AI DNA Similarity
Best Alternatives to Pavel Gorelov
Players most similar to Pavel Gorelov (Midfielder, €140K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Pavel Gorelov
- 1.Martin Spelmann80% DNA match·Hvidovre
- 2.Daniel Bisgard Haarbo81% DNA match·Fredericia
- 3.Salvador Blopa80% DNA match·Sporting CP
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Pavel Gorelov is a Midfielder. Solid midfield option. The three most similar players to Pavel Gorelov by playing style are:
- Martin Spelmann(80% match) — Martin Spelmann is a Midfielder. Solid midfield option. Statistically, he stands out as a regular goalscorer (0.26 goals/90).
- Daniel Bisgard Haarbo(81% match) — Daniel Bisgard Haarbo is a Midfielder. Solid midfield option. Statistically, he stands out as a regular goalscorer (0.31 goals/90). (Limited sample: 293 mins)
- Salvador Blopa(80% match) — Salvador Blopa is a Midfielder. Solid midfield option. (Limited sample: 270 mins)
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
M
Martin Spelmann
Hvidovre · Superliga
Denmark39y
KP/900.40
G/900.00
Small Sample
vs Gorelov: 16y older
80% match
N/A
#2
D
Daniel Bisgard Haarbo
Fredericia · Superliga
Denmark23y
KP/900.00
G/900.31
Small Sample
81% match
N/A
#3
S
Salvador Blopa
Sporting CP · Liga Portugal
Portugal18y
KP/900.00
G/900.00
Small Sample
vs Gorelov: 5y younger
80% match
N/A
#4
N
Noah Fenyö
Eintracht Frankfurt · Bundesliga
Hungary20yContract 2029
KP/900.26
G/900.52
Small Sample
80% match
N/A
#5
Y
Yann Rollim
Caxias · Superliga
Brazil31y
KP/900.64
G/900.21
Small Sample
79% match
N/A
#6
M
Minos Gouras
Homburg · Bundesliga
Germany27y
KP/901.11
G/900.22
Balanced MidfielderSmall Sample
80% match
N/A
#7
Y
Yanis Khafi
Paris Saint Germain · Ligue 1
France20y
KP/901.18
G/900.00
Small Sample
80% match
N/A
#8
J
Jacopo Fazzini
Fiorentina · Serie A
Italy23yContract 2030
KP/901.34
G/900.00
Balanced Midfielder
Last 5: ↓ Dip79% match
€9.0M
#9
A
Abdoulie Njai
Kolding IF · Superliga
Denmark28y
KP/900.49
G/900.21
Balanced Midfielder
78% match
N/A
#10
D
Doni Arifi
SpVgg Greuther Fürth · Bundesliga
Finland24y
KP/901.12
G/900.00
Small Sample
Last 5: ↓ Dip79% match
N/A
#11
Y
Yusuf Yazıcı
Olympiacos F.C. · Ligue 1
Turkey29yContract 2027
KP/903.38
G/900.52
Creator
Last 5: → Stable78% match
€18.5M
#12
F
Fatih Kamaci
Dongen · Eredivisie
Netherlands36y
KP/900.00
G/900.43
77% 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 Pavel Gorelov.
Ask AI about Pavel Gorelov →Frequently Asked Questions
Who are the best alternatives to Pavel Gorelov?▼
The top alternatives to Pavel Gorelov based on AI DNA playing style analysis include: Martin Spelmann, Daniel Bisgard Haarbo, Salvador Blopa, Noah Fenyö, Yann Rollim. 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 Pavel Gorelov in 2026?▼
Players with a similar profile to Pavel Gorelov in 2026 include Martin Spelmann (N/A), Daniel Bisgard Haarbo (N/A), Salvador Blopa (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Pavel Gorelov play and who plays similarly?▼
Pavel Gorelov plays as a Midfielder. Players with a comparable positional profile include Martin Spelmann (Denmark, N/A); Daniel Bisgard Haarbo (Denmark, N/A); Salvador Blopa (Portugal, N/A); Noah Fenyö (Hungary, 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.