AI DNA Similarity
Best Alternatives to Iván Angulo
Players most similar to Iván Angulo (Attacker, €1.4M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Iván Angulo
- 1.Alessio Besio98% DNA match·Verl
- 2.Iman Griffith98% DNA match·Roda JC Kerkrade
- 3.Jorg Schreuders97% DNA match·FC Groningen
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Press IntensityTop 0%
???Bottom 0%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. Statistically, he stands out as an elite creator (1.5 key passes/90), a prolific assist provider (0.26 assists/90) and meticulous in distribution (87% pass accuracy). The three most similar players to Iván Angulo by playing style are:
- Alessio Besio(98% 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(98% match) — A Forward. Statistically, he stands out as an elite creator (1.7 key passes/90) and a reliable supplier (0.19 assists/90).
- Jorg Schreuders(97% match) — A Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and meticulous in distribution (86% pass accuracy).
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 Angulo: 5y younger
98% match
N/A
#2
I
Iman Griffith
Roda JC Kerkrade · Eredivisie
Netherlands24y
G/900.22
A/900.22
vs Angulo: 3y younger
98% match
N/A
#3
J
Jorg Schreuders
FC Groningen · Eredivisie
Netherlands21y
G/900.03
A/900.07
vs Angulo: 6y younger
97% match
N/A
#4
J
Julien Lopez
Paris · Ligue 1
Algeria34y
G/900.00
A/900.00
97% match
N/A
#5
G
Gyan de Regt
Excelsior · Eredivisie
Netherlands22yContract 2027
G/900.10
A/900.21
97% match
N/A
#6
G
Göktan Gürpüz
Gençlerbirliği · Super Lig
Turkey23y
G/900.00
A/900.28
Dynamic ForwardDribbler
97% match
N/A
#7
D
Dennis Chessa
Ulm · Bundesliga
Germany33yContract 2026
G/900.00
A/900.28
96% match
N/A
#8
L
Layee Kromah
VVV-Venlo · Eredivisie
Netherlands22yContract 2026
G/900.13
A/900.13
96% match
N/A
#9
B
Bryan Limbombe
Heracles Almelo · Eredivisie
Belgium24y
G/900.07
A/900.21
96% match
N/A
#10
M
Mike Themsen
Randers FC · Superliga
Denmark20yContract 2028
G/900.00
A/900.25
Complete Forward
96% match
N/A
#11
M
Marco Matias
Farense · Liga Portugal
Portugal37y
G/900.21
A/900.21
96% match
N/A
#12
C
Carlos Álvarez
Levante · La Liga
Spain22y
G/900.12
A/900.06
96% match
N/A
⬡
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 Iván Angulo.
Ask AI about Iván Angulo →Frequently Asked Questions
Who are the best alternatives to Iván Angulo?▼
The top alternatives to Iván Angulo based on AI DNA playing style analysis include: Alessio Besio, Iman Griffith, Jorg Schreuders, Julien Lopez, Gyan de Regt. 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 Iván Angulo in 2026?▼
Players with a similar profile to Iván Angulo in 2026 include Alessio Besio (N/A), Iman Griffith (N/A), Jorg Schreuders (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Iván Angulo play and who plays similarly?▼
Iván Angulo plays as a Attacker. Players with a comparable positional profile include Alessio Besio (Switzerland, N/A); Iman Griffith (Netherlands, N/A); Jorg Schreuders (Netherlands, N/A); Julien Lopez (Algeria, 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.