RisingTransfers
AI DNA Similarity

Best Alternatives to Jan-Carlo Simić

Players most similar to Jan-Carlo Simić (Defender, €6.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jan-Carlo Simić

  1. 1.Anel Ahmedhodzic84% DNA match·Feyenoord€12.0M
  2. 2.Veljko Milosavljevic84% DNA match·AFC Bournemouth€20.0M
  3. 3.Youssouf Ndayishimiye 83% DNA match·Nice€8.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

Simić is a ball-playing defender whose value lives entirely in his feet...

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Playing Style Analysis

Aerial Defender

Simić is a ball-playing defender whose value lives entirely in his feet, not his boots. Operating in the Pro League, his 91.7% pass accuracy lands him in the top 20% among defenders, and his 60.2 passes per 90 sits inside the top 10%—this isn't a man who clears his lines and moves on. Here's the counterintuitive read: his bottom-10% press intensity looks damning until you realise high-volume passers in structured systems are often deliberately shielded from pressing duties. The three most similar players to Jan-Carlo Simić by playing style are:

  • Anel Ahmedhodzic(84% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.0 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (60% duel success), central to possession (72 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
  • 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.
  • Youssouf Ndayishimiye (83% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), commanding in the air (5.3 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (61 passes/90) and central to possession (75 touches/90).

Transfer Intelligence

Anel Ahmedhodzic delivers 84% of the same playing style, at a 100% premium over Jan-Carlo Simić, with 1.10 tackles won per 90 at age 27.

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

J
Comparison Base
Jan-Carlo Simić
DefenderSerbia€6.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Simić: €6M more expensive · 6y older
84% match
€12.0M
#2
V
Veljko Milosavljevic
AFC Bournemouth · Premier League
Serbia18yContract 2030
Tkl/901.23
KP/900.24
Aerial Defender
vs Simić: €14M more expensive · 3y younger
84% match
€20.0M
#3
Y
Youssouf Ndayishimiye 
Nice · Ligue 1
Burundi27yContract 2027
Tkl/901.95
KP/900.20
Ball-Playing CBBall-Playing
vs Simić: 6y older
83% match
€8.0M
#4
Z
Zeno Debast
Sporting CP · Liga Portugal
Belgium22yContract 2029
Tkl/901.22
KP/900.46
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€30.0M
#5
A
Abdülkerim Bardakcı
Galatasaray · Super Lig
Turkey31yContract 2027
Tkl/901.45
KP/900.56
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
82% match
€6.5M
#6
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€22.0M
#7
A
Amar Dedić
Benfica · Liga Portugal
Bosnia and Herzegovina23yContract 2030
Tkl/901.72
KP/901.15
Active Full-Back
Last 5: → Stable
82% match
€15.0M
#8
M
Manuel Akanji
Inter · Serie A
Switzerland30yContract 2026
Tkl/901.47
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
82% match
€22.0M
#9
B
Berat Djimsiti
Atalanta · Serie A
Albania33yContract 2026
Tkl/901.93
KP/900.19
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€5.0M
#10
K
Kosta Nedeljkovic
RB Leipzig · Bundesliga
Serbia20yContract 2026
Tkl/900.36
KP/900.00
Small Sample
83% match
€8.0M
#11
J
Joël Schmied
FC Köln · Bundesliga
Switzerland27yContract 2029
Tkl/900.69
KP/900.00
Ball-Playing CBSmall Sample
83% match
€3.5M
#12
A
Ardian Ismajli
Torino · Serie A
Albania29yContract 2027
Tkl/902.25
KP/900.38
Physical StopperAerial
83% match
€6.0M

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 Jan-Carlo Simić.

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Frequently Asked Questions

Who are the best alternatives to Jan-Carlo Simić?
The top alternatives to Jan-Carlo Simić based on AI DNA playing style analysis include: Anel Ahmedhodzic, Veljko Milosavljevic, Youssouf Ndayishimiye , Zeno Debast, Abdülkerim Bardakcı. 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 Jan-Carlo Simić in 2026?
Players with a similar profile to Jan-Carlo Simić in 2026 include Anel Ahmedhodzic (€12.0M), Veljko Milosavljevic (€20.0M), Youssouf Ndayishimiye  (€8.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jan-Carlo Simić play and who plays similarly?
Jan-Carlo Simić plays as a Defender. Players with a comparable positional profile include Anel Ahmedhodzic (Bosnia and Herzegovina, €12.0M); Veljko Milosavljevic (Serbia, €20.0M); Youssouf Ndayishimiye  (Burundi, €8.0M); Zeno Debast (Belgium, €30.0M).
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.