AI DNA Similarity
Best Alternatives to Lasse Wehmeyer
Players most similar to Lasse Wehmeyer (Attacker, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Lasse Wehmeyer
- 1.Carlos Álvarez98% DNA match·Levante
- 2.Miguel Puche97% DNA match·Arouca
- 3.Noah Jose Saviolo97% DNA match·Vitória Guimarães
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
DribblesTop 23%
???Bottom 0%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. Statistically, he stands out as an elite creator (1.6 key passes/90) and draws fouls effectively (2.3/90). However, he prone to committing fouls (2.6/90). The three most similar players to Lasse Wehmeyer by playing style are:
- Carlos Álvarez(98% match) — A Forward. Statistically, he stands out as an elite creator (2.3 key passes/90) and draws fouls effectively (2.2/90). However, he loses possession under pressure (1.7 dispossessed/90).
- Miguel Puche(97% match) — A Forward. Statistically, he stands out as an elite creator (1.8 key passes/90). However, he prone to committing fouls (2.5/90).
- Noah Jose Saviolo(97% match) — A Forward. Statistically, he stands out as a reliable supplier (0.21 assists/90) and draws fouls effectively (2.8/90).
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
C
Carlos Álvarez
Levante · La Liga
Spain22y
G/900.12
A/900.06
vs Wehmeyer: -0.06 G/90
98% match
N/A
#2
M
Miguel Puche
Arouca · Liga Portugal
Spain25y
G/900.13
A/900.13
Small Sample
Last 5: ↑ Hotvs Wehmeyer: 2y older · -0.05 G/90
97% match
N/A
#3
N
Noah Jose Saviolo
Vitória Guimarães · Liga Portugal
Belgium22y
G/900.10
A/900.20
vs Wehmeyer: -0.08 G/90
97% match
N/A
#4
M
Marco Matias
Farense · Liga Portugal
Portugal37y
G/900.21
A/900.21
96% match
N/A
#5
L
Layee Kromah
VVV-Venlo · Eredivisie
Netherlands22yContract 2026
G/900.13
A/900.13
96% match
N/A
#6
L
Landerson
Moreirense · Liga Portugal
Brazil19y
G/900.00
A/900.15
96% match
N/A
#7
K
Kyliane Dong
FC Augsburg · Bundesliga
France21y
G/900.00
A/900.00
Inside Forward
96% match
N/A
#8
A
Alessio Besio
Verl · Bundesliga
Switzerland22y
G/900.09
A/900.17
95% match
N/A
#9
V
V. Rasmussen
Hobro · Superliga
Denmark24y
G/900.00
A/900.21
95% match
N/A
#10
T
Tim Rossmann
Fortuna Düsseldorf · Bundesliga
Germany22yContract 2028
G/900.18
A/900.09
95% match
N/A
#11
B
Brenner
Santa Clara · Liga Portugal
Brazil24yContract 2028
G/900.00
A/900.07
95% match
N/A
#12
H
Harry Gray
Rotherham United · Premier League
England18yContract 2026
G/900.15
A/900.05
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 Lasse Wehmeyer.
Ask AI about Lasse Wehmeyer →Frequently Asked Questions
Who are the best alternatives to Lasse Wehmeyer?▼
The top alternatives to Lasse Wehmeyer based on AI DNA playing style analysis include: Carlos Álvarez, Miguel Puche, Noah Jose Saviolo, Marco Matias, Layee Kromah. 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 Lasse Wehmeyer in 2026?▼
Players with a similar profile to Lasse Wehmeyer in 2026 include Carlos Álvarez (N/A), Miguel Puche (N/A), Noah Jose Saviolo (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Lasse Wehmeyer play and who plays similarly?▼
Lasse Wehmeyer plays as a Attacker. Players with a comparable positional profile include Carlos Álvarez (Spain, N/A); Miguel Puche (Spain, N/A); Noah Jose Saviolo (Belgium, N/A); Marco Matias (Portugal, 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.