RisingTransfers
AI DNA Similarity

Best Alternatives to Stav Lemkin

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

Top 3 Alternatives to Stav Lemkin

  1. 1.Bram Nuytinck83% DNA match·NEC Nijmegen€3.0M
  2. 2.Mees de Wit83% DNA match·AZ€4.5M
  3. 3.Yarek Gasiorowski82% DNA match·PSV€16.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 15%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.2 clearances/90), meticulous in distribution (91% pass accuracy), central to possession (72 touches/90), uses long balls frequently (5.5/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. The three most similar players to Stav Lemkin by playing style are:

  • Bram Nuytinck(83% match)Nuytinck is the quintessential Eredivisie "old head" whose value lies in the safety of his distribution rather than the dynamism of his defending. While he lacks the mobility of modern elite center-backs, his 89.7% pass accuracy puts him in the top 30% of the league, marking him as a reliable metronome for a Tier C side looking to build from the back without risk. Counterintuitively, despite his reputation as a physical presence, his 52.6% duel win rate is merely average, suggesting he relies more on positioning than raw power to survive.
  • Mees de Wit(83% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), a reliable supplier (0.22 assists/90), active in the tackle (2.3 tackles/90), uses long balls frequently (5.5/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Yarek Gasiorowski(82% match)Gasiorowski occupies a fascinating niche in the Eredivisie: a centre-back who quietly outscores most midfielders, registering goals at a top-10% rate while ostensibly being paid to stop them. That goalscoring output is the counterintuitive headline here — it signals genuine attacking instinct and timing in the box, not just set-piece fortune. His interception numbers (top 20%) confirm sharp positional reading, and a pass accuracy of 89.5% with 64.4 passes per 90 marks him as a composed, high-volume distributor.

Transfer Intelligence

Bram Nuytinck delivers 83% of the same playing style, at a 100% premium over Stav Lemkin, with 1.08 tackles won per 90 at age 36.

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

S
Comparison Base
Stav Lemkin
DefenderIsrael€1.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
B
Bram Nuytinck
NEC Nijmegen · Eredivisie
Netherlands36y
Tkl/901.08
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Lemkin: 13y older
83% match
€3.0M
#2
M
Mees de Wit
AZ · Eredivisie
Netherlands28yContract 2029
Tkl/902.28
KP/901.12
Active Full-Back
Last 5: → Stable
vs Lemkin: 5y older
83% match
€4.5M
#3
Y
Yarek Gasiorowski
PSV · Eredivisie
Spain21yContract 2030
Tkl/901.18
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Lemkin: €15M more expensive · 2y younger
82% match
€16.0M
#4
J
Jozhua Vertrouwd
Rayo Vallecano · La Liga
Netherlands21yContract 2026
Tkl/901.81
KP/900.36
Ball-Playing CBBall-Playing
83% match
€3.0M
#5
A
Armando Obispo
PSV · Eredivisie
Netherlands27yContract 2027
Tkl/900.67
KP/900.00
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€3.0M
#6
Ü
Ümit Akdağ
Alanyaspor · Super Lig
Romania22yContract 2028
Tkl/901.24
KP/900.62
Ball-Playing CBAerial
Last 5: ↑ Hot
82% match
€4.0M
#7
M
Mohamed Abdelmonem 
Nice · Ligue 1
Egypt27yContract 2028
Tkl/902.11
KP/900.00
Ball-Playing CBAerial
82% match
€3.0M
#8
C
Chidozie Awaziem
Nantes · Ligue 1
Nigeria29yContract 2028
Tkl/901.60
KP/900.20
Ball-Playing CBAerial
81% match
€3.0M
#9
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
81% match
€12.0M
#10
L
Lucas Rosa
Ajax · Eredivisie
Brazil26yContract 2029
Tkl/902.89
KP/900.35
Active Full-Back
Last 5: ↑ Hot
82% match
€4.0M
#11
S
Saïdou Sow
Clermont · Ligue 1
Guinea23yContract 2028
Tkl/900.97
KP/900.21
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
82% match
€3.0M
#12
A
Ahmetcan Kaplan
NEC Nijmegen · Eredivisie
Turkey23y
Tkl/902.15
KP/900.44
Ball-Playing CBAerial
Last 5: → Stable
82% match
€9.5M

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 Stav Lemkin.

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Frequently Asked Questions

Who are the best alternatives to Stav Lemkin?
The top alternatives to Stav Lemkin based on AI DNA playing style analysis include: Bram Nuytinck, Mees de Wit, Yarek Gasiorowski, Jozhua Vertrouwd, Armando Obispo. 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 Stav Lemkin in 2026?
Players with a similar profile to Stav Lemkin in 2026 include Bram Nuytinck (€3.0M), Mees de Wit (€4.5M), Yarek Gasiorowski (€16.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Stav Lemkin play and who plays similarly?
Stav Lemkin plays as a Defender. Players with a comparable positional profile include Bram Nuytinck (Netherlands, €3.0M); Mees de Wit (Netherlands, €4.5M); Yarek Gasiorowski (Spain, €16.0M); Jozhua Vertrouwd (Netherlands, €3.0M).
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.