AI DNA Similarity
Best Alternatives to Vincent Müller
Players most similar to Vincent Müller (Goalkeeper, €500K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Commanding Keeper in Superliga. Statistically, he stands out as dominant in aerial duels (79% success), reliable in goal (3.7 saves/90) and commands the box with authority (0.7 punches/90). The three most similar players to Vincent Müller by playing style are:
- Kasper Kiilerich(100% match) — A Commanding Keeper in Superliga. Statistically, he stands out as dominant in aerial duels (100% success), reliable in goal (3.2 saves/90) and commands the box with authority (0.5 punches/90).
- Igor Vekic(99% match) — A Commanding Keeper in Superliga. Statistically, he stands out as dominant in aerial duels (85% success), reliable in goal (3.2 saves/90) and commands the box with authority (0.8 punches/90).
- Mattias Lamhauge(98% match) — A Commanding Keeper in Superliga. Statistically, he stands out as dominant in aerial duels (75% success), exceptionally busy shot-stopper (4.3 saves/90) and commands the box with authority (0.7 punches/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
K
Kasper Kiilerich
Aarhus Fremad · Superliga
Denmark20y
Tkl/900.00
Commanding Keeper
100% match
N/A
#2
I
Igor Vekic
Vejle Boldklub · Superliga
Slovenia27y
Tkl/900.00
Commanding Keeper
99% match
N/A
#3
M
Mattias Lamhauge
Fredericia · Superliga
Faroe Islands26y
Tkl/900.08
Commanding Keeper
98% match
N/A
#4
A
A. Danko
Kolding IF · Superliga
Slovakia22y
Tkl/900.00
Commanding KeeperSmall Sample
98% match
N/A
#5
F
Frederik Ibsen
B 93 · Superliga
Denmark28y
Tkl/900.14
Commanding Keeper
98% match
N/A
#6
M
Matej Delac
Horsens · Superliga
Croatia33yContract 2027
Tkl/900.07
Traditional Keeper
97% match
N/A
#7
L
Lucas Lund
Viborg FF · Superliga
Denmark26yContract 2027
Tkl/900.08
Traditional Keeper
96% match
N/A
#8
P
Paul Izzo
Randers FC · Superliga
Australia31yContract 2027
Tkl/900.10
Sweeper-Keeper
96% match
N/A
#9
A
Andreas Hermansen
Horsens · Superliga
Denmark21y
Tkl/900.00
Reliable KeeperSmall Sample
96% match
N/A
#10
J
J. Dakir
Hobro · Superliga
Denmark28y
Tkl/900.00
Traditional Keeper
95% match
N/A
#11
R
Ricardo Velho
Gençlerbirliği · Super Lig
Portugal27y
Tkl/900.00
Commanding Keeper
95% match
N/A
#12
A
A. Kappenberger
Hillerød · Superliga
Denmark29y
Tkl/900.07
Sweeper-Keeper
95% 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 Vincent Müller.
Ask AI about Vincent Müller →Frequently Asked Questions
Who are the best alternatives to Vincent Müller?▼
The top alternatives to Vincent Müller based on AI DNA playing style analysis include: Kasper Kiilerich, Igor Vekic, Mattias Lamhauge, A. Danko, Frederik Ibsen. 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 Vincent Müller in 2026?▼
Players with a similar profile to Vincent Müller in 2026 include Kasper Kiilerich (N/A), Igor Vekic (N/A), Mattias Lamhauge (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Vincent Müller play and who plays similarly?▼
Vincent Müller plays as a Goalkeeper. Players with a comparable positional profile include Kasper Kiilerich (Denmark, N/A); Igor Vekic (Slovenia, N/A); Mattias Lamhauge (Faroe Islands, N/A); A. Danko (Slovakia, 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.