AI DNA Similarity
Best Alternatives to Viljami Sinisalo
Players most similar to Viljami Sinisalo (Goalkeeper, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Viljami Sinisalo
- 1.João Valido99% DNA match·Arouca
- 2.Felix Gebhardt98% DNA match·Jahn Regensburg
- 3.Luca Plogmann98% DNA match·Go Ahead Eagles
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Sweeper-Keeper
A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and commands the box with authority (0.9 punches/90). The three most similar players to Viljami Sinisalo by playing style are:
- João Valido(99% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success). However, he concedes frequently (2.67/90).
- Felix Gebhardt(98% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and commands the box with authority (0.5 punches/90). However, he concedes frequently (2.17/90).
- Luca Plogmann(98% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and commands the box with authority (0.7 punches/90). However, he concedes frequently (1.72/90).
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
João Valido
Arouca · Liga Portugal
Portugal26y
Tkl/900.33
Sweeper-KeeperSmall Sample
vs Sinisalo: 2y older
99% match
N/A
#2
F
Felix Gebhardt
Jahn Regensburg · Bundesliga
Germany24y
Tkl/900.05
Sweeper-Keeper
98% match
N/A
#3
L
Luca Plogmann
Go Ahead Eagles · Eredivisie
Germany26yContract 2026
Tkl/900.00
Sweeper-Keeper
vs Sinisalo: 2y older
98% match
N/A
#4
B
Barry Lauwers
RKAV Volendam · Eredivisie
Netherlands26y
Tkl/900.00
Sweeper-KeeperSmall Sample
98% match
N/A
#5
L
Lassana Sy
Bordeaux · Ligue 1
Mali22y
Tkl/900.00
Sweeper-KeeperSmall Sample
98% match
N/A
#6
L
Lucão
Gil Vicente · Liga Portugal
Brazil25y
Tkl/900.00
Traditional KeeperSmall Sample
97% match
N/A
#7
R
Roy Steur
FC Volendam · Eredivisie
Netherlands21y
Tkl/900.00
Commanding KeeperSmall Sample
97% match
N/A
#8
T
Timo Schlieck
SpVgg Greuther Fürth · Bundesliga
Germany20y
Tkl/900.00
Commanding KeeperSmall Sample
97% match
N/A
#9
T
Timo Jansink
Heracles Almelo · Eredivisie
Netherlands22y
Tkl/900.00
Sweeper-Keeper
97% match
N/A
#10
H
Hans Christian Bernat
Karlsruher SC · Bundesliga
Denmark25y
Tkl/900.00
Sweeper-Keeper
97% match
N/A
#11
B
Bertil Grønkjær
Aalborg BK · Superliga
Denmark18y
Tkl/900.00
Commanding KeeperSmall Sample
97% match
N/A
#12
A
A. Danko
Kolding IF · Superliga
Slovakia22y
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 Viljami Sinisalo.
Ask AI about Viljami Sinisalo →Frequently Asked Questions
Who are the best alternatives to Viljami Sinisalo?▼
The top alternatives to Viljami Sinisalo based on AI DNA playing style analysis include: João Valido, Felix Gebhardt, Luca Plogmann, Barry Lauwers, Lassana Sy. 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 Viljami Sinisalo in 2026?▼
Players with a similar profile to Viljami Sinisalo in 2026 include João Valido (N/A), Felix Gebhardt (N/A), Luca Plogmann (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Viljami Sinisalo play and who plays similarly?▼
Viljami Sinisalo plays as a Goalkeeper. Players with a comparable positional profile include João Valido (Portugal, N/A); Felix Gebhardt (Germany, N/A); Luca Plogmann (Germany, N/A); Barry Lauwers (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.