saint Germain · Ligue 1
Portugal26yContract 2029
KP/901.56
G/900.38
MetronomeCreative
Last 5: → Stable
84% match
€110.0M
#12
É
Éderson
Atalanta · Serie A
Brazil26yContract 2027
KP/901.04
G/900.07
Metronome
Last 5: → Stable
84% match
€40.0M

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 Bernardo Silva  .

Ask AI about Bernardo Silva  

Frequently Asked Questions

Who are the best alternatives to Bernardo Silva  ?
The top alternatives to Bernardo Silva   based on AI DNA playing style analysis include: Bruno Fernandes, Manu Silva, Mateus Fernandes, Mateo Kovacic , Phil Foden. 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 Bernardo Silva   in 2026?
Players with a similar profile to Bernardo Silva   in 2026 include Bruno Fernandes (€40.0M), Manu Silva (€10.0M), Mateus Fernandes (€32.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Bernardo Silva   play and who plays similarly?
Bernardo Silva   plays as a Midfielder. Players with a comparable positional profile include Bruno Fernandes (Portugal, €40.0M); Manu Silva (Portugal, €10.0M); Mateus Fernandes (Portugal, €32.0M); Mateo Kovacic  (Croatia, €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.