RisingTransfers
AI DNA Similarity

Best Alternatives to Eduardo

Players most similar to Eduardo (Defender, €1.2M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Eduardo

  1. 1.Carlos Augusto88% DNA match·Inter€26.0M
  2. 2.Nicolò Bertola86% DNA match·Udinese€6.0M
  3. 3.Mariano Troilo86% DNA match·Parma€6.0M

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

RT

Intelligence Verdict

InterceptionsTop 2%
???Bottom 20%

Eduardo is a statistical anomaly masquerading as a Tier-C defender...

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerialSmall Sample

Eduardo is a statistical anomaly masquerading as a Tier-C defender, operating with a level of composure and defensive efficiency that suggests he is currently trapped in the wrong tax bracket. Controlling the rhythm with 59.2 passes per 90, he sits comfortably in the league’s top 10% for volume and accuracy, yet his true value lies in a relentless 77.3% duel win rate—a figure that places him in the elite top 5% of Serie A. While his 2.30 interceptions per 90 highlight a predatory reading of the game, the counterintuitive reality is that his low press intensity (0.81/90) isn't laziness; it’s economy of movement. The three most similar players to Eduardo by playing style are:

  • Carlos Augusto(88% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, active in the tackle (2.5 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (65% duel success), central to possession (77 touches/90), dominant in the air (4.0 aerials won/90, 76%) and top 10% tackler in the league. Note: this profile is based on 653 minutes of playing time this season.
  • Nicolò Bertola(86% match)A Solid Defender. Statistically, he stands out as commanding in the air (4.4 clearances/90), uses long balls frequently (6.7/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Mariano Troilo(86% match)A Ball-Playing CB. Statistically, he stands out as comfortable with both feet, active in the tackle (2.2 tackles/90), commanding in the air (7.8 clearances/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (56% duel success) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 541 minutes of playing time this season.

Transfer Intelligence

Carlos Augusto delivers 88% of the same playing style, at a 2067% premium over Eduardo, with 2.48 tackles won per 90 at age 27.

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

E
Comparison Base
Eduardo
DefenderBrazil€1.2M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
C
Carlos Augusto
Inter · Serie A
Brazil27yContract 2028
Tkl/902.48
KP/900.83
Active Full-BackBall-Playing
Last 5: ↓ Dip
vs Eduardo: €25M more expensive
88% match
€26.0M
#2
N
Nicolò Bertola
Udinese · Serie A
Italy23yContract 2030
Tkl/901.78
KP/900.49
Solid DefenderAerial
vs Eduardo: 5y younger
86% match
€6.0M
#3
M
Mariano Troilo
Parma · Serie A
Argentina22yContract 2030
Tkl/902.16
KP/900.33
Ball-Playing CBAerial
vs Eduardo: 6y younger
86% match
€6.0M
#4
T
Tarik Muharemović
Sassuolo · Serie A
Bosnia and Herzegovina23yContract 2031
Tkl/901.36
KP/900.09
Ball-Playing CBAerial
Last 5: → Stable
86% match
€20.0M
#5
D
Diego Carlos
Como · Serie A
Brazil33yContract 2026
Tkl/901.47
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€8.5M
#6
D
Dodô
Fiorentina · Serie A
Brazil27yContract 2027
Tkl/900.91
KP/901.70
Active Full-Back
Last 5: → Stable
85% match
€18.0M
#7
E
Enrico Delprato
Parma · Serie A
Italy26yContract 2027
Tkl/900.96
KP/900.22
85% match
€6.0M
#8
G
Guillermo Maripán
Torino · Serie A
Chile32yContract 2026
Tkl/902.54
KP/900.65
Physical StopperAerial
85% match
€3.0M
#9
N
Nico Elvedi
Borussia Mönchengladbach · Bundesliga
Switzerland29yContract 2027
Tkl/901.70
KP/900.20
Ball-Playing CBAerial
85% match
€4.0M
#10
S
Saúl Coco
Torino · Serie A
Equatorial Guinea27yContract 2028
Tkl/901.73
KP/900.47
Ball-Playing CBAerial
85% match
€9.0M
#11
F
Fali Candé
Sassuolo · Serie A
Portugal28yContract 2029
Tkl/901.60
KP/900.18
Solid DefenderAerial
85% match
€3.0M
#12
L
Lloyd Kelly
Juventus · Serie A
England27yContract 2029
Tkl/901.77
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€20.0M

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 Eduardo.

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Frequently Asked Questions

Who are the best alternatives to Eduardo?
The top alternatives to Eduardo based on AI DNA playing style analysis include: Carlos Augusto, Nicolò Bertola, Mariano Troilo, Tarik Muharemović, Diego Carlos. 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 Eduardo in 2026?
Players with a similar profile to Eduardo in 2026 include Carlos Augusto (€26.0M), Nicolò Bertola (€6.0M), Mariano Troilo (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Eduardo play and who plays similarly?
Eduardo plays as a Defender. Players with a comparable positional profile include Carlos Augusto (Brazil, €26.0M); Nicolò Bertola (Italy, €6.0M); Mariano Troilo (Argentina, €6.0M); Tarik Muharemović (Bosnia and Herzegovina, €20.0M).
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.