RisingTransfers
AI DNA Similarity

Best Alternatives to Pêpê

Players most similar to Pêpê (Midfielder, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Pêpê

  1. 1.Pepelu87% DNA match·Valencia€9.0M
  2. 2.Vitinha85% DNA match·Paris Saint Germain€110.0M
  3. 3.Benjamin André86% DNA match·LOSC Lille€4.0M

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

RT

Intelligence Verdict

Key PassesTop 5%

Pêpê functions as the surgical metronome for a Tier C underdog...

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Playing Style Analysis

Pêpê functions as the surgical metronome for a Tier C underdog, operating with a technical precision that feels almost too refined for his surroundings. While his 32.7 passes per 90 might seem modest in a vacuum, his 84.6% accuracy places him in the top 5% of all Champions League midfielders, proving he is a high-reliability pivot who refuses to waste possession against elite opposition. He isn't just a safe recycler, however; ranking in the top 20% for key passes and goalscoring suggests a player with the composure to hurt teams when he ventures forward. The three most similar players to Pêpê by playing style are:

  • Pepelu(87% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.7 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (61% duel success), penetrates with forward passing (9.4 final-third passes/90), central to possession (72 touches/90), uses long balls frequently (7.2/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.
  • Vitinha(85% match)A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), a prolific assist provider (0.35 assists/90), meticulous in distribution (94% pass accuracy), heavily involved in possession (117 passes/90), penetrates with forward passing (17.6 final-third passes/90), central to possession (127 touches/90), switches play with precision (8.7 long balls/90, 76% accuracy) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up.
  • Benjamin André(86% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), an aggressive ball-winner (2.6 tackles/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (59% duel success), heavily involved in play (68 touches/90), draws fouls effectively (2.1/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. However, he loses possession under pressure (1.6 dispossessed/90).

Transfer Intelligence

Pepelu delivers 87% of the same playing style, at a 200% premium over Pêpê, with 0.88 key passes per 90 at age 27.

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

P
Comparison Base
Pêpê
MidfielderPortugal€3.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
P
Pepelu
Valencia · La Liga
Spain27yContract 2028
KP/900.88
G/900.10
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Pêpê: €6M more expensive
87% match
€9.0M
#2
V
Vitinha
Paris Saint Germain · Ligue 1
Portugal26yContract 2029
KP/901.56
G/900.38
MetronomeCreative
Last 5: → Stable
vs Pêpê: €107M more expensive · 2y younger
85% match
€110.0M
#3
B
Benjamin André
LOSC Lille · Ligue 1
France35yContract 2026
KP/901.00
G/900.13
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Pêpê: 7y older
86% match
€4.0M
#4
É
Éderson
Atalanta · Serie A
Brazil26yContract 2027
KP/901.04
G/900.07
Metronome
Last 5: → Stable
84% match
€40.0M
#5
A
André
Wolverhampton Wanderers · Premier League
Brazil24yContract 2029
KP/900.63
G/900.04
Ball-WinnerDefensive
Last 5: ↑ Hot
84% match
€22.0M
#6
A
Aurélien Tchouaméni
Real Madrid · La Liga
France26yContract 2028
KP/900.70
G/900.06
Metronome
Last 5: ↓ Dip
84% match
€75.0M
#7
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
84% match
€25.0M
#8
V
Vítor Carvalho
Sporting Braga · Liga Portugal
Brazil28yContract 2028
KP/900.42
G/900.17
Metronome
Last 5: ↓ Dip
84% match
€4.0M
#9
S
Stephen Eustaquio
Los Angeles FC · Liga Portugal
Canada29yContract 2027
KP/900.84
G/900.21
Metronome
Last 5: ↓ Dip
83% match
€7.0M
#10
J
João Neves
Paris Saint Germain · Ligue 1
Portugal21yContract 2029
KP/901.05
G/900.18
MetronomeSmall Sample
Last 5: → Stable
84% match
€110.0M
#11
V
Valentin Rongier  
Rennes · Ligue 1
France31yContract 2028
KP/901.08
G/900.08
Metronome
Last 5: ↓ Dip
83% match
€9.0M
#12
M
Máximo Perrone
Como · Serie A
Argentina23yContract 2029
KP/900.93
G/900.17
Metronome
Last 5: → Stable
84% match
€25.0M

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 Pêpê.

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Frequently Asked Questions

Who are the best alternatives to Pêpê?
The top alternatives to Pêpê based on AI DNA playing style analysis include: Pepelu, Vitinha, Benjamin André, Éderson, André. 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 Pêpê in 2026?
Players with a similar profile to Pêpê in 2026 include Pepelu (€9.0M), Vitinha (€110.0M), Benjamin André (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Pêpê play and who plays similarly?
Pêpê plays as a Midfielder. Players with a comparable positional profile include Pepelu (Spain, €9.0M); Vitinha (Portugal, €110.0M); Benjamin André (France, €4.0M); Éderson (Brazil, €40.0M).
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.