RisingTransfers
AI DNA Similarity

Best Alternatives to Tin Jedvaj

Players most similar to Tin Jedvaj (Defender, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Tin Jedvaj

  1. 1.Mërgim Vojvoda83% DNA match·Como€3.0M
  2. 2.Marin Pongracic82% DNA match·Fiorentina€7.5M
  3. 3.Konstantinos Koulierakis82% DNA match·VfL Wolfsburg€25.0M

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

RT

Intelligence Verdict

GoalsTop 1%
???Bottom 9%

Jedvaj is a defensive chameleon who has evolved from a precocious Bundesliga wonderkid into a physically dominant...

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Playing Style Analysis

Aerial DefenderAerial Threat

Jedvaj is a defensive chameleon who has evolved from a precocious Bundesliga wonderkid into a physically dominant, goal-hungry center-back operating in the Greek Super League. While his 86.7% pass accuracy sits in the league’s middle ground, his true value lies in a rare combination of pure aggression and offensive instinct. He is currently an outlier in the final third, recording goals and shots in the top 5% of all defenders, making him a perennial threat on set pieces. The three most similar players to Tin Jedvaj by playing style are:

  • Mërgim Vojvoda(83% match)A Active Full-Back. Statistically, he stands out as an elite creator (2.1 key passes/90) and a reliable supplier (0.20 assists/90). Note: this profile is based on 896 minutes of playing time this season.
  • Marin Pongracic(82% match)Pongracic has carved out a niche in Serie A that most defenders can't claim: a ball-playing centre-back whose engine runs as hard as his passing. Sitting in the top 10% for both pass accuracy and pressing intensity, he's not just tidy in possession—he's actively disruptive without it, which is a rarer combination than the numbers suggest. His 61.7 passes per 90 places him in the top 5% of the league, yet the counterintuitive story here is that volume doesn't come at the cost of precision; this is a defender who genuinely moves teams up the pitch.
  • Konstantinos Koulierakis(82% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (6.3 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (56% duel success), central to possession (74 touches/90), uses long balls frequently (8.2/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.

Transfer Intelligence

Mërgim Vojvoda delivers 83% of the same playing style, at a 100% premium over Tin Jedvaj, with 0.60 tackles won per 90 at age 31.

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

T
Comparison Base
Tin Jedvaj
DefenderCroatia€1.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mërgim Vojvoda
Como · Serie A
Kosovo31yContract 2028
Tkl/900.60
KP/902.11
Active Full-BackSmall Sample
Last 5: ↓ Dip
83% match
€3.0M
#2
M
Marin Pongracic
Fiorentina · Serie A
Croatia28yContract 2029
Tkl/901.22
KP/900.28
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Jedvaj: €6M more expensive · 2y younger
82% match
€7.5M
#3
K
Konstantinos Koulierakis
VfL Wolfsburg · Bundesliga
Greece22yContract 2029
Tkl/901.46
KP/900.15
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Jedvaj: €24M more expensive · 8y younger
82% match
€25.0M
#4
L
Leonidas Stergiou
Heidenheim · Bundesliga
Switzerland24yContract 2026
Tkl/903.83
KP/900.00
Active Full-BackSmall Sample
82% match
€3.5M
#5
D
David Nemeth
St. Pauli · Bundesliga
Austria25yContract 2026
Tkl/901.89
KP/900.13
Ball-Playing CB
81% match
€4.0M
#6
S
Strahinja Pavlović
AC Milan · Serie A
Serbia24yContract 2028
Tkl/901.66
KP/900.51
Ball-Playing CBSmall Sample
Last 5: ↑ Hot
82% match
€28.0M
#7
L
Luka Vuskovic
Hamburger SV · Bundesliga
Croatia19yContract 2026
Tkl/900.86
KP/900.74
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
81% match
€40.0M
#8
M
Mitchell Weiser
Werder Bremen · Bundesliga
Germany32yContract 2024
Tkl/901.97
KP/901.29
Active Full-Back
81% match
€3.5M
#9
L
Lukas Klostermann
RB Leipzig · Bundesliga
Germany29yContract 2028
Tkl/901.37
KP/900.10
Ball-Playing CBBall-Playing
80% match
€3.5M
#10
K
Kosta Nedeljkovic
RB Leipzig · Bundesliga
Serbia20yContract 2026
Tkl/900.36
KP/900.00
Small Sample
81% match
€8.0M
#11
T
Tobias Müller
Magdeburg · Bundesliga
Germany31y
Tkl/901.65
KP/900.35
Ball-Playing CBBall-Playing
Last 5: → Stable
81% match
€5.0M
#12
S
Samet Akaydin
Rizespor · Super Lig
Turkey32yContract 2026
Tkl/901.82
KP/900.46
Ball-Playing CBAerial
Last 5: → Stable
80% match
€3.7M

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 Tin Jedvaj.

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Frequently Asked Questions

Who are the best alternatives to Tin Jedvaj?
The top alternatives to Tin Jedvaj based on AI DNA playing style analysis include: Mërgim Vojvoda, Marin Pongracic, Konstantinos Koulierakis, Leonidas Stergiou, David Nemeth. 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 Tin Jedvaj in 2026?
Players with a similar profile to Tin Jedvaj in 2026 include Mërgim Vojvoda (€3.0M), Marin Pongracic (€7.5M), Konstantinos Koulierakis (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Tin Jedvaj play and who plays similarly?
Tin Jedvaj plays as a Defender. Players with a comparable positional profile include Mërgim Vojvoda (Kosovo, €3.0M); Marin Pongracic (Croatia, €7.5M); Konstantinos Koulierakis (Greece, €25.0M); Leonidas Stergiou (Switzerland, €3.5M).
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.