RisingTransfers
AI DNA Similarity

Best Alternatives to Lucas Hey

Players most similar to Lucas Hey (Defender, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Lucas Hey

  1. 1.Jan Paul van Hecke83% DNA match·Brighton & Hove Albion€35.0M
  2. 2.Jordan Beyer84% DNA match·Burnley€15.0M
  3. 3.Bram Nuytinck83% DNA match·NEC Nijmegen€3.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 10%

Hey is a high-volume distributive hub masquerading as a traditional center-half in the Pro...

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Playing Style Analysis

Ball-Playing CBAerial

Hey is a high-volume distributive hub masquerading as a traditional center-half in the Pro League. While his 1927 minutes suggest a defensive mainstay for a Tier C side, his profile is defined by an elite 87.9% pass accuracy and a relentless 6.82 passes into the final third per 90, figures that place him comfortably above the league average for ball progression. The counterintuitive insight lies in his defensive profile: despite being an aerial titan—ranking in the top 20% for win rate—he is surprisingly passive on the deck. The three most similar players to Lucas Hey by playing style are:

  • Jan Paul van Hecke(83% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.3 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (70 passes/90), penetrates with forward passing (10.7 final-third passes/90), central to possession (84 touches/90), strong in aerial duels (3.1 aerials won/90) and uses long balls frequently (7.7/90).
  • Jordan Beyer(84% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.5 tackles/90), commanding in the air (4.9 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (60% duel success) and heavily involved in possession (62 passes/90).
  • 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.

Transfer Intelligence

Jan Paul van Hecke delivers 83% of the same playing style, at a 1650% premium over Lucas Hey, with 1.54 tackles won per 90 at age 25.

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

L
Comparison Base
Lucas Hey
DefenderDenmark€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jan Paul van Hecke
Brighton & Hove Albion · Premier League
Netherlands25yContract 2027
Tkl/901.54
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Hey: €33M more expensive · 2y older
83% match
€35.0M
#2
J
Jordan Beyer
Burnley · Premier League
Germany25yContract 2027
Tkl/902.10
KP/900.16
Ball-Playing CBBall-Playing
vs Hey: €13M more expensive · 2y older
84% match
€15.0M
#3
B
Bram Nuytinck
NEC Nijmegen · Eredivisie
Netherlands36y
Tkl/901.08
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Hey: 13y older
83% match
€3.0M
#4
A
Armando Obispo
PSV · Eredivisie
Netherlands27yContract 2027
Tkl/900.67
KP/900.00
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€3.0M
#5
J
Jordan Torunarigha
Hamburger SV · Bundesliga
Nigeria28yContract 2028
Tkl/901.86
KP/900.23
Ball-Playing CBAerial
83% match
€4.0M
#6
T
Terry Yegbe
Metz · Ligue 1
Ghana25yContract 2029
Tkl/900.82
KP/900.27
Ball-Playing CBAerial
Last 5: → Stable
82% match
€3.0M
#7
A
Arthur Theate
Eintracht Frankfurt · Bundesliga
Belgium25yContract 2029
Tkl/902.42
KP/900.70
Ball-Playing CBBall-Playing
82% match
€20.0M
#8
C
Chidozie Awaziem
Nantes · Ligue 1
Nigeria29yContract 2028
Tkl/901.60
KP/900.20
Ball-Playing CBAerial
82% match
€3.0M
#9
E
Emmanuel Biumla
Angers SCO · Ligue 1
France21yContract 2028
Tkl/901.75
KP/900.00
Physical StopperAerial
82% match
N/A
#10
A
Andreas Heimer
B 93 · Superliga
Denmark28y
Tkl/901.79
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
N/A
#11
J
Jerome Opoku
İstanbul Başakşehir · Super Lig
Ghana27y
Tkl/900.75
KP/900.17
Ball-Playing CBAerial
Last 5: ↓ Dip
82% match
N/A
#12
J
Jorge Herrando
Osasuna · La Liga
Spain25yContract 2027
Tkl/901.61
KP/900.20
Ball-Playing CBAerial
Last 5: ↑ Hot
83% match
€3.5M

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 Lucas Hey.

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Frequently Asked Questions

Who are the best alternatives to Lucas Hey?
The top alternatives to Lucas Hey based on AI DNA playing style analysis include: Jan Paul van Hecke, Jordan Beyer, Bram Nuytinck, Armando Obispo, Jordan Torunarigha. 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 Lucas Hey in 2026?
Players with a similar profile to Lucas Hey in 2026 include Jan Paul van Hecke (€35.0M), Jordan Beyer (€15.0M), 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 Lucas Hey play and who plays similarly?
Lucas Hey plays as a Defender. Players with a comparable positional profile include Jan Paul van Hecke (Netherlands, €35.0M); Jordan Beyer (Germany, €15.0M); Bram Nuytinck (Netherlands, €3.0M); Armando Obispo (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.