AI DNA Similarity
Best Alternatives to Ença Fati
Players most similar to Ença Fati (Attacker, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Ença Fati
- 1.Eren Dinkçi84% DNA match·Heidenheim€6.0M
- 2.Ansu Fati84% DNA match·Monaco€10.0M
- 3.Roger Martí83% DNA match·Cádiz€3.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
AssistsTop 14%
???Bottom 0%
“Ença Fati is a Forward....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
Ença Fati is a Forward. Versatile attacking option. Statistically, he stands out as a prolific assist provider (0.26 assists/90). (Limited sample: 348 mins) The three most similar players to Ença Fati by playing style are:
- Eren Dinkçi(84% match) — A Forward. Statistically, he stands out as an elite creator (1.7 key passes/90), a reliable supplier (0.23 assists/90) and creates high-quality scoring opportunities (1.43 big chances/90).
- Ansu Fati(84% match) — A Inside Forward. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a constant goal threat (3.6 shots/90), a proven goalscorer (0.88 goals/90) and top 10% scorer in the league.
- Roger Martí(83% match) — A Forward. Statistically, he stands out as a capable chance creator (1.4 key passes/90). Note: this profile is based on 657 minutes of playing time this season.
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
Eren Dinkçi
Heidenheim · Bundesliga
Germany24yContract 2026
G/900.36
A/900.71
vs Fati: 8y younger
84% match
€6.0M
#2
A
Ansu Fati
Monaco · Ligue 1
Spain23yContract 2026
G/901.72
A/900.00
Inside ForwardProlific
vs Fati: 9y younger
84% match
€10.0M
#3
R
Roger Martí
Cádiz · La Liga
Spain35y
G/900.21
A/900.00
Small Sample
Last 5: ↓ Dipvs Fati: 3y older
83% match
€3.0M
#4
R
Raheem Sterling
Feyenoord · Premier League
England31y
G/900.00
A/900.26
Small Sample
82% match
€5.0M
#5
W
Wilfried Gnonto
Leeds United · Premier League
Italy22yContract 2028
G/900.00
A/900.19
82% match
€20.0M
#6
G
Gavin Vlijter
De Treffers · Eredivisie
Netherlands29y
G/900.18
A/900.30
82% match
N/A
#7
M
Muhamet Hyseni
Horsens · Superliga
Kosovo25y
G/900.00
A/900.26
Small Sample
83% match
N/A
#8
D
Dennis Chessa
Ulm · Bundesliga
Germany33yContract 2026
G/900.00
A/900.28
82% match
N/A
#9
E
Enzo Stroo
Lisse · Eredivisie
Netherlands31y
G/900.00
A/900.22
Small Sample
83% match
N/A
#10
J
Jeffrey Adjei-Broni
Hvidovre · Superliga
Denmark22y
G/900.00
A/900.00
82% match
N/A
#11
G
Göktan Gürpüz
Gençlerbirliği · Super Lig
Turkey23y
G/900.00
A/900.28
Dynamic ForwardDribbler
82% match
N/A
#12
M
Martijn Berden
GVVV · Eredivisie
Netherlands28y
G/900.00
A/900.34
Small Sample
82% match
N/A
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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 Ença Fati.
Ask AI about Ença Fati →Frequently Asked Questions
Who are the best alternatives to Ença Fati?▼
The top alternatives to Ença Fati based on AI DNA playing style analysis include: Eren Dinkçi, Ansu Fati, Roger Martí, Raheem Sterling, Wilfried Gnonto. 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 Ença Fati in 2026?▼
Players with a similar profile to Ença Fati in 2026 include Eren Dinkçi (€6.0M), Ansu Fati (€10.0M), Roger Martí (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ença Fati play and who plays similarly?▼
Ença Fati plays as a Attacker. Players with a comparable positional profile include Eren Dinkçi (Germany, €6.0M); Ansu Fati (Spain, €10.0M); Roger Martí (Spain, €3.0M); Raheem Sterling (England, €5.0M).
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.