AI DNA Similarity
Best Alternatives to Nick Bätzner
Players most similar to Nick Bätzner (Attacker, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Nick Bätzner
- 1.Simon Elisor100% DNA match·Famalicão
- 2.Miguel Cardoso98% DNA match·Kayserispor
- 3.Oliver Kjærgaard98% DNA match·Hvidovre
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Press IntensityTop 10%
???Bottom 0%
“A Complete Forward....”
See Full Verdict + Share Card →Playing Style Analysis
Complete Forward
A Complete Forward. Statistically, he stands out as a capable chance creator (1.3 key passes/90) and a reliable supplier (0.15 assists/90). The three most similar players to Nick Bätzner by playing style are:
- Simon Elisor(100% match) — A Forward.
- Miguel Cardoso(98% match) — A Complete Forward. Statistically, he stands out as an elite creator (1.9 key passes/90) and a reliable supplier (0.19 assists/90).
- Oliver Kjærgaard(98% match) — A Complete Forward. Statistically, he stands out as a capable chance creator (1.3 key passes/90) and a reliable supplier (0.24 assists/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
Simon Elisor
Famalicão · Liga Portugal
France26y
G/900.04
A/900.09
vs Bätzner: -0.12 G/90
100% match
N/A
#2
M
Miguel Cardoso
Kayserispor · Super Lig
Portugal31yContract 2027
G/900.06
A/900.19
Complete Forward
Last 5: ↓ Dipvs Bätzner: 5y older · -0.10 G/90
98% match
N/A
#3
O
Oliver Kjærgaard
Hvidovre · Superliga
Denmark27y
G/900.17
A/900.33
Complete Forward
Last 5: ↑ Hot98% match
N/A
#4
S
Sven Blummel
FC Eindhoven · Eredivisie
Netherlands29yContract 2026
G/900.11
A/900.00
Complete Forward
Last 5: ↓ Dip98% match
N/A
#5
D
Dioni
Eldense · La Liga
Spain36y
G/900.27
A/900.14
Complete Forward
98% match
N/A
#6
N
Nassim Ait Mouhou
VVV-Venlo · Eredivisie
France21yContract 2027
G/900.10
A/900.00
Complete Forward
Last 5: ↓ Dip97% match
N/A
#7
P
Patrick Brouwer
Telstar · Eredivisie
Netherlands25yContract 2028
G/900.28
A/900.24
Complete Forward
Last 5: ↓ Dip97% match
N/A
#8
M
Mert Erkan
TOP Oss · Eredivisie
Netherlands21y
G/900.53
A/900.27
Complete Forward
Last 5: ↓ Dip97% match
N/A
#9
C
Christian Gammelgaard
Vejle Boldklub · Superliga
Denmark23y
G/900.35
A/900.00
Complete Forward
Last 5: ↓ Dip97% match
N/A
#10
L
Louey Ben Farhat
Karlsruher SC · Bundesliga
Tunisia19y
G/900.49
A/900.49
Complete ForwardProlific
Last 5: ↓ Dip97% match
N/A
#11
A
Aymen Boutoutaou
Sochaux · Ligue 1
Algeria25y
G/900.00
A/900.00
Complete Forward
97% match
N/A
#12
M
Marten Winkler
Hertha BSC · Bundesliga
Germany23y
G/900.13
A/900.40
Complete Forward
Last 5: ↓ Dip97% 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 Nick Bätzner.
Ask AI about Nick Bätzner →Frequently Asked Questions
Who are the best alternatives to Nick Bätzner?▼
The top alternatives to Nick Bätzner based on AI DNA playing style analysis include: Simon Elisor, Miguel Cardoso, Oliver Kjærgaard, Sven Blummel, Dioni. 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 Nick Bätzner in 2026?▼
Players with a similar profile to Nick Bätzner in 2026 include Simon Elisor (N/A), Miguel Cardoso (N/A), Oliver Kjærgaard (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nick Bätzner play and who plays similarly?▼
Nick Bätzner plays as a Attacker. Players with a comparable positional profile include Simon Elisor (France, N/A); Miguel Cardoso (Portugal, N/A); Oliver Kjærgaard (Denmark, N/A); Sven Blummel (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.