AI DNA Similarity
Best Alternatives to Florian Pick
Players most similar to Florian Pick (Attacker, €800K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Florian Pick
- 1.Julien Lopez99% DNA match·Paris
- 2.Axel Camblan98% DNA match·Clermont
- 3.Gyan de Regt98% DNA match·Excelsior
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
DribblesTop 13%
???Bottom 0%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. Statistically, he stands out as a capable chance creator (1.4 key passes/90) and creates high-quality scoring opportunities (0.72 big chances/90). The three most similar players to Florian Pick by playing style are:
- Julien Lopez(99% match) — A Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90), meticulous in distribution (86% pass accuracy) and creates high-quality scoring opportunities (0.60 big chances/90).
- Axel Camblan(98% match) — A Forward. Statistically, he stands out as a capable chance creator (1.4 key passes/90) and a reliable supplier (0.16 assists/90).
- Gyan de Regt(98% match) — A Forward. Statistically, he stands out as an elite creator (1.9 key passes/90), a reliable supplier (0.21 assists/90) and creates high-quality scoring opportunities (0.52 big chances/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
J
Julien Lopez
Paris · Ligue 1
Algeria34y
G/900.00
A/900.00
vs Pick: 4y older
99% match
N/A
#2
A
Axel Camblan
Clermont · Ligue 1
France22y
G/900.00
A/900.13
vs Pick: 8y younger
98% match
N/A
#3
G
Gyan de Regt
Excelsior · Eredivisie
Netherlands22yContract 2027
G/900.10
A/900.21
vs Pick: 8y younger
98% match
N/A
#4
K
Kyliane Dong
FC Augsburg · Bundesliga
France21y
G/900.00
A/900.00
Inside Forward
98% match
N/A
#5
K
Kevin Csoboth
Gençlerbirliği · Super Lig
Hungary25y
G/900.07
A/900.07
98% match
N/A
#6
J
Jorg Schreuders
FC Groningen · Eredivisie
Netherlands21y
G/900.03
A/900.07
98% match
N/A
#7
B
Bryan Limbombe
Heracles Almelo · Eredivisie
Belgium24y
G/900.07
A/900.21
97% match
N/A
#8
D
Delano Ladan
Koninklijke HFC · Eredivisie
Netherlands26y
G/900.20
A/900.00
97% match
N/A
#9
J
Juho Talvitie
NAC Breda · Eredivisie
Finland21y
G/900.14
A/900.07
97% match
N/A
#10
D
Dennis Chessa
Ulm · Bundesliga
Germany33yContract 2026
G/900.00
A/900.28
97% match
N/A
#11
N
Naïm Matoug
VVV-Venlo · Eredivisie
Netherlands23yContract 2026
G/900.18
A/900.09
97% match
N/A
#12
B
Baris Ekincier
Ümraniyespor · Super Lig
Azerbaijan27yContract 2025
G/900.18
A/900.09
97% 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 Florian Pick.
Ask AI about Florian Pick →Frequently Asked Questions
Who are the best alternatives to Florian Pick?▼
The top alternatives to Florian Pick based on AI DNA playing style analysis include: Julien Lopez, Axel Camblan, Gyan de Regt, Kyliane Dong, Kevin Csoboth. 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 Florian Pick in 2026?▼
Players with a similar profile to Florian Pick in 2026 include Julien Lopez (N/A), Axel Camblan (N/A), Gyan de Regt (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Florian Pick play and who plays similarly?▼
Florian Pick plays as a Attacker. Players with a comparable positional profile include Julien Lopez (Algeria, N/A); Axel Camblan (France, N/A); Gyan de Regt (Netherlands, N/A); Kyliane Dong (France, 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.