AI DNA Similarity
Best Alternatives to Kevin Serna
Players most similar to Kevin Serna (Attacker, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Kevin Serna
- 1.Yamirou Ouorou98% DNA match·Horsens
- 2.David Garden98% DNA match·Quick Boys
- 3.Huseyin Dogan98% DNA match·Scheveningen
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
InterceptionsTop 5%
???Bottom 0%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
A Forward. Note: this profile is based on 783 minutes of playing time this season. The three most similar players to Kevin Serna by playing style are:
- Yamirou Ouorou(98% match) — A Forward. Note: this profile is based on 858 minutes of playing time this season.
- David Garden(98% match) — A Forward. Note: this profile is based on 673 minutes of playing time this season.
- Huseyin Dogan(98% match) — A Forward. Note: this profile is based on 605 minutes of playing time this season.
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
Y
Yamirou Ouorou
Horsens · Superliga
Benin19y
G/900.00
A/900.00
Small Sample
vs Serna: 9y younger
98% match
N/A
#2
D
David Garden
Quick Boys · Eredivisie
Netherlands21y
G/900.13
A/900.00
Small Sample
vs Serna: 7y younger
98% match
N/A
#3
H
Huseyin Dogan
Scheveningen · Eredivisie
Netherlands32y
G/900.00
A/900.00
Small Sample
vs Serna: 4y older
98% match
N/A
#4
M
Morgan Bokele
Metz · Ligue 1
France22y
G/900.00
A/900.00
Small Sample
94% match
N/A
#5
P
Peter Federico
Getafe · La Liga
Spain23y
G/900.32
A/900.00
Small Sample
Last 5: ↓ Dip94% match
N/A
#6
D
Dion Versluis
NAC Breda · Eredivisie
Netherlands23y
G/900.15
A/900.00
Small Sample
94% match
N/A
#7
T
Tristan van Gilst
Heracles Almelo · Eredivisie
Netherlands23y
G/900.08
A/900.00
94% match
N/A
#8
A
Altin Zeqiri
Rizespor · Super Lig
Kosovo25yContract 2026
G/900.13
A/900.00
Small Sample
Last 5: ↓ Dip94% match
N/A
#9
G
Gabriel Strefezza
Parma · Serie A
Brazil29yContract 2029
G/900.14
A/900.14
Small Sample
94% match
€7.0M
#10
F
Felix Mambimbi
Le Havre · Ligue 1
Switzerland25yContract 2027
G/900.29
A/900.00
Small Sample
94% match
N/A
#11
C
Cedric Wilfried Teguia Noubi
Moreirense · Liga Portugal
Spain24yContract 2028
G/900.00
A/900.00
Small Sample
94% match
N/A
#12
A
Alex Marchal
Real Sociedad · La Liga
Spain18y
G/900.19
A/900.19
94% 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 Kevin Serna.
Ask AI about Kevin Serna →Frequently Asked Questions
Who are the best alternatives to Kevin Serna?▼
The top alternatives to Kevin Serna based on AI DNA playing style analysis include: Yamirou Ouorou, David Garden, Huseyin Dogan, Morgan Bokele, Peter Federico. 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 Kevin Serna in 2026?▼
Players with a similar profile to Kevin Serna in 2026 include Yamirou Ouorou (N/A), David Garden (N/A), Huseyin Dogan (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kevin Serna play and who plays similarly?▼
Kevin Serna plays as a Attacker. Players with a comparable positional profile include Yamirou Ouorou (Benin, N/A); David Garden (Netherlands, N/A); Huseyin Dogan (Netherlands, N/A); Morgan Bokele (France, 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.