AI DNA Similarity
Best Alternatives to Kevin Müller
Players most similar to Kevin Müller (Goalkeeper, €300K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (93% success) and reliable in goal (3.2 saves/90). The three most similar players to Kevin Müller by playing style are:
- Timo Jansink(100% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and reliable in goal (3.7 saves/90).
- Hans Christian Bernat(100% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (84% success) and reliable in goal (3.9 saves/90).
- Noah Atubolu(100% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and reliable in goal (3.0 saves/90).
Transfer Intelligence
Noah Atubolu delivers 100% of the same playing style, at a 6567% premium over Kevin Müller, and is 23 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
T
Timo Jansink
Heracles Almelo · Eredivisie
Netherlands22y
Tkl/900.00
Sweeper-Keeper
100% match
N/A
#2
H
Hans Christian Bernat
Karlsruher SC · Bundesliga
Denmark25y
Tkl/900.00
Sweeper-Keeper
100% match
N/A
#3
N
Noah Atubolu
SC Freiburg · Bundesliga
Germany23yContract 2027
Tkl/900.04
Sweeper-Keeper
100% match
€20.0M
#4
N
Nikola Vasilj
St. Pauli · Bundesliga
Bosnia and Herzegovina30y
Tkl/900.04
Sweeper-Keeper
100% match
€4.5M
#5
M
Moritz Nicolas
Borussia Mönchengladbach · Bundesliga
Germany28yContract 2029
Tkl/900.04
Sweeper-Keeper
100% match
€5.0M
#6
K
Karl Hein
Werder Bremen · Bundesliga
Estonia23yContract 2026
Tkl/900.00
Sweeper-Keeper
100% match
€3.0M
#7
M
Mark Flekken
Bayer 04 Leverkusen · Bundesliga
Netherlands32yContract 2028
Tkl/900.00
Sweeper-Keeper
99% match
€8.0M
#8
A
Alfonso Herrero
Málaga · La Liga
Spain31yContract 2028
Tkl/900.14
Sweeper-Keeper
99% match
N/A
#9
A
Aris Vaporakis
B 93 · Superliga
Denmark31y
Tkl/900.00
Sweeper-Keeper
99% match
N/A
#10
M
Marcos Felipe
Eyüpspor · Super Lig
Brazil29y
Tkl/900.00
Sweeper-Keeper
99% match
N/A
#11
L
Lazar Carević
Famalicão · Liga Portugal
Montenegro27y
Tkl/900.00
Sweeper-Keeper
99% match
N/A
#12
V
Vitezslav Jaros
Ajax · Eredivisie
Czech Republic24yContract 2026
Tkl/900.00
Sweeper-Keeper
99% match
€5.0M
⬡
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 Kevin Müller.
Ask AI about Kevin Müller →Frequently Asked Questions
Who are the best alternatives to Kevin Müller?▼
The top alternatives to Kevin Müller based on AI DNA playing style analysis include: Timo Jansink, Hans Christian Bernat, Noah Atubolu, Nikola Vasilj, Moritz Nicolas. 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 Kevin Müller in 2026?▼
Players with a similar profile to Kevin Müller in 2026 include Timo Jansink (N/A), Hans Christian Bernat (N/A), Noah Atubolu (€20.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kevin Müller play and who plays similarly?▼
Kevin Müller plays as a Goalkeeper. Players with a comparable positional profile include Timo Jansink (Netherlands, N/A); Hans Christian Bernat (Denmark, N/A); Noah Atubolu (Germany, €20.0M); Nikola Vasilj (Bosnia and Herzegovina, €4.5M).
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.