RisingTransfers
AI DNA Similarity

Best Alternatives to Lucas Evangelista

Players most similar to Lucas Evangelista (Midfielder, €4.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Lucas Evangelista

  1. 1.Maximilian Eggestein86% DNA match·SC Freiburg€10.0M
  2. 2.Michel Aebischer85% DNA match·Pisa€4.0M
  3. 3.Gianluca Gaetano85% DNA match·Cagliari€4.0M

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

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Intelligence Verdict

Dribbled PastTop 0%
???Bottom 0%

Evangelista is the tactical glue for a struggling side...

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Playing Style Analysis

Box-to-BoxDefensive

Evangelista is the tactical glue for a struggling side, operating as a high-volume progressor who blends blue-collar defensive grit with the vision of a genuine playmaker. While his raw volume of aerial wins per ninety looks pedestrian, the counterintuitive reality is found in his efficiency; a 60% aerial win rate places him in the league’s top 10%, proving he is elite at picking his battles even if he isn't a constant target man. He dominates the middle third, ranking in the top decile for tackles won (1.67/90) while simultaneously serving as the team's primary creative outlet with 7.22 passes into the final third—a top 20% output. The three most similar players to Lucas Evangelista by playing style are:

  • Maximilian Eggestein(86% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.0 tackles/90), wins the physical battle (58% duel success), heavily involved in play (61 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 630 minutes of playing time this season.
  • Michel Aebischer(85% match)A Balanced Midfielder. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (1.8 tackles/90), penetrates with forward passing (8.8 final-third passes/90), heavily involved in play (62 touches/90), uses long balls frequently (7.7/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.
  • Gianluca Gaetano(85% match)A Box-to-Box. Statistically, he stands out as an elite creator (1.8 key passes/90), a prolific assist provider (0.26 assists/90), penetrates with forward passing (8.3 final-third passes/90), heavily involved in play (65 touches/90), uses long balls frequently (5.6/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 20% creator in the league.

Transfer Intelligence

Maximilian Eggestein delivers 86% of the same playing style, at a 150% premium over Lucas Evangelista, with 0.56 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 →

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Comparison Base
Lucas Evangelista
MidfielderBrazil€4.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Maximilian Eggestein
SC Freiburg · Bundesliga
Germany29y
KP/900.56
G/900.16
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Evangelista: €6M more expensive · 2y younger
86% match
€10.0M
#2
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
vs Evangelista: 2y younger
85% match
€4.0M
#3
G
Gianluca Gaetano
Cagliari · Serie A
Italy26yContract 2029
KP/901.83
G/900.17
Box-to-BoxCreative
Last 5: ↓ Dip
vs Evangelista: 5y younger
85% match
€4.0M
#4
J
Jari Vandeputte
Cremonese · Serie A
Belgium30y
KP/903.00
G/900.00
CreatorCreative
83% match
€3.3M
#5
L
Lorenzo Bernasconi
Atalanta · Serie A
Italy22yContract 2028
KP/901.25
G/900.00
Creative Playmaker
Last 5: ↑ Hot
84% match
€4.0M
#6
N
Nicolás Capaldo
Hamburger SV · Bundesliga
Argentina27yContract 2028
KP/901.26
G/900.00
Ball-WinnerDefensive
84% match
€4.0M
#7
Y
Yannik Engelhardt
Borussia Mönchengladbach · Bundesliga
Germany25yContract 2026
KP/900.40
G/900.20
Box-to-BoxSmall Sample
84% match
€6.0M
#8
A
Amir Richardson
FC København · Serie A
France24yContract 2026
KP/900.65
G/900.09
Box-to-BoxDefensive
Last 5: ↓ Dip
83% match
€9.0M
#9
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
83% match
€7.2M
#10
J
Jurgen Ekkelenkamp
Udinese · Serie A
Netherlands26yContract 2029
KP/901.41
G/900.19
Creator
Last 5: → Stable
83% match
€7.0M
#11
T
Tanner Tessmann
Olympique Lyonnais · Ligue 1
United States24yContract 2029
KP/901.02
G/900.00
Box-to-BoxSmall Sample
Last 5: → Stable
83% match
€12.0M
#12
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Luis Engelns
TSG Hoffenheim · Bundesliga
Germany19yContract 2026
KP/900.63
G/900.21
Ball-WinnerSmall Sample
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 Lucas Evangelista.

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Frequently Asked Questions

Who are the best alternatives to Lucas Evangelista?
The top alternatives to Lucas Evangelista based on AI DNA playing style analysis include: Maximilian Eggestein, Michel Aebischer, Gianluca Gaetano, Jari Vandeputte, Lorenzo Bernasconi. 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 Lucas Evangelista in 2026?
Players with a similar profile to Lucas Evangelista in 2026 include Maximilian Eggestein (€10.0M), Michel Aebischer (€4.0M), Gianluca Gaetano (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Lucas Evangelista play and who plays similarly?
Lucas Evangelista plays as a Midfielder. Players with a comparable positional profile include Maximilian Eggestein (Germany, €10.0M); Michel Aebischer (Switzerland, €4.0M); Gianluca Gaetano (Italy, €4.0M); Jari Vandeputte (Belgium, €3.3M).
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.