AI DNA Similarity
Best Alternatives to W. Evans
Players most similar to W. Evans (Attacker, €230K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to W. Evans
- 1.C. Jensen100% DNA match·HB Køge
- 2.Patrick Mortensen100% DNA match·AGF
- 3.Diego Ariel Duarte Gárcete100% DNA match·AVS
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
InterceptionsTop 8%
???Bottom 20%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. Statistically, he stands out as a regular goalscorer (0.22 goals/90). The three most similar players to W. Evans by playing style are:
- C. Jensen(100% match) — A Complete Forward. Statistically, he stands out as a regular goalscorer (0.29 goals/90).
- Patrick Mortensen(100% match) — A Target Man. Statistically, he stands out as a regular goalscorer (0.32 goals/90).
- Diego Ariel Duarte Gárcete(100% match) — A Forward. Statistically, he stands out as a regular goalscorer (0.22 goals/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
C. Jensen
HB Køge · Superliga
Denmark26y
G/900.17
A/900.09
Complete Forward
Last 5: ↑ Hotvs Evans: 2y younger
100% match
N/A
#2
P
Patrick Mortensen
AGF · Superliga
Denmark36y
G/900.41
A/900.00
Target Man
Last 5: → Stablevs Evans: 8y older · +0.19 G/90
100% match
N/A
#3
D
Diego Ariel Duarte Gárcete
AVS · Liga Portugal
Paraguay24yContract 2026
G/900.22
A/900.07
vs Evans: 4y younger
100% match
N/A
#4
M
Mohamad Al Naser
HB Køge · Superliga
Jordan29y
G/900.32
A/900.00
Complete Forward
Last 5: ↓ Dip99% match
N/A
#5
A
Aurelio Oehlers
FC Volendam · Eredivisie
Netherlands22y
G/900.23
A/900.06
98% match
N/A
#6
B
Batuhan Çelik
Ümraniyespor · Super Lig
Turkey21y
G/900.43
A/900.14
Complete ForwardProlific
Last 5: → Stable97% match
N/A
#7
W
William Martin
Odense BK · Superliga
Republic of Ireland19yContract 2027
G/900.25
A/900.08
Complete Forward
Last 5: ↑ Hot97% match
N/A
#8
K
Kikas
Estrela Amadora · Liga Portugal
Portugal27yContract 2026
G/900.44
A/900.07
Complete ForwardProlific
Last 5: ↑ Hot97% match
N/A
#9
A
A. Gøthler
HB Køge · Superliga
Denmark18y
G/900.49
A/900.00
Complete ForwardProlific
Last 5: → Stable97% match
N/A
#10
K
K. Hansen
Aalborg BK · Superliga
Norway25y
G/900.61
A/900.00
Dynamic ForwardProlific
Last 5: ↓ Dip97% match
N/A
#11
O
Oscar Buch
Fredericia · Superliga
Denmark29y
G/900.63
A/900.13
Complete ForwardProlific
Last 5: ↓ Dip97% match
N/A
#12
D
Dioni
Eldense · La Liga
Spain36y
G/900.27
A/900.14
Complete Forward
97% 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 W. Evans.
Ask AI about W. Evans →Frequently Asked Questions
Who are the best alternatives to W. Evans?▼
The top alternatives to W. Evans based on AI DNA playing style analysis include: C. Jensen, Patrick Mortensen, Diego Ariel Duarte Gárcete, Mohamad Al Naser, Aurelio Oehlers. 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 W. Evans in 2026?▼
Players with a similar profile to W. Evans in 2026 include C. Jensen (N/A), Patrick Mortensen (N/A), Diego Ariel Duarte Gárcete (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does W. Evans play and who plays similarly?▼
W. Evans plays as a Attacker. Players with a comparable positional profile include C. Jensen (Denmark, N/A); Patrick Mortensen (Denmark, N/A); Diego Ariel Duarte Gárcete (Paraguay, N/A); Mohamad Al Naser (Jordan, 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.