RisingTransfers
AI DNA Similarity

Best Alternatives to Joey Veerman

Players most similar to Joey Veerman (Midfielder, €27.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Joey Veerman

  1. 1.Arthur Vermeeren88% DNA match·Olympique Marseille€20.0M
  2. 2.Sven Mijnans87% DNA match·AZ€14.0M
  3. 3.Ramiz Zerrouki86% DNA match·FC Twente€7.2M

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

RT

Intelligence Verdict

Key PassesTop 0%
???Bottom 24%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as an elite creator (3.6 key passes/90), a regular goalscorer (0.31 goals/90), a prolific assist provider (0.54 assists/90), active in the tackle (2.2 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (74 passes/90), creates high-quality scoring opportunities (0.96 big chances/90), penetrates with forward passing (13.7 final-third passes/90), central to possession (95 touches/90), uses long balls frequently (8.2/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league. The three most similar players to Joey Veerman by playing style are:

  • Arthur Vermeeren(88% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), an aggressive ball-winner (2.7 tackles/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (66 passes/90), central to possession (79 touches/90) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up. Note: this profile is based on 737 minutes of playing time this season.
  • Sven Mijnans(87% match)A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.0 key passes/90), a constant goal threat (3.2 shots/90), a proven goalscorer (0.40 goals/90), a reliable supplier (0.20 assists/90), heavily involved in play (61 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 20% creator in the league.
  • Ramiz Zerrouki(86% match)A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), active in the tackle (2.3 tackles/90), penetrates with forward passing (11.6 final-third passes/90), central to possession (73 touches/90), switches play with precision (7.7 long balls/90, 63% accuracy) and active off the ball (2.8 press score/90), contributing to defensive transitions.

Transfer Intelligence

Arthur Vermeeren delivers 88% of the same playing style, at 26% lower cost (€20.0M vs €27.0M), with 1.10 key passes per 90 at age 21.

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

J
Comparison Base
Joey Veerman
MidfielderNetherlands€27.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Arthur Vermeeren
Olympique Marseille · Ligue 1
Belgium21y
KP/901.10
G/900.00
Ball-WinnerDefensive
vs Veerman: €7M cheaper · 6y younger
88% match
€20.0M
#2
S
Sven Mijnans
AZ · Eredivisie
Netherlands26yContract 2028
KP/902.03
G/900.40
CreatorCreative
Last 5: ↓ Dip
vs Veerman: €13M cheaper
87% match
€14.0M
#3
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
vs Veerman: €20M cheaper
86% match
€7.2M
#4
P
Peer Koopmeiners
AZ · Eredivisie
Netherlands26yContract 2028
KP/901.10
G/900.09
Ball-WinnerDefensive
Last 5: → Stable
87% match
€10.0M
#5
P
Paul Wanner
PSV · Eredivisie
Austria20yContract 2030
KP/901.32
G/900.17
Box-to-BoxDefensive
Last 5: → Stable
86% match
€14.0M
#6
K
Kees Smit
AZ · Eredivisie
Netherlands20yContract 2028
KP/901.56
G/900.13
Box-to-BoxCreative
Last 5: → Stable
85% match
€22.0M
#7
K
Kodai Sano
Japan · Eredivisie
Japan22yContract 2028
KP/901.49
G/900.09
Box-to-Box
Last 5: → Stable
85% match
€6.0M
#8
S
Sem Steijn
Feyenoord · Eredivisie
Netherlands24yContract 2029
KP/902.65
G/900.58
CreatorCreative
85% match
€14.0M
#9
L
Luciano Valente
Feyenoord · Eredivisie
Italy22yContract 2030
KP/901.68
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
84% match
€18.0M
#10
J
Jerdy Schouten
PSV · Eredivisie
Netherlands29yContract 2030
KP/900.91
G/900.04
Metronome
Last 5: → Stable
84% match
€22.0M
#11
O
Oussama Targhalline
Feyenoord · Eredivisie
Morocco23yContract 2028
KP/900.94
G/900.10
Ball-WinnerDefensive
Last 5: ↑ Hot
84% match
€8.0M
#12
Y
Youri Regeer
Ajax · Eredivisie
Netherlands22yContract 2029
KP/900.43
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
85% 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 Joey Veerman.

Ask AI about Joey Veerman

Frequently Asked Questions

Who are the best alternatives to Joey Veerman?
The top alternatives to Joey Veerman based on AI DNA playing style analysis include: Arthur Vermeeren, Sven Mijnans, Ramiz Zerrouki, Peer Koopmeiners, Paul Wanner. 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 Joey Veerman in 2026?
Players with a similar profile to Joey Veerman in 2026 include Arthur Vermeeren (€20.0M), Sven Mijnans (€14.0M), Ramiz Zerrouki (€7.2M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Joey Veerman play and who plays similarly?
Joey Veerman plays as a Midfielder. Players with a comparable positional profile include Arthur Vermeeren (Belgium, €20.0M); Sven Mijnans (Netherlands, €14.0M); Ramiz Zerrouki (Algeria, €7.2M); Peer Koopmeiners (Netherlands, €10.0M).
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.