RisingTransfers
AI DNA Similarity

Best Alternatives to Igor Miladinovic

Players most similar to Igor Miladinovic (Midfielder, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Igor Miladinovic

  1. 1.Denis Huseinbasic86% DNA match·FC Köln€3.0M
  2. 2.Leon Avdullahu84% DNA match·TSG Hoffenheim€17.0M
  3. 3.Andrija Maksimovic85% DNA match·RB Leipzig€15.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

DribblesTop 1%
???Bottom 0%

A Metronome....

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Playing Style Analysis

MetronomeDefensive

A Metronome. Statistically, he stands out as a capable chance creator (1.1 key passes/90), an aggressive ball-winner (2.7 tackles/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (63 passes/90), wins the ball cleanly (2.0 successful tackles/90), central to possession (80 touches/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. The three most similar players to Igor Miladinovic by playing style are:

  • Denis Huseinbasic(86% match)A Balanced Midfielder. Statistically, he stands out as active in the tackle (2.2 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (62% duel success), heavily involved in play (62 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 721 minutes of playing time this season.
  • Leon Avdullahu(84% match)A Metronome. Statistically, he stands out as active in the tackle (2.0 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (66 passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (77 touches/90), uses long balls frequently (5.4/90) and a high-intensity presser (press score 3.5/90), constantly disrupting opposition build-up. Note: this profile is based on 529 minutes of playing time this season.
  • Andrija Maksimovic(85% match)Maksimovic is the rare Bundesliga midfielder who shoots like a forward but passes like a deep-lying playmaker—a statistical contradiction that makes him genuinely difficult to categorise. His shot volume sits in the top 5% among midfielders in the league, yet his key pass rate is merely average, suggesting he's pulling the trigger himself rather than threading others through. The pass accuracy of 85.8% places him in the top 20%, which sounds clean until you notice his press intensity is below average—he's tidy in possession, not a disruptor of it.

Transfer Intelligence

Denis Huseinbasic delivers 86% of the same playing style, with 0.79 key passes per 90 at age 24.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

I
Comparison Base
Igor Miladinovic
MidfielderSerbia€3.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
D
Denis Huseinbasic
FC Köln · Bundesliga
Germany24yContract 2027
KP/900.79
G/900.00
Balanced MidfielderSmall Sample
vs Miladinovic: 2y older
86% match
€3.0M
#2
L
Leon Avdullahu
TSG Hoffenheim · Bundesliga
Switzerland22yContract 2029
KP/901.02
G/900.00
MetronomeSmall Sample
Last 5: ↑ Hot
vs Miladinovic: €14M more expensive
84% match
€17.0M
#3
A
Andrija Maksimovic
RB Leipzig · Bundesliga
Serbia18yContract 2030
KP/900.64
G/900.00
Small Sample
vs Miladinovic: €12M more expensive · 4y younger
85% match
€15.0M
#4
A
Antoni Milambo
Brentford · Premier League
Netherlands21yContract 2030
KP/901.22
G/900.14
Creator
84% match
€20.0M
#5
L
Luis Milla
Getafe · La Liga
Spain31yContract 2027
KP/902.77
G/900.00
Box-to-BoxCreative
Last 5: → Stable
85% match
€3.5M
#6
E
Elvis Rexhbecaj
FC Augsburg · Bundesliga
Kosovo28yContract 2026
KP/901.02
G/900.00
Balanced Midfielder
85% match
€3.5M
#7
A
Aleksandar Pavlovic
FC Bayern München · Bundesliga
Germany22yContract 2029
KP/901.30
G/900.08
Metronome
Last 5: → Stable
85% match
€75.0M
#8
D
David Santos Daiber
FC Bayern München · Bundesliga
Portugal19yContract 2027
KP/901.50
G/900.00
Ball-WinnerCreative
85% match
€3.0M
#9
L
Lorenzo Bernasconi
Atalanta · Serie A
Italy22yContract 2028
KP/901.25
G/900.00
Creative Playmaker
Last 5: ↑ Hot
84% match
€4.0M
#10
S
Sotiris Alexandropoulos
Fortuna Düsseldorf · Bundesliga
Greece24yContract 2026
KP/901.34
G/900.00
Box-to-BoxDefensive
Last 5: ↓ Dip
84% match
€4.5M
#11
D
Danel Sinani
St. Pauli · Bundesliga
Luxembourg29y
KP/902.13
G/900.43
CreatorCreative
84% match
€3.0M
#12
S
Sandi Lovrić
Hellas Verona · Serie A
Slovenia28yContract 2027
KP/900.94
G/900.00
Creator
83% match
€6.0M

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 Igor Miladinovic.

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Frequently Asked Questions

Who are the best alternatives to Igor Miladinovic?
The top alternatives to Igor Miladinovic based on AI DNA playing style analysis include: Denis Huseinbasic, Leon Avdullahu, Andrija Maksimovic, Antoni Milambo, Luis Milla. 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 Igor Miladinovic in 2026?
Players with a similar profile to Igor Miladinovic in 2026 include Denis Huseinbasic (€3.0M), Leon Avdullahu (€17.0M), Andrija Maksimovic (€15.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Igor Miladinovic play and who plays similarly?
Igor Miladinovic plays as a Midfielder. Players with a comparable positional profile include Denis Huseinbasic (Germany, €3.0M); Leon Avdullahu (Switzerland, €17.0M); Andrija Maksimovic (Serbia, €15.0M); Antoni Milambo (Netherlands, €20.0M).
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.