AI DNA Similarity
Best Alternatives to Victor Edvardsen
Players most similar to Victor Edvardsen (Attacker, €850K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Victor Edvardsen
- 1.Alessio Besio99% DNA match·Verl
- 2.Iman Griffith99% DNA match·Roda JC Kerkrade
- 3.Gyan de Regt98% DNA match·Excelsior
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
AssistsTop 17%
???Bottom 14%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. Statistically, he stands out as an elite creator (1.7 key passes/90) and a prolific assist provider (0.28 assists/90). The three most similar players to Victor Edvardsen by playing style are:
- Alessio Besio(99% match) — A Forward. Statistically, he stands out as an elite creator (1.8 key passes/90) and a reliable supplier (0.17 assists/90).
- Iman Griffith(99% match) — A Forward. Statistically, he stands out as an elite creator (1.7 key passes/90) and a reliable supplier (0.19 assists/90).
- Gyan de Regt(98% match) — A Forward. Statistically, he stands out as an elite creator (1.9 key passes/90), a reliable supplier (0.21 assists/90) and creates high-quality scoring opportunities (0.52 big chances/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
A
Alessio Besio
Verl · Bundesliga
Switzerland22y
G/900.09
A/900.17
vs Edvardsen: 8y younger · -0.10 G/90
99% match
N/A
#2
I
Iman Griffith
Roda JC Kerkrade · Eredivisie
Netherlands24y
G/900.22
A/900.22
vs Edvardsen: 6y younger
99% match
N/A
#3
G
Gyan de Regt
Excelsior · Eredivisie
Netherlands22yContract 2027
G/900.10
A/900.21
vs Edvardsen: 8y younger · -0.08 G/90
98% match
N/A
#4
G
Göktan Gürpüz
Gençlerbirliği · Super Lig
Turkey23y
G/900.00
A/900.28
Dynamic ForwardDribbler
97% match
N/A
#5
G
Gavin Vlijter
De Treffers · Eredivisie
Netherlands29y
G/900.18
A/900.30
97% match
N/A
#6
B
Bryan Limbombe
Heracles Almelo · Eredivisie
Belgium24y
G/900.07
A/900.21
97% match
N/A
#7
W
Welinton Torrão
Santa Clara · Liga Portugal
Brazil26y
G/900.12
A/900.17
Small Sample
Last 5: ↓ Dip97% match
N/A
#8
N
Noah Jose Saviolo
Vitória Guimarães · Liga Portugal
Belgium22y
G/900.10
A/900.20
97% match
N/A
#9
D
Dennis Chessa
Ulm · Bundesliga
Germany33yContract 2026
G/900.00
A/900.28
96% match
N/A
#10
K
Kyliane Dong
FC Augsburg · Bundesliga
France21y
G/900.00
A/900.00
Inside Forward
97% match
N/A
#11
A
Axel Camblan
Clermont · Ligue 1
France22y
G/900.00
A/900.13
97% match
N/A
#12
J
Julien Lopez
Paris · Ligue 1
Algeria34y
G/900.00
A/900.00
96% 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 Victor Edvardsen.
Ask AI about Victor Edvardsen →Frequently Asked Questions
Who are the best alternatives to Victor Edvardsen?▼
The top alternatives to Victor Edvardsen based on AI DNA playing style analysis include: Alessio Besio, Iman Griffith, Gyan de Regt, Göktan Gürpüz, Gavin Vlijter. 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 Victor Edvardsen in 2026?▼
Players with a similar profile to Victor Edvardsen in 2026 include Alessio Besio (N/A), Iman Griffith (N/A), Gyan de Regt (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Victor Edvardsen play and who plays similarly?▼
Victor Edvardsen plays as a Attacker. Players with a comparable positional profile include Alessio Besio (Switzerland, N/A); Iman Griffith (Netherlands, N/A); Gyan de Regt (Netherlands, N/A); Göktan Gürpüz (Turkey, 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.