AI DNA Similarity
Best Alternatives to Darko Lazović
Players most similar to Darko Lazović (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Midfielder in UAE Pro League. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a reliable supplier (0.18 assists/90). The three most similar players to Darko Lazović by playing style are:
- Diogo Ferreira Prioste(89% match) — A Midfielder in Liga Portugal. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a reliable supplier (0.17 assists/90).
- Ui-jo Hwang(89% match) — A Creator in Super Lig. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a prolific assist provider (0.28 assists/90).
- Atalay Babacan(89% match) — A Balanced Midfielder in Super Lig. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a reliable supplier (0.20 assists/90), heavily involved in play (54 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% creator in the league.
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
D
Diogo Ferreira Prioste
Benfica · Liga Portugal
Portugal22y
KP/901.18
G/900.00
Small Sample
89% match
N/A
#2
U
Ui-jo Hwang
Alanyaspor · Super Lig
South Korea33yContract 2027
KP/901.19
G/900.19
Creator
Last 5: → Stable89% match
€4.0M
#3
A
Atalay Babacan
Ümraniyespor · Super Lig
Turkey25yContract 2025
KP/901.01
G/900.05
Balanced Midfielder
Last 5: → Stable89% match
N/A
#4
A
Amin Cherni
Göztepe · Super Lig
France24y
KP/901.49
G/900.00
Creator
Last 5: → Stable88% match
N/A
#5
B
Barış Kalaycı
Fatih Karagümrük · Super Lig
Germany20y
KP/901.19
G/900.09
Creator
Last 5: → Stable88% match
N/A
#6
M
M. Nielsen
Hobro · Superliga
Denmark21y
KP/900.98
G/900.06
Balanced Midfielder
88% match
N/A
#7
E
Ensar Kemaloğlu
Gençlerbirliği · Super Lig
Turkey27yContract 2027
KP/901.42
G/900.00
Creator
88% match
N/A
#8
T
Tijjani Reijnders
Manchester City · Premier League
Netherlands27yContract 2030
KP/901.08
G/900.30
88% match
€60.0M
#9
A
Antoni Milambo
Brentford · Premier League
Netherlands20yContract 2030
KP/901.22
G/900.14
Creator
88% match
€20.0M
#10
V
Victor Froholdt
Porto · Liga Portugal
Denmark20yContract 2030
KP/900.99
G/900.16
Balanced Midfielder
Last 5: ↑ Hot87% match
€30.0M
#11
A
Alan de Souza Guimarães
Moreirense · Liga Portugal
Brazil26yContract 2026
KP/901.38
G/900.13
Creator
Last 5: → Stable87% match
N/A
#12
M
Mateusz Legowski
Eyüpspor · Super Lig
Poland23y
KP/901.13
G/900.00
Ball-Winner
Last 5: ↓ Dip88% match
€3.0M
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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 Darko Lazović.
Ask AI about Darko Lazović →Frequently Asked Questions
Who are the best alternatives to Darko Lazović?▼
The top alternatives to Darko Lazović based on AI DNA playing style analysis include: Diogo Ferreira Prioste, Ui-jo Hwang, Atalay Babacan, Amin Cherni, Barış Kalaycı. 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 Darko Lazović in 2026?▼
Players with a similar profile to Darko Lazović in 2026 include Diogo Ferreira Prioste (N/A), Ui-jo Hwang (€4.0M), Atalay Babacan (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Darko Lazović play and who plays similarly?▼
Darko Lazović plays as a Midfielder. Players with a comparable positional profile include Diogo Ferreira Prioste (Portugal, N/A); Ui-jo Hwang (South Korea, €4.0M); Atalay Babacan (Turkey, N/A); Amin Cherni (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.