RisingTransfers
AI DNA Similarity

Best Alternatives to Ansu Fati

Players most similar to Ansu Fati (Attacker, €10.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Ansu Fati

  1. 1.Ousmane Dembélé86% DNA match·Paris Saint Germain€100.0M
  2. 2.Mason Greenwood85% DNA match·Olympique Marseille€55.0M
  3. 3.Lamine Yamal85% DNA match·FC Barcelona€200.0M

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

RT

Intelligence Verdict

GoalsTop 0%
???Bottom 0%

A Inside Forward....

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Playing Style Analysis

Inside ForwardProlific

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. The three most similar players to Ansu Fati by playing style are:

  • Ousmane Dembélé(86% match)A Dynamic Forward. Statistically, he stands out as comfortable with both feet, an elite creator (3.7 key passes/90), a constant goal threat (3.4 shots/90), a proven goalscorer (1.24 goals/90), a prolific assist provider (0.53 assists/90), a dynamic dribbler (2.5/90), wins the physical battle (57% duel success), creates high-quality scoring opportunities (0.53 big chances/90), penetrates with forward passing (9.1 final-third passes/90), central to possession (83 touches/90) and top 10% scorer in the league. Note: this profile is based on 507 minutes of playing time this season.
  • Mason Greenwood(85% match)A Inside Forward. Statistically, he stands out as comfortable with both feet, an elite creator (2.2 key passes/90), a constant goal threat (3.9 shots/90), a proven goalscorer (0.91 goals/90), a prolific assist provider (0.34 assists/90), meticulous in distribution (85% pass accuracy), creates high-quality scoring opportunities (0.57 big chances/90) and top 10% scorer in the league. Note: this profile is based on 787 minutes of playing time this season.
  • Lamine Yamal(85% match)Yamal is what happens when a teenager refuses to read the script about what teenagers are supposed to be. At 16, he is operating in the top 5% of La Liga attackers for key passes, dribbles, shots, and passes into the final third simultaneously—a combination that belongs to a seasoned elite winger, not someone still in school. His 2.81 key passes per 90 tells the obvious story, but the counterintuitive one lives in his 54.4 passes per 90: this isn't a flashy dribbler who disappears from build-up—he's the connective tissue of Barcelona's attack.

Transfer Intelligence

Ousmane Dembélé delivers 86% of the same playing style, at a 900% premium over Ansu Fati, with 0.85 goals per 90 at age 28. That's 50% of Ansu Fati's output in goals per 90 — a credible like-for-like option.

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

A
Comparison Base
Ansu Fati
AttackerSpain€10.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
O
Ousmane Dembélé
Paris Saint Germain · Ligue 1
France28yContract 2028
G/900.85
A/900.24
Dynamic ForwardProlific
Last 5: ↑ Hot
vs Fati: €90M more expensive · 5y older · -0.87 G/90
86% match
€100.0M
#2
M
Mason Greenwood
Olympique Marseille · Ligue 1
England24yContract 2029
G/900.92
A/900.34
Inside ForwardProlific
vs Fati: €45M more expensive · -0.80 G/90
85% match
€55.0M
#3
L
Lamine Yamal
FC Barcelona · La Liga
Spain18yContract 2031
G/900.64
A/900.42
Inside ForwardProlific
Last 5: → Stable
vs Fati: €190M more expensive · 5y younger · -1.08 G/90
85% match
€200.0M
#4
F
Ferran Torres
FC Barcelona · La Liga
Spain26yContract 2027
G/900.88
A/900.07
PoacherProlific
Last 5: → Stable
85% match
€50.0M
#5
A
Antony
Real Betis · La Liga
Brazil26yContract 2030
G/900.36
A/900.25
Inside Forward
Last 5: ↑ Hot
85% match
€95.0M
#6
M
Mama Baldé
Brest · Ligue 1
Guinea-Bissau30yContract 2027
G/900.00
A/900.65
Target ManSmall Sample
85% match
€3.5M
#7
E
Ença Fati
Al Jubail · Liga Portugal
Guinea-Bissau32y
G/900.00
A/900.26
Small Sample
84% match
N/A
#8
F
Francisco Trincão
Sporting CP · Liga Portugal
Portugal26yContract 2027
G/900.23
A/900.36
Complete Forward
Last 5: → Stable
83% match
€35.0M
#9
M
Matías Fernández-Pardo
LOSC Lille · Ligue 1
Belgium21yContract 2029
G/900.16
A/900.00
Small Sample
Last 5: ↑ Hot
84% match
€10.0M
#10
P
Pierre-Emerick Aubameyang
Olympique Marseille · Ligue 1
Gabon36yContract 2027
G/900.46
A/900.76
Complete ForwardProlific
84% match
€12.0M
#11
G
Gessime Yassine
Strasbourg · Ligue 1
France20yContract 2027
G/900.31
A/900.62
Dynamic ForwardDribbler
Last 5: ↓ Dip
84% match
€6.0M
#12
E
Endrick
Olympique Lyonnais · Ligue 1
Brazil19yContract 2026
G/900.22
A/900.45
Dynamic ForwardProlific
Last 5: → Stable
83% match
€25.0M

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 Ansu Fati.

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Frequently Asked Questions

Who are the best alternatives to Ansu Fati?
The top alternatives to Ansu Fati based on AI DNA playing style analysis include: Ousmane Dembélé, Mason Greenwood, Lamine Yamal, Ferran Torres, Antony. 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 Ansu Fati in 2026?
Players with a similar profile to Ansu Fati in 2026 include Ousmane Dembélé (€100.0M), Mason Greenwood (€55.0M), Lamine Yamal (€200.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ansu Fati play and who plays similarly?
Ansu Fati plays as a Attacker. Players with a comparable positional profile include Ousmane Dembélé (France, €100.0M); Mason Greenwood (England, €55.0M); Lamine Yamal (Spain, €200.0M); Ferran Torres (Spain, €50.0M).
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.