RisingTransfers
AI DNA Similarity

Best Alternatives to Mateo Kovacic 

Players most similar to Mateo Kovacic  (Midfielder, €15.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mateo Kovacic 

  1. 1.Luka Modrić87% DNA match·AC Milan€4.0M
  2. 2.Casemiro85% DNA match·Manchester United€8.0M
  3. 3.Bernardo Silva  86% DNA match·Manchester City€27.0M

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

RT

Intelligence Verdict

GoalsTop 13%
???Bottom 24%

A Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

MetronomeDefensive

A Metronome. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a regular goalscorer (0.25 goals/90), an aggressive ball-winner (2.8 tackles/90), meticulous in distribution (93% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (76 passes/90), penetrates with forward passing (10.2 final-third passes/90), central to possession (90 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. The three most similar players to Mateo Kovacic  by playing style are:

  • Luka Modrić(87% match)A Metronome. Statistically, he stands out as a capable chance creator (1.5 key passes/90), a reliable supplier (0.15 assists/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (61 passes/90), penetrates with forward passing (9.3 final-third passes/90), central to possession (77 touches/90), switches play with precision (6.8 long balls/90, 78% accuracy) and active off the ball (2.9 press score/90), contributing to defensive transitions. Note: this profile is based on 609 minutes of playing time this season.
  • Casemiro(85% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a regular goalscorer (0.36 goals/90), an aggressive ball-winner (3.2 tackles/90), penetrates with forward passing (8.4 final-third passes/90), central to possession (74 touches/90), uses long balls frequently (5.5/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Bernardo Silva  (86% match)A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.5 key passes/90), meticulous in distribution (90% pass accuracy), heavily involved in possession (68 passes/90), central to possession (82 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 20% creator in the league.

Transfer Intelligence

Luka Modrić delivers 87% of the same playing style, at 73% lower cost (€4.0M vs €15.0M), with 1.48 key passes per 90 at age 40.

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

M
Comparison Base
Mateo Kovacic 
MidfielderCroatia€15.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
L
Luka Modrić
AC Milan · Serie A
Croatia40yContract 2026
KP/901.48
G/900.00
MetronomeSmall Sample
Last 5: → Stable
vs Kovacic : €11M cheaper · 8y older
87% match
€4.0M
#2
C
Casemiro
Manchester United · Premier League
Brazil34yContract 2026
KP/901.22
G/900.36
Ball-WinnerDefensive
Last 5: → Stable
vs Kovacic : €7M cheaper · 2y older
85% match
€8.0M
#3
B
Bernardo Silva  
Manchester City · Premier League
Portugal31yContract 2026
KP/901.54
G/900.07
CreatorCreative
Last 5: ↑ Hot
vs Kovacic : €12M more expensive
86% match
€27.0M
#4
E
Enzo Fernández
Chelsea · Premier League
Argentina25yContract 2032
KP/901.99
G/900.28
CreatorCreative
Last 5: ↑ Hot
85% match
€90.0M
#5
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable
85% match
€100.0M
#6
Y
Youri Tielemans
Aston Villa · Premier League
Belgium29yContract 2027
KP/901.49
G/900.00
Box-to-BoxDefensive
Last 5: ↓ Dip
85% match
€35.0M
#7
A
Aurélien Tchouaméni
Real Madrid · La Liga
France26yContract 2028
KP/900.70
G/900.06
Metronome
Last 5: ↓ Dip
84% match
€75.0M
#8
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
84% match
€25.0M
#9
S
Sandro Tonali
Newcastle United · Premier League
Italy26yContract 2028
KP/901.12
G/900.00
Ball-Winner
Last 5: → Stable
84% match
€80.0M
#10
N
Nico González
Manchester City · Premier League
Spain24yContract 2029
KP/900.61
G/900.06
Metronome
Last 5: ↑ Hot
84% match
€45.0M
#11
N
Nikola Vlašić
Torino · Serie A
Croatia28yContract 2027
KP/901.59
G/900.20
CreatorCreative
Last 5: → Stable
84% match
€9.0M
#12
R
Roméo Lavia
Chelsea · Premier League
Belgium22yContract 2030
KP/900.24
G/900.00
Box-to-BoxSmall Sample
Last 5: ↑ Hot
84% match
€30.0M

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 Mateo Kovacic .

Ask AI about Mateo Kovacic 

Frequently Asked Questions

Who are the best alternatives to Mateo Kovacic ?
The top alternatives to Mateo Kovacic  based on AI DNA playing style analysis include: Luka Modrić, Casemiro, Bernardo Silva  , Enzo Fernández, Dominik Szoboszlai. 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 Mateo Kovacic  in 2026?
Players with a similar profile to Mateo Kovacic  in 2026 include Luka Modrić (€4.0M), Casemiro (€8.0M), Bernardo Silva   (€27.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mateo Kovacic  play and who plays similarly?
Mateo Kovacic  plays as a Midfielder. Players with a comparable positional profile include Luka Modrić (Croatia, €4.0M); Casemiro (Brazil, €8.0M); Bernardo Silva   (Portugal, €27.0M); Enzo Fernández (Argentina, €90.0M).
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.