RisingTransfers
AI DNA Similarity

Best Alternatives to Ezequiel Fernández

Players most similar to Ezequiel Fernández (Midfielder, €25.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Ezequiel Fernández

  1. 1.Enzo Fernández90% DNA match·Chelsea€90.0M
  2. 2.Aleix García88% DNA match·Bayer 04 Leverkusen€20.0M
  3. 3.Romano Schmid86% DNA match·Werder Bremen€17.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 15%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-WinnerDefensive

A Ball-Winner. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (75 passes/90), central to possession (93 touches/90), draws fouls effectively (2.2/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league. The three most similar players to Ezequiel Fernández by playing style are:

  • Enzo Fernández(90% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.28 goals/90), meticulous in distribution (87% pass accuracy), penetrates with forward passing (8.5 final-third passes/90), central to possession (76 touches/90) and top 10% creator in the league.
  • Aleix García(88% match)A Metronome. Statistically, he stands out as meticulous in distribution (92% pass accuracy), wins the physical battle (64% duel success), heavily involved in possession (98 passes/90), penetrates with forward passing (10.8 final-third passes/90), central to possession (108 touches/90) and switches play with precision (7.1 long balls/90, 69% accuracy). Note: this profile is based on 610 minutes of playing time this season.
  • Romano Schmid(86% match)A Creator. Statistically, he stands out as an elite creator (2.4 key passes/90), a prolific assist provider (0.46 assists/90), creates high-quality scoring opportunities (0.65 big chances/90), heavily involved in play (68 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (2.4 dispossessed/90).

Transfer Intelligence

Enzo Fernández delivers 90% of the same playing style, at a 260% premium over Ezequiel Fernández, with 1.99 key passes per 90 at age 25.

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

E
Comparison Base
Ezequiel Fernández
MidfielderArgentina€25.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
E
Enzo Fernández
Chelsea · Premier League
Argentina25yContract 2032
KP/901.99
G/900.28
CreatorCreative
Last 5: ↑ Hot
vs Fernández: €65M more expensive · 2y older
90% match
€90.0M
#2
A
Aleix García
Bayer 04 Leverkusen · Bundesliga
Spain28yContract 2026
KP/900.72
G/900.18
MetronomeSmall Sample
Last 5: ↑ Hot
vs Fernández: 5y older
88% match
€20.0M
#3
R
Romano Schmid
Werder Bremen · Bundesliga
Austria26yContract 2025
KP/902.69
G/900.08
CreatorCreative
vs Fernández: €8M cheaper · 3y older
86% match
€17.0M
#4
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable
86% match
€100.0M
#5
T
Tom Bischof
FC Bayern München · Bundesliga
Germany20yContract 2029
KP/901.01
G/900.00
CreatorCreative
Last 5: ↑ Hot
86% match
€40.0M
#6
X
Xaver Schlager
RB Leipzig · Bundesliga
Austria28yContract 2026
KP/900.92
G/900.18
Box-to-Box
Last 5: ↑ Hot
86% match
€10.0M
#7
A
Aleksandar Pavlovic
FC Bayern München · Bundesliga
Germany22yContract 2029
KP/901.30
G/900.08
Metronome
Last 5: → Stable
86% match
€75.0M
#8
M
Marcel Sabitzer
Borussia Dortmund · Bundesliga
Austria32yContract 2027
KP/900.97
G/900.24
86% match
€7.0M
#9
C
Christoph Baumgartner
RB Leipzig · Bundesliga
Austria26yContract 2028
KP/901.38
G/900.55
CreatorCreative
Last 5: ↓ Dip
86% match
€20.0M
#10
C
Cameron Puertas
Werder Bremen · Bundesliga
Spain27yContract 2026
KP/901.54
G/900.00
Box-to-BoxDefensive
86% match
€10.0M
#11
N
Nicolai Remberg
Hamburger SV · Bundesliga
Germany25yContract 2028
KP/900.67
G/900.00
Box-to-BoxSmall Sample
86% match
€5.0M
#12
A
Angelo Stiller
VfB Stuttgart · Bundesliga
Germany25yContract 2028
KP/902.53
G/900.00
MetronomeCreative
Last 5: → Stable
86% match
€45.0M

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 Ezequiel Fernández.

Ask AI about Ezequiel Fernández

Frequently Asked Questions

Who are the best alternatives to Ezequiel Fernández?
The top alternatives to Ezequiel Fernández based on AI DNA playing style analysis include: Enzo Fernández, Aleix García, Romano Schmid, Dominik Szoboszlai, Tom Bischof. 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 Ezequiel Fernández in 2026?
Players with a similar profile to Ezequiel Fernández in 2026 include Enzo Fernández (€90.0M), Aleix García (€20.0M), Romano Schmid (€17.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ezequiel Fernández play and who plays similarly?
Ezequiel Fernández plays as a Midfielder. Players with a comparable positional profile include Enzo Fernández (Argentina, €90.0M); Aleix García (Spain, €20.0M); Romano Schmid (Austria, €17.0M); Dominik Szoboszlai (Hungary, €100.0M).
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.