RisingTransfers
AI DNA Similarity

Best Alternatives to Luka Milivojevic

Players most similar to Luka Milivojevic (Midfielder, €15.1M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Luka Milivojevic

  1. 1.Ilia Gruev84% DNA match·Leeds United€9.0M
  2. 2.Lucas Torreira82% DNA match·Galatasaray€12.0M
  3. 3.Ramiz Zerrouki82% DNA match·FC Twente€7.2M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 14%

Milivojevic has reinvented himself in the UAE as the quintessential deep-lying conductor—a...

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Playing Style Analysis

Metronome

Milivojevic has reinvented himself in the UAE as the quintessential deep-lying conductor—a 30-something veteran who no longer chases the game but instead dictates its tempo from the base of midfield. His 92.5% pass accuracy and 63.3 passes per 90 both sit in the top 5% of the league, and crucially, over 10 of those passes per 90 penetrate the final third—a figure that places him in the top 10%. Here's the counterintuitive part: his below-average key passes suggest a player who doesn't create directly, yet his progressive passing volume quietly unlocks attacks before the final ball even happens. The three most similar players to Luka Milivojevic by playing style are:

  • Ilia Gruev(84% match)A Ball-Winner. Statistically, he stands out as naturally left-footed, a reliable supplier (0.20 assists/90), meticulous in distribution (90% pass accuracy) and heavily involved in play (51 touches/90).
  • Lucas Torreira(82% match)Torreira remains one of European football's most fascinating career arcs—a former Arsenal and Atlético midfielder now orchestrating from a B-tier Turkish setup, yet still playing like someone who never left the elite. His passing volume is extraordinary: 62.8 passes per 90 puts him in the top 5% of Super Lig midfielders, and crucially, he's doing it at 90% accuracy—not just recycling, but progressing the ball with purpose into the final third at a top-20% rate. The counterintuitive story here is his defensive numbers: interceptions look average, but his tackle win rate and press intensity suggest a player who disrupts through positioning and anticipation rather than reactive hunting.
  • Ramiz Zerrouki(82% match)A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), active in the tackle (2.3 tackles/90), penetrates with forward passing (11.6 final-third passes/90), central to possession (73 touches/90), switches play with precision (7.7 long balls/90, 63% accuracy) and active off the ball (2.8 press score/90), contributing to defensive transitions.

Transfer Intelligence

Ilia Gruev delivers 84% of the same playing style, at 40% lower cost (€9.0M vs €15.1M), with 0.75 key passes per 90 at age 26.

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

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Comparison Base
Luka Milivojevic
MidfielderSerbia€15.1M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
I
Ilia Gruev
Leeds United · Premier League
Bulgaria26yContract 2027
KP/900.75
G/900.00
Ball-Winner
Last 5: ↓ Dip
vs Milivojevic: €6M cheaper · 9y younger
84% match
€9.0M
#2
L
Lucas Torreira
Galatasaray · Super Lig
Uruguay30yContract 2028
KP/900.97
G/900.12
Metronome
Last 5: ↓ Dip
vs Milivojevic: 5y younger
82% match
€12.0M
#3
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
vs Milivojevic: €8M cheaper · 8y younger
82% match
€7.2M
#4
L
Luka Modrić
AC Milan · Serie A
Croatia40yContract 2026
KP/901.48
G/900.00
MetronomeSmall Sample
Last 5: → Stable
82% match
€4.0M
#5
A
Antoni Milambo
Brentford · Premier League
Netherlands21yContract 2030
KP/901.22
G/900.14
Creator
82% match
€20.0M
#6
M
Moatasem Al-Musrati
Hellas Verona · Serie A
Libya30yContract 2026
KP/900.69
G/900.00
Ball-WinnerSmall Sample
83% match
€7.0M
#7
S
Saša Lukić
Fulham · Premier League
Serbia29yContract 2027
KP/901.48
G/900.06
Box-to-Box
Last 5: → Stable
83% match
€12.0M
#8
A
Amine Harit
İstanbul Başakşehir · Super Lig
Morocco28y
KP/902.21
G/900.12
Box-to-BoxCreative
Last 5: ↓ Dip
82% match
€5.0M
#9
D
Danilo Cataldi
Lazio · Serie A
Italy31yContract 2027
KP/901.06
G/900.14
Ball-Winner
81% match
€3.5M
#10
M
Marko Grujić
AEK Athens · Liga Portugal
Serbia30y
KP/901.95
G/900.49
MetronomeDefensive
81% match
€9.0M
#11
M
Marc Aguado
Elche · La Liga
Spain26yContract 2027
KP/900.31
G/900.00
Ball-Winner
Last 5: ↑ Hot
81% match
€3.0M
#12
G
Granit Xhaka
Sunderland · Premier League
Switzerland33yContract 2028
KP/901.13
G/900.03
Metronome
Last 5: → Stable
81% match
€10.0M

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 Luka Milivojevic.

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Frequently Asked Questions

Who are the best alternatives to Luka Milivojevic?
The top alternatives to Luka Milivojevic based on AI DNA playing style analysis include: Ilia Gruev, Lucas Torreira, Ramiz Zerrouki, Luka Modrić, Antoni Milambo. 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 Luka Milivojevic in 2026?
Players with a similar profile to Luka Milivojevic in 2026 include Ilia Gruev (€9.0M), Lucas Torreira (€12.0M), Ramiz Zerrouki (€7.2M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Luka Milivojevic play and who plays similarly?
Luka Milivojevic plays as a Midfielder. Players with a comparable positional profile include Ilia Gruev (Bulgaria, €9.0M); Lucas Torreira (Uruguay, €12.0M); Ramiz Zerrouki (Algeria, €7.2M); Luka Modrić (Croatia, €4.0M).
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.