RisingTransfers
AI DNA Similarity

Best Alternatives to Fabinho

Players most similar to Fabinho (Midfielder, €2.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Fabinho

  1. 1.Mandela Keita84% DNA match·Parma€12.0M
  2. 2.Fabián Ruiz84% DNA match·Paris Saint Germain€40.0M
  3. 3.Aurélien Tchouaméni84% DNA match·Real Madrid€75.0M

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

RT

Intelligence Verdict

InterceptionsTop 11%
???Bottom 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-Box

A Box-to-Box. Statistically, he stands out as active in the tackle (2.1 tackles/90), heavily involved in play (60 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. The three most similar players to Fabinho by playing style are:

  • Mandela Keita(84% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (65% duel success), wins the ball cleanly (1.8 successful tackles/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Fabián Ruiz(84% match)A Metronome. Statistically, he stands out as naturally left-footed, an elite creator (2.0 key passes/90), a prolific assist provider (0.27 assists/90), meticulous in distribution (93% pass accuracy), wins the physical battle (68% duel success), heavily involved in possession (102 passes/90), penetrates with forward passing (17.3 final-third passes/90), central to possession (114 touches/90), switches play with precision (6.9 long balls/90, 76% accuracy), active off the ball (2.0 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 661 minutes of playing time this season.
  • Aurélien Tchouaméni(84% match)A Metronome. Statistically, he stands out as active in the tackle (2.3 tackles/90), reads the game exceptionally (1.7 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (69% duel success), heavily involved in possession (69 passes/90), penetrates with forward passing (9.5 final-third passes/90), central to possession (81 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.

Transfer Intelligence

Mandela Keita delivers 84% of the same playing style, at a 380% premium over Fabinho, with 0.34 key passes per 90 at age 24.

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

F
Comparison Base
Fabinho
MidfielderBrazil€2.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mandela Keita
Parma · Serie A
Belgium24yContract 2029
KP/900.34
G/900.07
Ball-WinnerDefensive
vs Fabinho: €10M more expensive
84% match
€12.0M
#2
F
Fabián Ruiz
Paris Saint Germain · Ligue 1
Spain30yContract 2027
KP/902.04
G/900.14
MetronomeCreative
Last 5: → Stable
vs Fabinho: €38M more expensive · 6y older
84% match
€40.0M
#3
A
Aurélien Tchouaméni
Real Madrid · La Liga
France26yContract 2028
KP/900.70
G/900.06
Metronome
Last 5: ↓ Dip
vs Fabinho: €73M more expensive · 2y older
84% match
€75.0M
#4
D
Diego Gómez
Brighton & Hove Albion · Premier League
Paraguay23y
KP/900.92
G/900.22
Ball-WinnerDefensive
Last 5: ↓ Dip
83% match
€25.0M
#5
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
83% match
€25.0M
#6
A
Aleix Febas
Elche · La Liga
Spain30yContract 2026
KP/900.61
G/900.08
Metronome
Last 5: → Stable
83% match
€5.0M
#7
M
Maximilian Arnold
VfL Wolfsburg · Bundesliga
Germany31yContract 2026
KP/901.22
G/900.00
CreatorSmall Sample
84% match
€4.5M
#8
M
Marten de Roon
Atalanta · Serie A
Netherlands35yContract 2026
KP/900.81
G/900.05
Chance Creator
Last 5: ↓ Dip
84% match
€3.5M
#9
M
Marcel Sabitzer
Borussia Dortmund · Bundesliga
Austria32yContract 2027
KP/900.97
G/900.24
84% match
€7.0M
#10
B
Bryan Cristante
Roma · Serie A
Italy31yContract 2027
KP/900.88
G/900.05
Metronome
Last 5: ↓ Dip
83% match
€7.0M
#11
R
Robin Fellhauer
FC Augsburg · Bundesliga
Germany28yContract 2029
KP/900.68
G/900.10
Box-to-BoxSmall Sample
83% match
€3.0M
#12
L
Luka Modrić
AC Milan · Serie A
Croatia40yContract 2026
KP/901.48
G/900.00
MetronomeSmall Sample
Last 5: → Stable
83% match
€4.0M

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 Fabinho.

Ask AI about Fabinho

Frequently Asked Questions

Who are the best alternatives to Fabinho?
The top alternatives to Fabinho based on AI DNA playing style analysis include: Mandela Keita, Fabián Ruiz, Aurélien Tchouaméni, Diego Gómez, Manuel Locatelli. 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 Fabinho in 2026?
Players with a similar profile to Fabinho in 2026 include Mandela Keita (€12.0M), Fabián Ruiz (€40.0M), Aurélien Tchouaméni (€75.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Fabinho play and who plays similarly?
Fabinho plays as a Midfielder. Players with a comparable positional profile include Mandela Keita (Belgium, €12.0M); Fabián Ruiz (Spain, €40.0M); Aurélien Tchouaméni (France, €75.0M); Diego Gómez (Paraguay, €25.0M).
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.