AI DNA Similarity
Best Alternatives to William Lykke
Players most similar to William Lykke (Goalkeeper, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to William Lykke
- 1.Sam Proctor100% DNA match·Aston Villa
- 2.Amil Siljevic99% DNA match·Eintracht Frankfurt
- 3.Lucão99% DNA match·Gil Vicente
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“A Traditional Keeper....”
See Full Verdict + Share Card →Playing Style Analysis
Traditional KeeperSmall Sample
A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (100% success). However, he concedes frequently (2.60/90). The three most similar players to William Lykke by playing style are:
- Sam Proctor(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (100% success). However, he concedes frequently (2.00/90).
- Amil Siljevic(99% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (83% success). However, he concedes frequently (1.92/90).
- Lucão(99% match) — A Traditional 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 (1.50/90).
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
S
Sam Proctor
Aston Villa · Premier League
England19y
Tkl/900.33
Traditional KeeperSmall Sample
vs Lykke: 2y younger
100% match
N/A
#2
A
Amil Siljevic
Eintracht Frankfurt · Bundesliga
Germany19y
Tkl/900.00
Traditional KeeperSmall Sample
vs Lykke: 2y younger
99% match
N/A
#3
L
Lucão
Gil Vicente · Liga Portugal
Brazil25y
Tkl/900.00
Traditional KeeperSmall Sample
vs Lykke: 4y older
99% match
N/A
#4
A
Alain Taho
Inter · Serie A
Albania19y
Tkl/900.33
Traditional KeeperSmall Sample
99% match
N/A
#5
A
A. Søndergaard
Hobro · Superliga
Denmark25y
Tkl/900.19
Traditional KeeperSmall Sample
99% match
N/A
#6
N
N. Flø
Sønderjyske Fodbold · Superliga
Denmark30yContract 2026
Tkl/900.00
Traditional KeeperSmall Sample
99% match
N/A
#7
M
Marco Brylov
Hvidovre · Superliga
Denmark30y
Tkl/900.20
Traditional KeeperSmall Sample
98% match
N/A
#8
D
Diogo Ferreira
Benfica · Liga Portugal
Portugal19y
Tkl/900.00
Traditional KeeperSmall Sample
98% match
N/A
#9
M
Martin James
Paris Saint Germain · Ligue 1
France18y
Tkl/900.00
Traditional KeeperSmall Sample
98% match
N/A
#10
C
Caio Gobbo Secco
Moreirense · Liga Portugal
Brazil35yContract 2027
Tkl/900.09
Traditional Keeper
98% match
N/A
#11
L
Luca Gunter
Tottenham Hotspur · Premier League
England21y
Tkl/900.00
Traditional Keeper
98% match
N/A
#12
D
Daan Reiziger
Telstar · Eredivisie
Netherlands24yContract 2027
Tkl/900.37
Traditional KeeperSmall Sample
98% 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 William Lykke.
Ask AI about William Lykke →Frequently Asked Questions
Who are the best alternatives to William Lykke?▼
The top alternatives to William Lykke based on AI DNA playing style analysis include: Sam Proctor, Amil Siljevic, Lucão, Alain Taho, A. Søndergaard. 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 William Lykke in 2026?▼
Players with a similar profile to William Lykke in 2026 include Sam Proctor (N/A), Amil Siljevic (N/A), Lucão (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does William Lykke play and who plays similarly?▼
William Lykke plays as a Goalkeeper. Players with a comparable positional profile include Sam Proctor (England, N/A); Amil Siljevic (Germany, N/A); Lucão (Brazil, N/A); Alain Taho (Albania, 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.