RisingTransfers
AI DNA Similarity

Best Alternatives to Sergej Milinkovic-Savic

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

Top 3 Alternatives to Sergej Milinkovic-Savic

  1. 1.Filip Kostić87% DNA match·Juventus€3.5M
  2. 2.Tomáš Souček87% DNA match·West Ham United€12.0M
  3. 3.Manuel Locatelli85% DNA match·Juventus€25.0M

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

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Intelligence Verdict

ShotsTop 2%
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Milinkovic-Savic remains one of football's most physically imposing box-to-box forces—a midfielder...

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Playing Style Analysis

CreatorCreative

Milinkovic-Savic remains one of football's most physically imposing box-to-box forces—a midfielder who wins aerial duels at a top-5% rate while still generating chances at a top-20% clip, a combination that almost no one at his position can match. His shot volume tells the real story: ranking in the top 5% for attempts per 90, he isn't just a distributor drifting through games—he's actively hunting the goal. The counterintuitive read here is his pass accuracy, which sits below the league average yet masks a player who attempts more progressive, risk-carrying balls than most; the incompletions are the price of ambition, not sloppiness. The three most similar players to Sergej Milinkovic-Savic by playing style are:

  • Filip Kostić(87% match)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.
  • Tomáš Souček(87% match)A Box-to-Box. Statistically, he stands out as a regular goalscorer (0.22 goals/90).
  • Manuel Locatelli(85% match)Locatelli has spent years being the midfielder that makes everything work without ever making the highlight reel—and the numbers finally prove why that matters. Operating in Serie A's congested midfield battles, he ranks in the top 5% for passes per 90, tackles won, press intensity, and passes into the final third simultaneously; finding a player who dominates all four categories at once is genuinely rare. The counterintuitive read here is his goal contribution figures, which look pedestrian until you understand he's essentially the engine redistributing possession upward—those 15-plus progressive passes per 90 are what create the chances others finish.

Transfer Intelligence

Filip Kostić delivers 87% of the same playing style, at 77% lower cost (€3.5M vs €15.0M), with 1.95 key passes per 90 at age 33.

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

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Comparison Base
Sergej Milinkovic-Savic
MidfielderSerbia€15.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
F
Filip Kostić
Juventus · Serie A
Serbia33yContract 2026
KP/901.95
G/900.59
CreatorCreative
vs Milinkovic-Savic: €12M cheaper · 2y older
87% match
€3.5M
#2
T
Tomáš Souček
West Ham United · Premier League
Czech Republic31yContract 2027
KP/900.44
G/900.22
Box-to-Box
Last 5: ↓ Dip
87% match
€12.0M
#3
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
vs Milinkovic-Savic: €10M more expensive · 3y younger
85% match
€25.0M
#4
S
Sandi Lovrić
Hellas Verona · Serie A
Slovenia28yContract 2027
KP/900.94
G/900.00
Creator
85% match
€6.0M
#5
C
Charles De Ketelaere
Atalanta · Serie A
Belgium25yContract 2028
KP/902.53
G/900.06
CreatorCreative
Last 5: → Stable
84% match
€35.0M
#6
K
Khéphren Thuram
Juventus · Serie A
France25yContract 2029
KP/901.22
G/900.00
Chance Creator
85% match
€40.0M
#7
L
Lennon Miller
Udinese · Serie A
Scotland19yContract 2030
KP/901.22
G/900.00
Box-to-BoxDefensive
Last 5: ↑ Hot
84% match
€8.0M
#8
J
Jens Odgaard
Bologna · Serie A
Denmark27yContract 2027
KP/900.76
G/900.33
CreatorSmall Sample
Last 5: ↑ Hot
84% match
€15.0M
#9
C
Cesare Casadei
Torino · Serie A
Italy23yContract 2029
KP/900.54
G/900.27
Ball-Winner
84% match
€14.0M
#10
A
Andrija Maksimovic
RB Leipzig · Bundesliga
Serbia18yContract 2030
KP/900.64
G/900.00
Small Sample
84% match
€15.0M
#11
G
Granit Xhaka
Sunderland · Premier League
Switzerland33yContract 2028
KP/901.13
G/900.03
Metronome
Last 5: → Stable
84% match
€10.0M
#12
N
Nikola Vlašić
Torino · Serie A
Croatia28yContract 2027
KP/901.59
G/900.20
CreatorCreative
Last 5: → Stable
84% match
€9.0M

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 Sergej Milinkovic-Savic.

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Frequently Asked Questions

Who are the best alternatives to Sergej Milinkovic-Savic?
The top alternatives to Sergej Milinkovic-Savic based on AI DNA playing style analysis include: Filip Kostić, Tomáš Souček, Manuel Locatelli, Sandi Lovrić, Charles De Ketelaere. 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 Sergej Milinkovic-Savic in 2026?
Players with a similar profile to Sergej Milinkovic-Savic in 2026 include Filip Kostić (€3.5M), Tomáš Souček (€12.0M), Manuel Locatelli (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sergej Milinkovic-Savic play and who plays similarly?
Sergej Milinkovic-Savic plays as a Midfielder. Players with a comparable positional profile include Filip Kostić (Serbia, €3.5M); Tomáš Souček (Czech Republic, €12.0M); Manuel Locatelli (Italy, €25.0M); Sandi Lovrić (Slovenia, €6.0M).
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.