RisingTransfers
AI DNA Similarity

Best Alternatives to Matej Mitrović

Players most similar to Matej Mitrović (Defender, €3.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Matej Mitrović

  1. 1.Veljko Milosavljevic84% DNA match·AFC Bournemouth€20.0M
  2. 2.Nikola Milenković83% DNA match·Nottingham Forest€30.0M
  3. 3.Morato83% DNA match·Nottingham Forest€14.0M

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

RT

Intelligence Verdict

Dribbled PastTop 0%
???Bottom 0%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerialSmall Sample

A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.5 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (94% duel success), heavily involved in possession (60 passes/90), central to possession (71 touches/90) and uses long balls frequently (7.7/90). Note: this profile is based on 608 minutes of playing time this season. The three most similar players to Matej Mitrović by playing style are:

  • Veljko Milosavljevic(84% match)Milosavljevic is the kind of defender who wins games through the pass rather than the tackle—a ball-playing centre-back whose value lives in the build-up phase, not the trenches. His passes into the final third rank in the top 20% of Premier League defenders, and his volume of 46.6 passes per 90 places him above most peers in possession-based systems. Here's the counterintuitive part: his aerial win *rate* sits below average, yet his aerial *volume* lands in the top 30%—he's contesting more duels than most, just not winning them cleanly.
  • Nikola Milenković(83% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.9 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (66% duel success) and uses long balls frequently (5.4/90).
  • Morato(83% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.1 tackles/90), commanding in the air (5.8 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (66% duel success), uses long balls frequently (6.8/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.

Transfer Intelligence

Veljko Milosavljevic delivers 84% of the same playing style, at a 471% premium over Matej Mitrović, with 1.23 tackles won per 90 at age 18.

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

M
Comparison Base
Matej Mitrović
DefenderCroatia€3.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
V
Veljko Milosavljevic
AFC Bournemouth · Premier League
Serbia18yContract 2030
Tkl/901.23
KP/900.24
Aerial Defender
vs Mitrović: €17M more expensive · 14y younger
84% match
€20.0M
#2
N
Nikola Milenković
Nottingham Forest · Premier League
Serbia28yContract 2029
Tkl/900.87
KP/900.03
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Mitrović: €27M more expensive · 4y younger
83% match
€30.0M
#3
M
Morato
Nottingham Forest · Premier League
Brazil24yContract 2029
Tkl/902.08
KP/900.15
Ball-Playing CBAerial
Last 5: ↓ Dip
vs Mitrović: €11M more expensive · 8y younger
83% match
€14.0M
#4
A
Adam Marusic
Lazio · Serie A
Montenegro33yContract 2026
Tkl/901.34
KP/900.36
Active Full-Back
Last 5: ↓ Dip
82% match
€3.0M
#5
J
Jorge Herrando
Osasuna · La Liga
Spain25yContract 2027
Tkl/901.61
KP/900.20
Ball-Playing CBAerial
Last 5: ↑ Hot
82% match
€3.5M
#6
M
Mërgim Vojvoda
Como · Serie A
Kosovo31yContract 2028
Tkl/900.60
KP/902.11
Active Full-BackSmall Sample
Last 5: ↓ Dip
82% match
€3.0M
#7
P
Pascal Struijk
Leeds United · Premier League
Netherlands26yContract 2027
Tkl/901.17
KP/900.38
Ball-Playing CBBall-Playing
Last 5: → Stable
81% match
€22.0M
#8
T
Tarik Muharemović
Sassuolo · Serie A
Bosnia and Herzegovina23yContract 2031
Tkl/901.36
KP/900.09
Ball-Playing CBAerial
Last 5: → Stable
81% match
€20.0M
#9
G
Guillermo Maripán
Torino · Serie A
Chile32yContract 2026
Tkl/902.54
KP/900.65
Physical StopperAerial
81% match
€3.0M
#10
E
Emmanuel Biumla
Angers SCO · Ligue 1
France21yContract 2028
Tkl/901.75
KP/900.00
Physical StopperAerial
81% match
N/A
#11
L
Lukas Klostermann
RB Leipzig · Bundesliga
Germany29yContract 2028
Tkl/901.37
KP/900.10
Ball-Playing CBBall-Playing
81% match
€3.5M
#12
D
Dimitrije Kamenovic
Lazio · Serie A
Serbia25yContract 2026
Tkl/900.20
KP/900.20
Active Full-BackAerial
Last 5: ↑ Hot
82% match
€3.0M

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 Matej Mitrović.

Ask AI about Matej Mitrović

Frequently Asked Questions

Who are the best alternatives to Matej Mitrović?
The top alternatives to Matej Mitrović based on AI DNA playing style analysis include: Veljko Milosavljevic, Nikola Milenković, Morato, Adam Marusic, Jorge Herrando. 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 Matej Mitrović in 2026?
Players with a similar profile to Matej Mitrović in 2026 include Veljko Milosavljevic (€20.0M), Nikola Milenković (€30.0M), Morato (€14.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Matej Mitrović play and who plays similarly?
Matej Mitrović plays as a Defender. Players with a comparable positional profile include Veljko Milosavljevic (Serbia, €20.0M); Nikola Milenković (Serbia, €30.0M); Morato (Brazil, €14.0M); Adam Marusic (Montenegro, €3.0M).
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.