AI DNA Similarity
Best Alternatives to Enzo Fernández
Players most similar to Enzo Fernández (Midfielder, €90.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Enzo Fernández
- 1.Ezequiel Fernández90% DNA match·Bayer 04 Leverkusen€25.0M
- 2.Bruno Fernandes87% DNA match·Manchester United€40.0M
- 3.Alexis Mac Allister86% DNA match·Liverpool€85.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Key PassesTop 7%
???Bottom 9%
“A Creator....”
See Full Verdict + Share Card →Playing Style Analysis
CreatorCreative
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. The three most similar players to Enzo Fernández by playing style are:
- Ezequiel Fernández(90% match) — 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.
- Bruno Fernandes(87% match) — A Creator. Statistically, he stands out as an elite creator (3.9 key passes/90), a regular goalscorer (0.25 goals/90), a prolific assist provider (0.59 assists/90), creates high-quality scoring opportunities (0.90 big chances/90), penetrates with forward passing (10.4 final-third passes/90), central to possession (78 touches/90), switches play with precision (6.9 long balls/90, 61% accuracy), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.
- Alexis Mac Allister(86% match) — A Balanced Midfielder. Statistically, he stands out as a capable chance creator (1.1 key passes/90), meticulous in distribution (87% pass accuracy) and heavily involved in play (63 touches/90).
Transfer Intelligence
Ezequiel Fernández delivers 90% of the same playing style, at 72% lower cost (€25.0M vs €90.0M), with 1.03 key passes per 90 at age 23.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
E
Ezequiel Fernández
Bayer 04 Leverkusen · Bundesliga
Argentina23yContract 2030
KP/901.03
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dipvs Fernández: €65M cheaper · 2y younger
90% match
€25.0M
#2
B
Bruno Fernandes
Manchester United · Premier League
Portugal31yContract 2027
KP/903.89
G/900.25
CreatorCreative
Last 5: → Stablevs Fernández: €50M cheaper · 6y older
87% match
€40.0M
#3
A
Alexis Mac Allister
Liverpool · Premier League
Argentina27yContract 2028
KP/901.12
G/900.07
Balanced Midfielder
Last 5: → Stablevs Fernández: 2y older
86% match
€85.0M
#4
R
Roméo Lavia
Chelsea · Premier League
Belgium22yContract 2030
KP/900.24
G/900.00
Box-to-BoxSmall Sample
Last 5: ↑ Hot87% match
€30.0M
#5
M
Moisés Caicedo
Chelsea · Premier League
Ecuador24yContract 2031
KP/900.58
G/900.10
Ball-WinnerDefensive
Last 5: → Stable86% match
€110.0M
#6
M
Mateus Fernandes
West Ham United · Premier League
Portugal21yContract 2030
KP/901.07
G/900.10
Ball-WinnerDefensive
Last 5: → Stable85% match
€32.0M
#7
N
Nico González
Manchester City · Premier League
Spain24yContract 2029
KP/900.61
G/900.06
Metronome
Last 5: ↑ Hot85% match
€45.0M
#8
M
Mateo Kovacic
Manchester City · Premier League
Croatia32yContract 2027
KP/901.25
G/900.25
MetronomeDefensive
Last 5: ↑ Hot85% match
€15.0M
#9
R
Rodrigo Bentancur
Tottenham Hotspur · Premier League
Uruguay28yContract 2026
KP/900.52
G/900.05
Ball-WinnerDefensive
Last 5: ↓ Dip85% match
€22.0M
#10
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable84% match
€100.0M
#11
C
Casemiro
Manchester United · Premier League
Brazil34yContract 2026
KP/901.22
G/900.36
Ball-WinnerDefensive
Last 5: → Stable84% match
€8.0M
#12
S
Sandro Tonali
Newcastle United · Premier League
Italy26yContract 2028
KP/901.12
G/900.00
Ball-Winner
Last 5: → Stable84% match
€80.0M
⬡
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 Enzo Fernández.
Ask AI about Enzo Fernández →Frequently Asked Questions
Who are the best alternatives to Enzo Fernández?▼
The top alternatives to Enzo Fernández based on AI DNA playing style analysis include: Ezequiel Fernández, Bruno Fernandes, Alexis Mac Allister, Roméo Lavia, Moisés Caicedo. 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 Enzo Fernández in 2026?▼
Players with a similar profile to Enzo Fernández in 2026 include Ezequiel Fernández (€25.0M), Bruno Fernandes (€40.0M), Alexis Mac Allister (€85.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Enzo Fernández play and who plays similarly?▼
Enzo Fernández plays as a Midfielder. Players with a comparable positional profile include Ezequiel Fernández (Argentina, €25.0M); Bruno Fernandes (Portugal, €40.0M); Alexis Mac Allister (Argentina, €85.0M); Roméo Lavia (Belgium, €30.0M).
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.