RisingTransfers
AI DNA Similarity

Best Alternatives to Jan Paul van Hecke

Players most similar to Jan Paul van Hecke (Defender, €35.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jan Paul van Hecke

  1. 1.Calvin Bassey88% DNA match·Fulham€28.0M
  2. 2.Sepp van den Berg87% DNA match·Brentford€28.0M
  3. 3.Joachim Andersen87% DNA match·Fulham€25.0M

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

RT

Intelligence Verdict

Aerials WonTop 4%
???Bottom 22%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

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). The three most similar players to Jan Paul van Hecke by playing style are:

  • Calvin Bassey(88% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (2.2 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (61 passes/90), central to possession (76 touches/90), uses long balls frequently (5.4/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Sepp van den Berg(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.2 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (66% duel success) and dominant in the air (4.6 aerials won/90, 68%).
  • Joachim Andersen(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.2 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (71 passes/90), penetrates with forward passing (10.1 final-third passes/90), central to possession (86 touches/90), uses long balls frequently (11.3/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.

Transfer Intelligence

Calvin Bassey delivers 88% of the same playing style, at 20% lower cost (€28.0M vs €35.0M), with 2.22 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 →

J
Comparison Base
Jan Paul van Hecke
DefenderNetherlands€35.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Hecke: €7M cheaper
88% match
€28.0M
#2
S
Sepp van den Berg
Brentford · Premier League
Netherlands24yContract 2029
Tkl/900.64
KP/900.20
Ball-Playing CBAerial
Last 5: → Stable
vs Hecke: €7M cheaper
87% match
€28.0M
#3
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Hecke: €10M cheaper · 4y older
87% match
€25.0M
#4
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
86% match
€65.0M
#5
S
Sam Beukema
Napoli · Serie A
Netherlands27yContract 2030
Tkl/901.04
KP/900.34
Ball-Playing CBBall-Playing
87% match
€28.0M
#6
G
Gustaf Lagerbielke
Sporting Braga · Liga Portugal
Sweden26yContract 2030
Tkl/901.02
KP/900.31
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
86% match
€5.0M
#7
C
Calvin Verdonk
LOSC Lille · Ligue 1
Netherlands29yContract 2028
Tkl/903.05
KP/901.22
Active Full-BackBall-Playing
Last 5: ↓ Dip
86% match
€3.0M
#8
M
Marcos Senesi
AFC Bournemouth · Premier League
Argentina29yContract 2026
Tkl/901.71
KP/900.69
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€22.0M
#9
M
Micky van de Ven
Tottenham Hotspur · Premier League
Netherlands25yContract 2029
Tkl/901.26
KP/900.19
Ball-Playing CB
Last 5: → Stable
85% match
€65.0M
#10
M
Murillo
Nottingham Forest · Premier League
Brazil23yContract 2029
Tkl/901.48
KP/900.38
Ball-Playing CBAerial
Last 5: → Stable
85% match
€12.0M
#11
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
85% match
€45.0M
#12
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€12.0M

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 Jan Paul van Hecke.

Ask AI about Jan Paul van Hecke

Frequently Asked Questions

Who are the best alternatives to Jan Paul van Hecke?
The top alternatives to Jan Paul van Hecke based on AI DNA playing style analysis include: Calvin Bassey, Sepp van den Berg, Joachim Andersen, Marc Guéhi, Sam Beukema. 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 Jan Paul van Hecke in 2026?
Players with a similar profile to Jan Paul van Hecke in 2026 include Calvin Bassey (€28.0M), Sepp van den Berg (€28.0M), Joachim Andersen (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jan Paul van Hecke play and who plays similarly?
Jan Paul van Hecke plays as a Defender. Players with a comparable positional profile include Calvin Bassey (Nigeria, €28.0M); Sepp van den Berg (Netherlands, €28.0M); Joachim Andersen (Denmark, €25.0M); Marc Guéhi (England, €65.0M).
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.