AI DNA Similarity
Best Alternatives to Stefano Lilipaly
Players most similar to Stefano Lilipaly (Attacker, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Stefano Lilipaly
- 1.Bryan Limbombe96% DNA match·Heracles Almelo
- 2.Jacob Ambaek96% DNA match·Brøndby IF
- 3.Jeffrey Adjei-Broni96% DNA match·Hvidovre
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. Statistically, he stands out as a regular goalscorer (0.22 goals/90) and a reliable supplier (0.22 assists/90). The three most similar players to Stefano Lilipaly by playing style are:
- Bryan Limbombe(96% match) — A Forward. Statistically, he stands out as a capable chance creator (1.3 key passes/90) and a reliable supplier (0.21 assists/90).
- Jacob Ambaek(96% match) — A Complete Forward. Statistically, he stands out as a constant goal threat (2.7 shots/90) and a regular goalscorer (0.37 goals/90).
- Jeffrey Adjei-Broni(96% match) — A Forward. Statistically, he stands out as a reliable supplier (0.16 assists/90). However, he loses possession under pressure (1.8 dispossessed/90).
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
B
Bryan Limbombe
Heracles Almelo · Eredivisie
Belgium24y
G/900.07
A/900.21
vs Lilipaly: 12y younger · -0.15 G/90
96% match
N/A
#2
J
Jacob Ambaek
Brøndby IF · Superliga
Denmark18yContract 2027
G/900.46
A/900.00
Complete Forward
Last 5: ↑ Hotvs Lilipaly: 18y younger · +0.24 G/90
96% match
N/A
#3
J
Jeffrey Adjei-Broni
Hvidovre · Superliga
Denmark22y
G/900.00
A/900.00
vs Lilipaly: 14y younger
96% match
N/A
#4
D
Delano Ladan
Koninklijke HFC · Eredivisie
Netherlands26y
G/900.20
A/900.00
96% match
N/A
#5
I
Iman Griffith
Roda JC Kerkrade · Eredivisie
Netherlands24y
G/900.22
A/900.22
96% match
N/A
#6
G
Gavin Vlijter
De Treffers · Eredivisie
Netherlands29y
G/900.18
A/900.30
95% match
N/A
#7
A
Anders Jacobsen
Vejle Boldklub · Superliga
Denmark36y
G/900.37
A/900.00
Small Sample
95% match
N/A
#8
C
Christian Gammelgaard
Vejle Boldklub · Superliga
Denmark23y
G/900.35
A/900.00
Complete Forward
Last 5: ↓ Dip95% match
N/A
#9
M
Marco Matias
Farense · Liga Portugal
Portugal37y
G/900.21
A/900.21
95% match
N/A
#10
A
Alessio Besio
Verl · Bundesliga
Switzerland22y
G/900.09
A/900.17
95% match
N/A
#11
P
Patrick Brouwer
Telstar · Eredivisie
Netherlands25yContract 2028
G/900.28
A/900.24
Complete Forward
Last 5: ↓ Dip95% match
N/A
#12
J
Joshua Zimmerman
Livingston · Eredivisie
Netherlands24y
G/900.00
A/900.15
95% 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 Stefano Lilipaly.
Ask AI about Stefano Lilipaly →Frequently Asked Questions
Who are the best alternatives to Stefano Lilipaly?▼
The top alternatives to Stefano Lilipaly based on AI DNA playing style analysis include: Bryan Limbombe, Jacob Ambaek, Jeffrey Adjei-Broni, Delano Ladan, Iman Griffith. 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 Stefano Lilipaly in 2026?▼
Players with a similar profile to Stefano Lilipaly in 2026 include Bryan Limbombe (N/A), Jacob Ambaek (N/A), Jeffrey Adjei-Broni (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Stefano Lilipaly play and who plays similarly?▼
Stefano Lilipaly plays as a Attacker. Players with a comparable positional profile include Bryan Limbombe (Belgium, N/A); Jacob Ambaek (Denmark, N/A); Jeffrey Adjei-Broni (Denmark, N/A); Delano Ladan (Netherlands, N/A).
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.