RisingTransfers
AI DNA Similarity

Best Alternatives to Kamil Glik

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

Top 3 Alternatives to Kamil Glik

  1. 1.Sebastian Walukiewicz81% DNA match·Sassuolo€4.5M
  2. 2.Jan Bednarek81% DNA match·Porto€11.0M
  3. 3.Bram Nuytinck79% DNA match·NEC Nijmegen€3.0M

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

RT

Intelligence Verdict

ShotsTop 10%
???Bottom 15%

Glik remains the quintessential defensive pillar of the Ekstraklasa...

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Playing Style Analysis

Ball-Playing CBAerialSmall Sample

Glik remains the quintessential defensive pillar of the Ekstraklasa, a veteran gladiator whose game has evolved from pure physical dominance into a masterclass of positioning and calculated aggression. While his raw pace has naturally declined, his 69.2% duel win rate places him in the league’s elite bracket, proving that timing often trumps athleticism in domestic contexts. The data presents a fascinating paradox: despite ranking in the top 20% for aerials won per ninety, his success rate in those specific duels is technically below the league average, suggesting he is a high-volume contested header specialist who wins by sheer persistence rather than vertical leap. The three most similar players to Kamil Glik by playing style are:

  • Sebastian Walukiewicz(81% match)A Defender.
  • Jan Bednarek(81% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.9 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (92% pass accuracy), wins the physical battle (65% duel success), heavily involved in possession (81 passes/90), central to possession (93 touches/90), dominant in the air (4.6 aerials won/90, 72%) and active off the ball (2.6 press score/90), contributing to defensive transitions.
  • Bram Nuytinck(79% 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.

Transfer Intelligence

Sebastian Walukiewicz delivers 81% of the same playing style, at a 50% premium over Kamil Glik, with 1.58 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 →

K
Comparison Base
Kamil Glik
DefenderPoland€3.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Sebastian Walukiewicz
Sassuolo · Serie A
Poland26yContract 2026
Tkl/901.58
KP/900.59
Last 5: → Stable
vs Glik: 12y younger
81% match
€4.5M
#2
J
Jan Bednarek
Porto · Liga Portugal
Poland30yContract 2029
Tkl/900.59
KP/900.24
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Glik: €8M more expensive · 8y younger
81% match
€11.0M
#3
B
Bram Nuytinck
NEC Nijmegen · Eredivisie
Netherlands36y
Tkl/901.08
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Glik: 2y younger
79% match
€3.0M
#4
M
Mario Gila
Lazio · Serie A
Spain25yContract 2027
Tkl/902.10
KP/900.18
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
78% match
€30.0M
#5
L
Lukas Klostermann
RB Leipzig · Bundesliga
Germany29yContract 2028
Tkl/901.37
KP/900.10
Ball-Playing CBBall-Playing
78% match
€3.5M
#6
J
José Fonte
Casa Pia · Liga Portugal
Portugal42y
Tkl/900.75
KP/900.19
Physical StopperAerial
78% match
€5.6M
#7
V
Virgil van Dijk
Liverpool · Premier League
Netherlands34yContract 2027
Tkl/900.61
KP/900.31
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
78% match
€18.0M
#8
A
Adam Marusic
Lazio · Serie A
Montenegro33yContract 2026
Tkl/901.34
KP/900.36
Active Full-Back
Last 5: ↓ Dip
78% match
€3.0M
#9
W
Willy Kambwala
Villarreal · La Liga
France21yContract 2029
Tkl/901.38
KP/900.09
Ball-Playing CBAerial
77% match
€4.0M
#10
M
Mateusz Wieteska
Kocaelispor · Super Lig
Poland29y
Tkl/901.50
KP/900.10
Ball-Playing CBBall-Playing
77% match
€5.0M
#11
M
Modibo Sagnan
Rizespor · Super Lig
France27y
Tkl/902.29
KP/900.25
Reading DefenderAerial Defender
Last 5: ↑ Hot
78% match
€3.2M
#12
Y
Yarek Gasiorowski
PSV · Eredivisie
Spain21yContract 2030
Tkl/901.18
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
77% match
€16.0M

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 Kamil Glik.

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Frequently Asked Questions

Who are the best alternatives to Kamil Glik?
The top alternatives to Kamil Glik based on AI DNA playing style analysis include: Sebastian Walukiewicz, Jan Bednarek, Bram Nuytinck, Mario Gila, Lukas Klostermann. 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 Kamil Glik in 2026?
Players with a similar profile to Kamil Glik in 2026 include Sebastian Walukiewicz (€4.5M), Jan Bednarek (€11.0M), Bram Nuytinck (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kamil Glik play and who plays similarly?
Kamil Glik plays as a Defender. Players with a comparable positional profile include Sebastian Walukiewicz (Poland, €4.5M); Jan Bednarek (Poland, €11.0M); Bram Nuytinck (Netherlands, €3.0M); Mario Gila (Spain, €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.