AI DNA Similarity
Best Alternatives to Joël Veltman
Players most similar to Joël Veltman (Defender, €2.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Joël Veltman
- 1.Sepp van den Berg85% DNA match·Brentford€28.0M
- 2.Jan Paul van Hecke85% DNA match·Brighton & Hove Albion€35.0M
- 3.Noussair Mazraoui85% DNA match·Manchester United€20.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 18%
“A Physical Stopper....”
See Full Verdict + Share Card →Playing Style Analysis
Physical Stopper
A Physical Stopper. Statistically, he stands out as an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (70% duel success), draws fouls effectively (2.0/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. The three most similar players to Joël Veltman by playing style are:
- Sepp van den Berg(85% 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%).
- Jan Paul van Hecke(85% 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).
- Noussair Mazraoui(85% match) — A Active Full-Back. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), commanding in the air (5.0 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (65% duel success), central to possession (74 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league.
Transfer Intelligence
Sepp van den Berg delivers 85% of the same playing style, at a 1020% premium over Joël Veltman, with 0.64 tackles won per 90 at age 24.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
S
Sepp van den Berg
Brentford · Premier League
Netherlands24yContract 2029
Tkl/900.64
KP/900.20
Ball-Playing CBAerial
Last 5: → Stablevs Veltman: €26M more expensive · 10y younger
85% match
€28.0M
#2
J
Jan Paul van Hecke
Brighton & Hove Albion · Premier League
Netherlands25yContract 2027
Tkl/901.54
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stablevs Veltman: €33M more expensive · 9y younger
85% match
€35.0M
#3
N
Noussair Mazraoui
Manchester United · Premier League
Morocco28yContract 2028
Tkl/902.87
KP/900.59
Active Full-BackAerial
Last 5: → Stablevs Veltman: €18M more expensive · 6y younger
85% match
€20.0M
#4
I
Ian Maatsen
Aston Villa · Premier League
Netherlands24yContract 2030
Tkl/902.33
KP/901.44
Active Full-Back
Last 5: ↓ Dip85% match
€25.0M
#5
C
Calvin Verdonk
LOSC Lille · Ligue 1
Netherlands29yContract 2028
Tkl/903.05
KP/901.22
Active Full-BackBall-Playing
Last 5: ↓ Dip85% match
€3.0M
#6
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable84% match
€28.0M
#7
M
Micky van de Ven
Tottenham Hotspur · Premier League
Netherlands25yContract 2029
Tkl/901.26
KP/900.19
Ball-Playing CB
Last 5: → Stable84% match
€65.0M
#8
P
Pedro Porro
Tottenham Hotspur · Premier League
Spain26yContract 2028
Tkl/902.40
KP/901.68
Active Full-Back
Last 5: ↑ Hot84% match
€40.0M
#9
T
Timothy Castagne
Fulham · Premier League
Belgium30yContract 2027
Tkl/901.84
KP/900.81
Active Full-Back
Last 5: → Stable84% match
€10.0M
#10
K
Kenny Tete
Fulham · Premier League
Netherlands30yContract 2028
Tkl/903.26
KP/900.55
Physical Stopper
Last 5: → Stable83% match
€11.0M
#11
C
Cristian Romero
Tottenham Hotspur · Premier League
Argentina28yContract 2027
Tkl/902.78
KP/900.62
Ball-Playing CBAerial
Last 5: ↑ Hot83% match
€50.0M
#12
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable83% match
€65.0M
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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 Joël Veltman.
Ask AI about Joël Veltman →Frequently Asked Questions
Who are the best alternatives to Joël Veltman?▼
The top alternatives to Joël Veltman based on AI DNA playing style analysis include: Sepp van den Berg, Jan Paul van Hecke, Noussair Mazraoui, Ian Maatsen, Calvin Verdonk. 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 Joël Veltman in 2026?▼
Players with a similar profile to Joël Veltman in 2026 include Sepp van den Berg (€28.0M), Jan Paul van Hecke (€35.0M), Noussair Mazraoui (€20.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Joël Veltman play and who plays similarly?▼
Joël Veltman plays as a Defender. Players with a comparable positional profile include Sepp van den Berg (Netherlands, €28.0M); Jan Paul van Hecke (Netherlands, €35.0M); Noussair Mazraoui (Morocco, €20.0M); Ian Maatsen (Netherlands, €25.0M).
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.