AI DNA Similarity
Best Alternatives to Simone Perilli
Players most similar to Simone Perilli (Goalkeeper, €400K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Reliable Keeper. Statistically, he stands out as dominant in aerial duels (89% success) and keeps goals out effectively (0.06 conceded/90). The three most similar players to Simone Perilli by playing style are:
- Alfred Gomis(100% match) — A Reliable Keeper. Statistically, he stands out as dominant in aerial duels (75% success) and keeps goals out effectively (0.12 conceded/90).
- Ataberk Dadakdeniz(100% match) — A Reliable Keeper. Statistically, he stands out as dominant in aerial duels (90% success) and keeps goals out effectively (0.79 conceded/90).
- Roy Kortsmit(100% match) — A Reliable Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and keeps goals out effectively (0.35 conceded/90).
Transfer Intelligence
Alfred Gomis delivers 100% of the same playing style, at a 2400% premium over Simone Perilli, and is 32 years old.
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
A
Alfred Gomis
Palermo · Serie A
Senegal32yContract 2026
Tkl/900.00
Reliable Keeper
100% match
€10.0M
#2
A
Ataberk Dadakdeniz
Antalyaspor · Super Lig
Turkey26yContract 2026
Tkl/900.00
Reliable Keeper
100% match
N/A
#3
R
Roy Kortsmit
NAC Breda · Eredivisie
Netherlands33y
Tkl/900.05
Reliable Keeper
100% match
N/A
#4
J
Jakob Tånnander
Farense · Liga Portugal
Sweden25y
Tkl/900.05
Reliable Keeper
100% match
N/A
#5
A
Anatoliy Trubin
Benfica · Liga Portugal
Ukraine24yContract 2028
Tkl/900.00
Reliable Keeper
100% match
€28.0M
#6
D
David Raya
Arsenal · Premier League
Spain30yContract 2028
Tkl/900.03
Reliable Keeper
100% match
€35.0M
#7
I
Indy Groothuizen
Spakenburg · Superliga
Netherlands29y
Tkl/900.00
Reliable Keeper
100% match
N/A
#8
F
Florian Stritzel
Wehen Wiesbaden · Bundesliga
Germany32y
Tkl/900.00
Reliable Keeper
100% match
N/A
#9
D
Daniel Mesenhöler
Dynamo Dresden · Bundesliga
Germany30yContract 2026
Tkl/900.00
Reliable Keeper
100% match
N/A
#10
P
Pedro José da Silva Trigueira
AVS · Liga Portugal
Portugal38yContract 2026
Tkl/900.03
Reliable Keeper
100% match
N/A
#11
J
Joan García
FC Barcelona · La Liga
Spain24yContract 2031
Tkl/900.23
Reliable Keeper
98% match
€30.0M
#12
L
Lucas Chevalier
Paris Saint Germain · Ligue 1
France24yContract 2030
Tkl/900.00
Reliable Keeper
98% match
€35.0M
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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 Simone Perilli.
Ask AI about Simone Perilli →Frequently Asked Questions
Who are the best alternatives to Simone Perilli?▼
The top alternatives to Simone Perilli based on AI DNA playing style analysis include: Alfred Gomis, Ataberk Dadakdeniz, Roy Kortsmit, Jakob Tånnander, Anatoliy Trubin. 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 Simone Perilli in 2026?▼
Players with a similar profile to Simone Perilli in 2026 include Alfred Gomis (€10.0M), Ataberk Dadakdeniz (N/A), Roy Kortsmit (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Simone Perilli play and who plays similarly?▼
Simone Perilli plays as a Goalkeeper. Players with a comparable positional profile include Alfred Gomis (Senegal, €10.0M); Ataberk Dadakdeniz (Turkey, N/A); Roy Kortsmit (Netherlands, N/A); Jakob Tånnander (Sweden, 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.