AI DNA Similarity
Best Alternatives to Lassana Sy
Players most similar to Lassana Sy (Goalkeeper, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Lassana Sy
- 1.Barry Lauwers98% DNA match·RKAV Volendam
- 2.João Valido98% DNA match·Arouca
- 3.Benjamin Uphoff98% DNA match·Hansa Rostock
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“A Sweeper-Keeper....”
See Full Verdict + Share Card →Playing Style Analysis
Sweeper-KeeperSmall Sample
A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and keeps goals out effectively (0.71 conceded/90). Note: this profile is based on 630 minutes of playing time this season. The three most similar players to Lassana Sy by playing style are:
- Barry Lauwers(98% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and exceptionally busy shot-stopper (4.4 saves/90). However, he concedes frequently (1.89/90).
- João Valido(98% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success). However, he concedes frequently (2.67/90).
- Benjamin Uphoff(98% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and keeps goals out effectively (0.41 conceded/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
Barry Lauwers
RKAV Volendam · Eredivisie
Netherlands26y
Tkl/900.00
Sweeper-KeeperSmall Sample
vs Sy: 4y older
98% match
N/A
#2
J
João Valido
Arouca · Liga Portugal
Portugal26y
Tkl/900.33
Sweeper-KeeperSmall Sample
vs Sy: 4y older
98% match
N/A
#3
B
Benjamin Uphoff
Hansa Rostock · Bundesliga
Germany32yContract 2026
Tkl/900.00
Sweeper-Keeper
vs Sy: 10y older
98% match
N/A
#4
D
Deniz Dilmen
İstanbul Başakşehir · Super Lig
Turkey20y
Tkl/900.03
Sweeper-Keeper
98% match
N/A
#5
V
Volkan Babacan
İstanbul Başakşehir · Super Lig
Turkey37y
Tkl/900.00
Sweeper-Keeper
98% match
N/A
#6
M
Max Schmitt
Ulm · Bundesliga
Germany20yContract 2026
Tkl/900.00
Sweeper-KeeperSmall Sample
98% match
N/A
#7
N
N. Sømmergaard
HB Køge · Superliga
Denmark19y
Tkl/900.00
Sweeper-Keeper
97% match
N/A
#8
L
Lazar Carević
Famalicão · Liga Portugal
Montenegro27y
Tkl/900.03
Sweeper-Keeper
97% match
N/A
#9
M
Marcos Felipe
Eyüpspor · Super Lig
Brazil30y
Tkl/900.00
Sweeper-Keeper
97% match
N/A
#10
P
Paul Izzo
Randers FC · Superliga
Australia31yContract 2027
Tkl/900.10
Sweeper-Keeper
97% match
N/A
#11
A
Alfonso Herrero
Málaga · La Liga
Spain32yContract 2028
Tkl/900.14
Sweeper-Keeper
97% match
N/A
#12
H
Hans Christian Bernat
Karlsruher SC · Bundesliga
Denmark25y
Tkl/900.00
Sweeper-Keeper
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 Lassana Sy.
Ask AI about Lassana Sy →Frequently Asked Questions
Who are the best alternatives to Lassana Sy?▼
The top alternatives to Lassana Sy based on AI DNA playing style analysis include: Barry Lauwers, João Valido, Benjamin Uphoff, Deniz Dilmen, Volkan Babacan. 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 Lassana Sy in 2026?▼
Players with a similar profile to Lassana Sy in 2026 include Barry Lauwers (N/A), João Valido (N/A), Benjamin Uphoff (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Lassana Sy play and who plays similarly?▼
Lassana Sy plays as a Goalkeeper. Players with a comparable positional profile include Barry Lauwers (Netherlands, N/A); João Valido (Portugal, N/A); Benjamin Uphoff (Germany, N/A); Deniz Dilmen (Turkey, 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.