RisingTransfers
AI DNA Similarity

Best Alternatives to Filip Kostić

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

Top 3 Alternatives to Filip Kostić

  1. 1.Lazar Samardžić86% DNA match·Atalanta€15.0M
  2. 2.Ivan Ilić85% DNA match·Torino€10.0M
  3. 3.Saša Lukić85% DNA match·Fulham€12.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Creator....

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Playing Style Analysis

CreatorCreativeDefensiveSmall Sample

A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a proven goalscorer (0.59 goals/90), a reliable supplier (0.20 assists/90), an aggressive ball-winner (3.3 tackles/90), wins the physical battle (58% duel success), wins the ball cleanly (1.9 successful tackles/90), central to possession (77 touches/90), active off the ball (3.0 press score/90), contributing to defensive transitions, top 10% creator in the league and top 10% tackler in the league. Note: this profile is based on 461 minutes of playing time this season. The three most similar players to Filip Kostić by playing style are:

  • Lazar Samardžić(86% match)A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.5 key passes/90), a reliable supplier (0.23 assists/90), central to possession (71 touches/90), switches play with precision (6.1 long balls/90, 80% accuracy) and top 10% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90).
  • Ivan Ilić(85% match)Ilić is the kind of midfielder who makes the game look slower than it is—not because he's languid, but because he's almost always in the right place before the problem arrives. His interceptions and key passes both sit in the top 20% of Serie A midfielders, a rare pairing that signals genuine two-way intelligence rather than a specialist's one-trick value. Here's the counterintuitive part: his duel win rate sits in the bottom 10%, which looks damning until you realize that a midfielder winning this many interceptions rarely needs to win duels—he's already cut the pass off.
  • Saša Lukić(85% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), active in the tackle (2.4 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in play (54 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. However, he prone to committing fouls (2.7/90).

Transfer Intelligence

Lazar Samardžić delivers 86% of the same playing style, at a 329% premium over Filip Kostić, with 2.64 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 →

F
Comparison Base
Filip Kostić
MidfielderSerbia€3.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
L
Lazar Samardžić
Atalanta · Serie A
Germany24yContract 2029
KP/902.64
G/900.22
CreatorCreative
Last 5: → Stable
vs Kostić: €12M more expensive · 9y younger
86% match
€15.0M
#2
I
Ivan Ilić
Torino · Serie A
Serbia25yContract 2027
KP/901.73
G/900.00
Creative Playmaker
vs Kostić: €7M more expensive · 8y younger
85% match
€10.0M
#3
S
Saša Lukić
Fulham · Premier League
Serbia29yContract 2027
KP/901.48
G/900.06
Box-to-Box
Last 5: → Stable
vs Kostić: €9M more expensive · 4y younger
85% match
€12.0M
#4
N
Nikola Vlašić
Torino · Serie A
Croatia28yContract 2027
KP/901.59
G/900.20
CreatorCreative
Last 5: → Stable
84% match
€9.0M
#5
I
Ismaël Koné
Sassuolo · Serie A
Canada23yContract 2030
KP/900.68
G/900.34
Box-to-BoxSmall Sample
Last 5: ↓ Dip
84% match
€14.0M
#6
S
Sandi Lovrić
Hellas Verona · Serie A
Slovenia28yContract 2027
KP/900.94
G/900.00
Creator
84% match
€6.0M
#7
M
Mario Pašalić
Atalanta · Serie A
Croatia31yContract 2028
KP/901.75
G/900.10
Creative Playmaker
Last 5: ↓ Dip
84% match
€7.0M
#8
J
Jurgen Ekkelenkamp
Udinese · Serie A
Netherlands26yContract 2029
KP/901.41
G/900.19
Creator
Last 5: → Stable
84% match
€7.0M
#9
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
83% match
€25.0M
#10
D
Davide Zappacosta
Atalanta · Serie A
Italy33yContract 2026
KP/901.44
G/900.07
Creator
Last 5: → Stable
83% match
€3.5M
#11
A
Andrija Maksimovic
RB Leipzig · Bundesliga
Serbia18yContract 2030
KP/900.64
G/900.00
Small Sample
84% match
€15.0M
#12
C
Charles De Ketelaere
Atalanta · Serie A
Belgium25yContract 2028
KP/902.53
G/900.06
CreatorCreative
Last 5: → Stable
83% match
€35.0M

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 Filip Kostić.

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Frequently Asked Questions

Who are the best alternatives to Filip Kostić?
The top alternatives to Filip Kostić based on AI DNA playing style analysis include: Lazar Samardžić, Ivan Ilić, Saša Lukić, Nikola Vlašić, Ismaël Koné. 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 Filip Kostić in 2026?
Players with a similar profile to Filip Kostić in 2026 include Lazar Samardžić (€15.0M), Ivan Ilić (€10.0M), Saša Lukić (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Filip Kostić play and who plays similarly?
Filip Kostić plays as a Midfielder. Players with a comparable positional profile include Lazar Samardžić (Germany, €15.0M); Ivan Ilić (Serbia, €10.0M); Saša Lukić (Serbia, €12.0M); Nikola Vlašić (Croatia, €9.0M).
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.