RisingTransfers
AI DNA Similarity

Best Alternatives to Siebe Van der Heyden

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

Top 3 Alternatives to Siebe Van der Heyden

  1. 1.Jan Paul van Hecke84% DNA match·Brighton & Hove Albion€35.0M
  2. 2.Anel Ahmedhodzic83% DNA match·Feyenoord€12.0M
  3. 3.Thomas Beelen83% DNA match·Feyenoord€7.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

Van der Heyden is a high-volume defensive catalyst who functions as an auxiliary playmaker while maintaining an elite...

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

Van der Heyden is a high-volume defensive catalyst who functions as an auxiliary playmaker while maintaining an elite, predatory reading of the game. His statistical profile is a study in proactive defending; ranking in the top 5% for interceptions, he doesn't just stop attacks, he anticipates them before they crystallize. While his 56.3 passes per 90 place him among the league’s most involved distributors, it is his verticality that truly pops, with his progressive passing into the final third sitting in the top 20% of the Pro League. The three most similar players to Siebe Van der Heyden by playing style are:

  • Jan Paul van Hecke(84% 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).
  • Anel Ahmedhodzic(83% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.0 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (60% duel success), central to possession (72 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
  • Thomas Beelen(83% match)A Ball-Playing CB. Statistically, he stands out as meticulous in distribution (91% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (80 passes/90), central to possession (92 touches/90) and switches play with precision (5.3 long balls/90, 62% accuracy).

Transfer Intelligence

Jan Paul van Hecke delivers 84% of the same playing style, at a 1650% premium over Siebe Van der Heyden, 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 →

S
Comparison Base
Siebe Van der Heyden
DefenderBelgium€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 Heyden: €33M more expensive · 2y younger
84% match
€35.0M
#2
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Heyden: €10M more expensive
83% match
€12.0M
#3
T
Thomas Beelen
Feyenoord · Eredivisie
Netherlands24yContract 2028
Tkl/901.24
KP/900.27
Ball-Playing CBBall-Playing
vs Heyden: 3y younger
83% match
€7.0M
#4
C
Calvin Verdonk
LOSC Lille · Ligue 1
Netherlands29yContract 2028
Tkl/903.05
KP/901.22
Active Full-BackBall-Playing
Last 5: ↓ Dip
83% match
€3.0M
#5
F
Facundo Medina
Olympique Marseille · Ligue 1
Argentina26yContract 2026
Tkl/901.54
KP/900.58
Ball-Playing CBBall-Playing
83% match
€18.0M
#6
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
82% match
€13.0M
#7
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€28.0M
#8
A
Armando Obispo
PSV · Eredivisie
Netherlands27yContract 2027
Tkl/900.67
KP/900.00
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€3.0M
#9
S
Samson Baidoo
Lens · Ligue 1
Austria22yContract 2030
Tkl/901.98
KP/900.28
Ball-Playing CBAerial
Last 5: → Stable
82% match
€12.0M
#10
A
Arthur Theate
Eintracht Frankfurt · Bundesliga
Belgium25yContract 2029
Tkl/902.42
KP/900.70
Ball-Playing CBBall-Playing
82% match
€20.0M
#11
Z
Zeno Debast
Sporting CP · Liga Portugal
Belgium22yContract 2029
Tkl/901.22
KP/900.46
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€30.0M
#12
R
Ramon Hendriks
VfB Stuttgart · Bundesliga
Netherlands24yContract 2028
Tkl/901.63
KP/900.55
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€5.0M

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 Siebe Van der Heyden.

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Frequently Asked Questions

Who are the best alternatives to Siebe Van der Heyden?
The top alternatives to Siebe Van der Heyden based on AI DNA playing style analysis include: Jan Paul van Hecke, Anel Ahmedhodzic, Thomas Beelen, Calvin Verdonk, Facundo Medina. 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 Siebe Van der Heyden in 2026?
Players with a similar profile to Siebe Van der Heyden in 2026 include Jan Paul van Hecke (€35.0M), Anel Ahmedhodzic (€12.0M), Thomas Beelen (€7.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Siebe Van der Heyden play and who plays similarly?
Siebe Van der Heyden plays as a Defender. Players with a comparable positional profile include Jan Paul van Hecke (Netherlands, €35.0M); Anel Ahmedhodzic (Bosnia and Herzegovina, €12.0M); Thomas Beelen (Netherlands, €7.0M); Calvin Verdonk (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.