RisingTransfers
AI DNA Similarity

Best Alternatives to Wouter Goes

Players most similar to Wouter Goes (Defender, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Wouter Goes

  1. 1.Youri Baas88% DNA match·Ajax€16.0M
  2. 2.Yarek Gasiorowski86% DNA match·PSV€16.0M
  3. 3.Anel Ahmedhodzic86% DNA match·Feyenoord€12.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 21%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.2 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (64% duel success), heavily involved in possession (63 passes/90), penetrates with forward passing (8.7 final-third passes/90), central to possession (76 touches/90), uses long balls frequently (7.2/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. The three most similar players to Wouter Goes by playing style are:

  • Youri Baas(88% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.5 clearances/90), meticulous in distribution (92% pass accuracy), wins the physical battle (60% duel success), heavily involved in possession (76 passes/90), central to possession (91 touches/90), uses long balls frequently (5.2/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Yarek Gasiorowski(86% match)Gasiorowski occupies a fascinating niche in the Eredivisie: a centre-back who quietly outscores most midfielders, registering goals at a top-10% rate while ostensibly being paid to stop them. That goalscoring output is the counterintuitive headline here — it signals genuine attacking instinct and timing in the box, not just set-piece fortune. His interception numbers (top 20%) confirm sharp positional reading, and a pass accuracy of 89.5% with 64.4 passes per 90 marks him as a composed, high-volume distributor.
  • Anel Ahmedhodzic(86% 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.

Transfer Intelligence

Youri Baas delivers 88% of the same playing style, at a 33% premium over Wouter Goes, with 1.79 tackles won per 90 at age 23.

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

W
Comparison Base
Wouter Goes
DefenderNetherlands€12.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
Y
Youri Baas
Ajax · Eredivisie
Netherlands23yContract 2028
Tkl/901.79
KP/900.30
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Goes: 2y older
88% match
€16.0M
#2
Y
Yarek Gasiorowski
PSV · Eredivisie
Spain21yContract 2030
Tkl/901.18
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€16.0M
#3
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Goes: 6y older
86% match
€12.0M
#4
T
Tsuyoshi Watanabe
Feyenoord · Eredivisie
Japan29yContract 2029
Tkl/901.16
KP/900.44
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€10.0M
#5
V
Víctor Gómez
Sporting Braga · Liga Portugal
Spain26yContract 2028
Tkl/901.54
KP/901.17
Last 5: → Stable
86% match
€7.0M
#6
J
Jordan Bos
Feyenoord · Eredivisie
Australia23yContract 2029
Tkl/903.11
KP/901.65
Active Full-Back
Last 5: ↓ Dip
85% match
€5.0M
#7
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
85% match
€35.0M
#8
T
Takehiro Tomiyasu
Ajax · Eredivisie
Japan27yContract 2026
Tkl/901.75
KP/900.00
Active Full-Back
Last 5: → Stable
85% match
€12.0M
#9
K
Ko Itakura
Ajax · Eredivisie
Japan29yContract 2029
Tkl/901.15
KP/900.14
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
85% match
€10.0M
#10
R
Ryan Flamingo
PSV · Eredivisie
Netherlands23yContract 2029
Tkl/901.66
KP/900.40
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€17.0M
#11
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
84% match
€13.0M
#12
A
Anton Gaaei
Ajax · Eredivisie
Denmark23yContract 2028
Tkl/901.38
KP/901.48
Active Full-Back
Last 5: ↑ Hot
84% 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 Wouter Goes.

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Frequently Asked Questions

Who are the best alternatives to Wouter Goes?
The top alternatives to Wouter Goes based on AI DNA playing style analysis include: Youri Baas, Yarek Gasiorowski, Anel Ahmedhodzic, Tsuyoshi Watanabe, Víctor Gómez. 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 Wouter Goes in 2026?
Players with a similar profile to Wouter Goes in 2026 include Youri Baas (€16.0M), Yarek Gasiorowski (€16.0M), Anel Ahmedhodzic (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Wouter Goes play and who plays similarly?
Wouter Goes plays as a Defender. Players with a comparable positional profile include Youri Baas (Netherlands, €16.0M); Yarek Gasiorowski (Spain, €16.0M); Anel Ahmedhodzic (Bosnia and Herzegovina, €12.0M); Tsuyoshi Watanabe (Japan, €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.