RisingTransfers
AI DNA Similarity

Best Alternatives to David Jurásek

Players most similar to David Jurásek (Defender, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to David Jurásek

  1. 1.Ismail Jakobs85% DNA match·Galatasaray€6.0M
  2. 2.Mert Müldür84% DNA match·Fenerbahçe€5.0M
  3. 3.Mustafa Eskihellaç84% DNA match·Trabzonspor€3.0M

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

RT

Intelligence Verdict

Big ChancesTop 0%
???Bottom 0%

Jurásek is a specialist outlet trapped in a generalist’s role...

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Playing Style Analysis

Jurásek is a specialist outlet trapped in a generalist’s role, operating as a low-volume, high-impact ball-progressor who defies the typical "stay-at-home" Turkish league defensive mold. While his raw passing volume sits in the bottom half of the league, he possesses a surgical eye for the final ball, ranking in the elite top 10% for key passes and dribbles per 90. The counterintuitive reality here is that Jurásek isn't a builder; he is a finisher of sequences. The three most similar players to David Jurásek by playing style are:

  • Ismail Jakobs(85% match)Jakobs is the kind of left-sided defender who wins the ball like a midfielder and then reminds you, painfully, that he's not one. His duel win rate sits in the top 10% of the Super Lig—a genuinely elite number that masks a more complicated truth: he's winning ground battles at a premium rate while losing aerial contests below the league average, meaning his positioning invites exactly the type of challenge he handles worst. The counterintuitive read here is that his pass accuracy of 70.8% isn't laziness—it's aggression.
  • Mert Müldür(84% match)Müldür occupies a fascinating tactical grey zone—a defender who consistently threatens the opposition goal more than he's troubled by his own. His tackles won rate sits in the top 5% of Super Lig defenders, meaning he's not just positioning well; he's actively winning the ball back at an elite frequency for this league. Pair that with top-20% key passes and shots per 90, and you have someone functioning more like an advanced wing-back than a conventional fullback.
  • Mustafa Eskihellaç(84% match)A Active Full-Back. Statistically, he stands out as a reliable supplier (0.16 assists/90), meticulous in distribution (87% pass accuracy), wins the physical battle (59% duel success), draws fouls effectively (2.3/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.

Transfer Intelligence

Ismail Jakobs delivers 85% of the same playing style, at a 100% premium over David Jurásek, with 1.89 tackles won per 90 at age 26.

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

D
Comparison Base
David Jurásek
DefenderCzech Republic€3.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
I
Ismail Jakobs
Galatasaray · Super Lig
Senegal26yContract 2027
Tkl/901.89
KP/900.91
Last 5: → Stable
85% match
€6.0M
#2
M
Mert Müldür
Fenerbahçe · Super Lig
Turkey27yContract 2027
Tkl/902.98
KP/901.18
Physical StopperSmall Sample
Last 5: ↓ Dip
vs Jurásek: 2y older
84% match
€5.0M
#3
M
Mustafa Eskihellaç
Trabzonspor · Super Lig
Turkey29yContract 2027
Tkl/901.66
KP/900.98
Active Full-Back
Last 5: → Stable
vs Jurásek: 4y older
84% match
€3.0M
#4
L
Levent Mercan
Fenerbahçe · Super Lig
Germany25yContract 2028
Tkl/901.98
KP/901.58
Active Full-Back
Last 5: → Stable
84% match
€5.0M
#5
M
Milan Škriniar
Fenerbahçe · Super Lig
Slovakia31yContract 2025
Tkl/901.74
KP/900.04
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
82% match
€11.0M
#6
N
Nélson Semedo
Fenerbahçe · Super Lig
Portugal32yContract 2027
Tkl/902.30
KP/900.75
Active Full-Back
Last 5: → Stable
82% match
€7.0M
#7
M
Mitchell Weiser
Werder Bremen · Bundesliga
Germany32yContract 2024
Tkl/901.97
KP/901.29
Active Full-Back
82% match
€3.5M
#8
R
Roland Sallai
Galatasaray · Super Lig
Hungary28yContract 2028
Tkl/901.79
KP/900.88
Active Full-Back
Last 5: → Stable
82% match
€12.0M
#9
Ü
Ümit Akdağ
Alanyaspor · Super Lig
Romania22yContract 2028
Tkl/901.24
KP/900.62
Ball-Playing CBAerial
Last 5: ↑ Hot
82% match
€4.0M
#10
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
#11
M
Mateusz Wieteska
Kocaelispor · Super Lig
Poland29y
Tkl/901.50
KP/900.10
Ball-Playing CBBall-Playing
81% match
€5.0M
#12
M
Mauro Júnior
PSV · Eredivisie
Brazil27yContract 2029
Tkl/902.63
KP/901.51
Active Full-BackBall-Playing
Last 5: → Stable
82% match
€17.0M

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 David Jurásek.

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Frequently Asked Questions

Who are the best alternatives to David Jurásek?
The top alternatives to David Jurásek based on AI DNA playing style analysis include: Ismail Jakobs, Mert Müldür, Mustafa Eskihellaç, Levent Mercan, Milan Škriniar. 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 David Jurásek in 2026?
Players with a similar profile to David Jurásek in 2026 include Ismail Jakobs (€6.0M), Mert Müldür (€5.0M), Mustafa Eskihellaç (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does David Jurásek play and who plays similarly?
David Jurásek plays as a Defender. Players with a comparable positional profile include Ismail Jakobs (Senegal, €6.0M); Mert Müldür (Turkey, €5.0M); Mustafa Eskihellaç (Turkey, €3.0M); Levent Mercan (Germany, €5.0M).
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.