AI DNA Similarity
Best Alternatives to Miku Fedor
Players most similar to Miku Fedor (Attacker, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Nicolás Ladislao Fedor Flores is a Complete Forward. Versatile attacker combining goals, creativity and work rate. The three most similar players to Miku Fedor by playing style are:
- Nikolas Agrafiotis(85% match) — Nikolas Agrafiotis is a Complete Forward. Versatile attacker combining goals, creativity and work rate.
- Nemanja Radonjić(84% match) — Nemanja Radonjić is a Complete Forward. Versatile attacker combining goals, creativity and work rate.
- Federico Chiesa(84% match) — Federico Chiesa is a Complete Forward. Versatile attacker combining goals, creativity and work rate.
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
N
Nikolas Agrafiotis
Wehen Wiesbaden · Bundesliga
Serbia25y
G/900.21
A/900.00
Complete ForwardSmall Sample
85% match
N/A
#2
N
Nemanja Radonjić
Crvena Zvezda · La Liga
Serbia30yContract 2026
G/900.00
A/900.00
Complete ForwardDribbler
84% match
€1.7M
#3
F
Federico Chiesa
Liverpool · Premier League
Italy28yContract 2028
G/900.63
A/900.32
Complete ForwardSmall Sample
84% match
€18.0M
#4
V
Victor Osimhen
Galatasaray · Super Lig
Nigeria27yContract 2029
G/900.81
A/900.25
Complete ForwardProlific
83% match
€75.0M
#5
A
André Becker
Ulm · Bundesliga
Germany29yContract 2028
G/900.00
A/900.00
Complete ForwardSmall Sample
83% match
N/A
#6
C
Cucho Hernández
Real Betis · La Liga
Colombia26yContract 2030
G/900.36
A/900.13
Complete Forward
Last 5: ↓ Dip82% match
€18.0M
#7
R
Rafa Mir
Elche · La Liga
Spain28yContract 2026
G/900.45
A/900.00
Complete ForwardProlific
Last 5: ↑ Hot82% match
€4.0M
#8
C
Christopher Nkunku
AC Milan · Serie A
France28yContract 2030
G/900.44
A/900.27
Complete ForwardProlific
Last 5: ↓ Dip82% match
€32.0M
#9
K
Koen Kostons
PEC Zwolle · Eredivisie
Netherlands26yContract 2029
G/900.43
A/900.23
Complete ForwardProlific
82% match
N/A
#10
A
Alexis Sánchez
Sevilla · La Liga
Chile37yContract 2026
G/900.25
A/900.08
Complete Forward
Last 5: → Stable83% match
€34.0M
#11
I
Ivan Cavaleiro
Tondela · Liga Portugal
Angola32y
G/900.21
A/900.00
Complete ForwardSmall Sample
82% match
€11.8M
#12
A
Adrian Justinussen
Hillerød · Superliga
Faroe Islands27y
G/900.59
A/900.18
Complete ForwardProlific
82% 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 Miku Fedor.
Ask AI about Miku Fedor →Frequently Asked Questions
Who are the best alternatives to Miku Fedor?▼
The top alternatives to Miku Fedor based on AI DNA playing style analysis include: Nikolas Agrafiotis, Nemanja Radonjić, Federico Chiesa, Victor Osimhen, André Becker. 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 Miku Fedor in 2026?▼
Players with a similar profile to Miku Fedor in 2026 include Nikolas Agrafiotis (N/A), Nemanja Radonjić (€1.7M), Federico Chiesa (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Miku Fedor play and who plays similarly?▼
Miku Fedor plays as a Attacker. Players with a comparable positional profile include Nikolas Agrafiotis (Serbia, N/A); Nemanja Radonjić (Serbia, €1.7M); Federico Chiesa (Italy, €18.0M); Victor Osimhen (Nigeria, €75.0M).
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.