RisingTransfers
AI DNA Similarity

Best Alternatives to Matheus Pereira

Players most similar to Matheus Pereira (Midfielder, €14.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Matheus Pereira

  1. 1.Lorenzo Pellegrini87% DNA match·Roma€9.0M
  2. 2.Bruno Fernandes85% DNA match·Manchester United€40.0M
  3. 3.Diego Rodrigues85% DNA match·Sporting Braga€4.5M

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

RT

Intelligence Verdict

Key PassesTop 1%

A Creator....

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Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as naturally left-footed, an elite creator (3.5 key passes/90), a constant goal threat (2.5 shots/90), a reliable supplier (0.16 assists/90), heavily involved in play (63 touches/90), draws fouls effectively (3.8/90) and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90). The three most similar players to Matheus Pereira by playing style are:

  • Lorenzo Pellegrini(87% match)Pellegrini remains one of Serie A's most frustrating paradoxes: a midfielder who consistently breaks into the top 20% for both key passes and shots per 90, yet somehow still divides opinion at the highest level. His 1.71 key passes and 0.21 goals per 90 aren't volume illusions—they reflect a genuine capacity to hurt teams in ways most central midfielders simply can't. Here's the counterintuitive part: his below-average pass accuracy of 76.8% likely reflects ambition rather than sloppiness—he's attempting the difficult ball, the penetrating pass into the final third where he ranks in the top 30%.
  • Bruno Fernandes(85% 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.
  • Diego Rodrigues(85% match)A Box-to-Box. Statistically, he stands out as an elite creator (2.0 key passes/90), a reliable supplier (0.21 assists/90), active in the tackle (2.0 tackles/90), meticulous in distribution (90% pass accuracy), central to possession (70 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league. Note: this profile is based on 848 minutes of playing time this season.

Transfer Intelligence

Lorenzo Pellegrini delivers 87% of the same playing style, at 36% lower cost (€9.0M vs €14.0M), with 1.65 key passes per 90 at age 29.

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

M
Comparison Base
Matheus Pereira
MidfielderBrazil€14.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
L
Lorenzo Pellegrini
Roma · Serie A
Italy29yContract 2026
KP/901.65
G/900.19
Creative Playmaker
Last 5: ↑ Hot
87% match
€9.0M
#2
B
Bruno Fernandes
Manchester United · Premier League
Portugal31yContract 2027
KP/903.89
G/900.25
CreatorCreative
Last 5: → Stable
vs Pereira: €26M more expensive
85% match
€40.0M
#3
D
Diego Rodrigues
Sporting Braga · Liga Portugal
Portugal20yContract 2027
KP/902.02
G/900.11
Box-to-BoxCreative
Last 5: → Stable
vs Pereira: €10M cheaper · 10y younger
85% match
€4.5M
#4
L
Luis Henrique
Inter · Serie A
Brazil24yContract 2030
KP/901.31
G/900.00
Creator
Last 5: → Stable
85% match
€23.0M
#5
C
Cristian Volpato
Sassuolo · Serie A
Italy22yContract 2028
KP/901.88
G/900.00
CreatorCreative
85% match
€10.0M
#6
N
Nicolò Zaniolo
Udinese · Serie A
Italy26yContract 2026
KP/902.74
G/900.20
CreatorCreative
Last 5: ↑ Hot
84% match
€13.0M
#7
A
Adrián Bernabé
Parma · Serie A
Spain24yContract 2027
KP/902.16
G/900.08
CreatorCreative
84% match
€15.0M
#8
É
Éderson
Atalanta · Serie A
Brazil26yContract 2027
KP/901.04
G/900.07
Metronome
Last 5: → Stable
84% match
€40.0M
#9
C
Charles De Ketelaere
Atalanta · Serie A
Belgium25yContract 2028
KP/902.53
G/900.06
CreatorCreative
Last 5: → Stable
84% match
€35.0M
#10
S
Simone Pafundi
Udinese · Serie A
Italy20yContract 2026
KP/902.55
G/900.23
CreatorCreative
Last 5: ↓ Dip
84% match
€5.0M
#11
G
Gonçalo Moreira
Benfica · Liga Portugal
Portugal20yContract 2029
KP/900.00
G/901.15
CreatorCreative
84% match
€5.0M
#12
L
Lucas Paquetá
Flamengo · Premier League
Brazil28yContract 2027
KP/901.36
G/900.24
Creator
Last 5: → Stable
83% match
€35.0M

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 Matheus Pereira.

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Frequently Asked Questions

Who are the best alternatives to Matheus Pereira?
The top alternatives to Matheus Pereira based on AI DNA playing style analysis include: Lorenzo Pellegrini, Bruno Fernandes, Diego Rodrigues, Luis Henrique, Cristian Volpato. 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 Matheus Pereira in 2026?
Players with a similar profile to Matheus Pereira in 2026 include Lorenzo Pellegrini (€9.0M), Bruno Fernandes (€40.0M), Diego Rodrigues (€4.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Matheus Pereira play and who plays similarly?
Matheus Pereira plays as a Midfielder. Players with a comparable positional profile include Lorenzo Pellegrini (Italy, €9.0M); Bruno Fernandes (Portugal, €40.0M); Diego Rodrigues (Portugal, €4.5M); Luis Henrique (Brazil, €23.0M).
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.