RisingTransfers
AI DNA Similarity

Best Alternatives to Bruno Guimarães

Players most similar to Bruno Guimarães (Midfielder, €75.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Bruno Guimarães

  1. 1.Joelinton88% DNA match·Newcastle United€30.0M
  2. 2.Sandro Tonali87% DNA match·Newcastle United€80.0M
  3. 3.Sean Longstaff88% DNA match·Leeds United€18.0M

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

RT

Intelligence Verdict

GoalsTop 6%
???Bottom 16%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a regular goalscorer (0.35 goals/90), a reliable supplier (0.20 assists/90), active in the tackle (2.2 tackles/90), meticulous in distribution (86% pass accuracy), central to possession (73 touches/90), draws fouls effectively (2.6/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 20% creator in the league. However, he loses possession under pressure (1.7 dispossessed/90). The three most similar players to Bruno Guimarães by playing style are:

  • Joelinton(88% match)A Box-to-Box. Statistically, he stands out as active in the tackle (2.0 tackles/90), heavily involved in play (55 touches/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up.
  • Sandro Tonali(87% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), penetrates with forward passing (9.0 final-third passes/90), central to possession (71 touches/90), uses long balls frequently (5.3/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.
  • Sean Longstaff(88% match)A Ball-Winner. Statistically, he stands out as an elite creator (2.3 key passes/90), a reliable supplier (0.18 assists/90), an aggressive ball-winner (3.5 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (58% duel success), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (59 touches/90), active off the ball (2.4 press score/90), contributing to defensive transitions, top 10% creator in the league and top 10% tackler in the league. However, he can be exposed in 1v1 situations.

Transfer Intelligence

Joelinton delivers 88% of the same playing style, at 60% lower cost (€30.0M vs €75.0M), with 0.78 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 →

B
Comparison Base
Bruno Guimarães
MidfielderBrazil€75.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Joelinton
Newcastle United · Premier League
Brazil29yContract 2028
KP/900.78
G/900.09
Box-to-Box
Last 5: ↓ Dip
vs Guimarães: €45M cheaper
88% match
€30.0M
#2
S
Sandro Tonali
Newcastle United · Premier League
Italy26yContract 2028
KP/901.12
G/900.00
Ball-Winner
Last 5: → Stable
vs Guimarães: 2y younger
87% match
€80.0M
#3
S
Sean Longstaff
Leeds United · Premier League
England28yContract 2029
KP/902.28
G/900.18
Ball-WinnerCreative
Last 5: ↑ Hot
vs Guimarães: €57M cheaper
88% match
€18.0M
#4
B
Bruno Fernandes
Manchester United · Premier League
Portugal31yContract 2027
KP/903.89
G/900.25
CreatorCreative
Last 5: → Stable
87% match
€40.0M
#5
J
João Neves
Paris Saint Germain · Ligue 1
Portugal21yContract 2029
KP/901.05
G/900.18
MetronomeSmall Sample
Last 5: → Stable
86% match
€110.0M
#6
T
Tijjani Reijnders
Manchester City · Premier League
Netherlands27yContract 2030
KP/901.04
G/900.29
Last 5: → Stable
85% match
€60.0M
#7
C
Casemiro
Manchester United · Premier League
Brazil34yContract 2026
KP/901.22
G/900.36
Ball-WinnerDefensive
Last 5: → Stable
85% match
€8.0M
#8
M
Mateus Fernandes
West Ham United · Premier League
Portugal21yContract 2030
KP/901.07
G/900.10
Ball-WinnerDefensive
Last 5: → Stable
85% match
€32.0M
#9
J
João Gomes
Wolverhampton Wanderers · Premier League
Brazil25yContract 2030
KP/900.53
G/900.03
Ball-WinnerDefensive
Last 5: → Stable
85% match
€35.0M
#10
J
James Garner
Everton · Premier League
England25yContract 2026
KP/901.48
G/900.06
Ball-WinnerDefensive
Last 5: → Stable
85% match
€35.0M
#11
R
Ryan Gravenberch
Liverpool · Premier League
Netherlands23yContract 2028
KP/900.85
G/900.16
Metronome
Last 5: → Stable
84% match
€90.0M
#12
M
Mikel Merino
Arsenal · Premier League
Spain29yContract 2028
KP/901.08
G/900.36
Ball-Winner
85% match
€30.0M

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 Guimarães.

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Frequently Asked Questions

Who are the best alternatives to Bruno Guimarães?
The top alternatives to Bruno Guimarães based on AI DNA playing style analysis include: Joelinton, Sandro Tonali, Sean Longstaff, Bruno Fernandes, João Neves. 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 Guimarães in 2026?
Players with a similar profile to Bruno Guimarães in 2026 include Joelinton (€30.0M), Sandro Tonali (€80.0M), Sean Longstaff (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Bruno Guimarães play and who plays similarly?
Bruno Guimarães plays as a Midfielder. Players with a comparable positional profile include Joelinton (Brazil, €30.0M); Sandro Tonali (Italy, €80.0M); Sean Longstaff (England, €18.0M); Bruno Fernandes (Portugal, €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.