AI DNA Similarity
Best Alternatives to Reza Shekari
Players most similar to Reza Shekari (Midfielder, €280K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Reza Shekari
- 1.Fatih Kamaci97% DNA match·Dongen
- 2.Abdoulie Njai96% DNA match·Kolding IF
- 3.Jeppe Andersen96% DNA match·Silkeborg IF
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
GoalsTop 12%
???Bottom 0%
“A Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
A Midfielder. Statistically, he stands out as a regular goalscorer (0.24 goals/90). The three most similar players to Reza Shekari by playing style are:
- Fatih Kamaci(97% match) — A Midfielder. Statistically, he stands out as a proven goalscorer (0.43 goals/90) and a reliable supplier (0.17 assists/90).
- Abdoulie Njai(96% match) — A Balanced Midfielder. Statistically, he stands out as a regular goalscorer (0.21 goals/90).
- Jeppe Andersen(96% match) — A Midfielder. Statistically, he stands out as a regular goalscorer (0.31 goals/90), meticulous in distribution (85% pass accuracy) and heavily involved in play (58 touches/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
F
Fatih Kamaci
Dongen · Eredivisie
Netherlands36y
KP/900.00
G/900.43
vs Shekari: 9y older
97% match
N/A
#2
A
Abdoulie Njai
Kolding IF · Superliga
Denmark28y
KP/900.49
G/900.21
Balanced Midfielder
96% match
N/A
#3
J
Jeppe Andersen
Silkeborg IF · Superliga
Denmark33yContract 2026
KP/900.62
G/900.31
vs Shekari: 6y older
96% match
N/A
#4
N
Nick Runderkamp
RKAV Volendam · Eredivisie
Netherlands29y
KP/900.00
G/900.15
94% match
N/A
#5
J
Jakob Vester
Viborg FF · Superliga
Denmark21yContract 2027
KP/900.81
G/900.54
Small Sample
Last 5: ↑ Hot94% match
N/A
#6
T
Tiago Freitas
Benfica · Liga Portugal
Portugal19y
KP/900.00
G/900.38
Small Sample
94% match
N/A
#7
A
Ablie Jallow
Servette · Ligue 1
Gambia27yContract 2028
KP/902.34
G/900.00
Balanced Midfielder
Last 5: ↓ Dip93% match
N/A
#8
N
Nils Fröling
Dynamo Dresden · Bundesliga
Sweden26y
KP/900.65
G/900.22
Creator
Last 5: ↑ Hot94% match
N/A
#9
V
Valdemar Møller Damgaard
Aalborg BK · Superliga
Denmark18y
KP/901.38
G/900.15
Creator
Last 5: → Stable93% match
N/A
#10
C
Callum Olusesi
Tottenham Hotspur · Premier League
England19y
KP/900.00
G/900.36
Small Sample
93% match
N/A
#11
D
Darko Lazović
Al Wahda · Serie A
Serbia35y
KP/901.07
G/900.12
93% match
N/A
#12
N
Noah Naujoks
Excelsior · Eredivisie
Netherlands24yContract 2027
KP/901.04
G/900.36
Balanced Midfielder
Last 5: → Stable93% 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 Reza Shekari.
Ask AI about Reza Shekari →Frequently Asked Questions
Who are the best alternatives to Reza Shekari?▼
The top alternatives to Reza Shekari based on AI DNA playing style analysis include: Fatih Kamaci, Abdoulie Njai, Jeppe Andersen, Nick Runderkamp, Jakob Vester. 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 Reza Shekari in 2026?▼
Players with a similar profile to Reza Shekari in 2026 include Fatih Kamaci (N/A), Abdoulie Njai (N/A), Jeppe Andersen (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Reza Shekari play and who plays similarly?▼
Reza Shekari plays as a Midfielder. Players with a comparable positional profile include Fatih Kamaci (Netherlands, N/A); Abdoulie Njai (Denmark, N/A); Jeppe Andersen (Denmark, N/A); Nick Runderkamp (Netherlands, 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.