AI DNA Similarity
Best Alternatives to Gerry Vlak
Players most similar to Gerry Vlak (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Gerry Vlak
- 1.Maurizio Brenna86% DNA match·Katwijk
- 2.Jeremiah Mensah85% DNA match·Bayer 04 Leverkusen
- 3.Rick van der Meer85% DNA match·Katwijk
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“Gerry Vlak is a Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
Gerry Vlak is a Midfielder. Solid midfield option. (Limited sample: 378 mins) The three most similar players to Gerry Vlak by playing style are:
- Maurizio Brenna(86% match) — Maurizio Brenna is a Midfielder. Solid midfield option. (Limited sample: 299 mins)
- Jeremiah Mensah(85% match) — Jeremiah Dennit Mensah is a Midfielder. Solid midfield option. (Limited sample: 327 mins)
- Rick van der Meer(85% match) — Rick van der Meer is a Midfielder. Solid midfield option. Statistically, he stands out as wins the physical battle (60% duel success). (Limited sample: 323 mins)
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
M
Maurizio Brenna
Katwijk · Eredivisie
Netherlands27y
KP/900.00
G/900.00
Small Sample
vs Vlak: 3y younger
86% match
N/A
#2
J
Jeremiah Mensah
Bayer 04 Leverkusen · Bundesliga
Germany18y
KP/900.00
G/900.00
Small Sample
vs Vlak: 12y younger
85% match
N/A
#3
R
Rick van der Meer
Katwijk · Eredivisie
Netherlands28y
KP/900.00
G/900.00
Small Sample
vs Vlak: 2y younger
85% match
N/A
#4
S
Salvador Blopa
Sporting CP · Liga Portugal
Portugal18y
KP/900.00
G/900.00
Small Sample
85% match
N/A
#5
K
Kiano Dyer
FC Volendam · Eredivisie
England19y
KP/900.00
G/900.00
Small Sample
84% match
N/A
#6
A
Alamara Djabi
FC Midtjylland · Superliga
Guinea-Bissau19y
KP/900.00
G/900.00
Small Sample
82% match
N/A
#7
D
Doni Arifi
SpVgg Greuther Fürth · Bundesliga
Finland24y
KP/901.12
G/900.00
Small Sample
Last 5: ↓ Dip82% match
N/A
#8
M
Martin Spelmann
Hvidovre · Superliga
Denmark39y
KP/900.40
G/900.00
Small Sample
80% match
N/A
#9
Y
Yanis Khafi
Paris Saint Germain · Ligue 1
France20y
KP/901.18
G/900.00
Small Sample
81% match
N/A
#10
J
Joseph Nduquidi
Metz · Ligue 1
France21y
KP/900.15
G/900.00
Balanced MidfielderSmall Sample
Last 5: ↓ Dip81% match
N/A
#11
T
Thomas Beekman
IJsselmeervogels · Eredivisie
Netherlands26y
KP/900.22
G/900.00
Balanced MidfielderSmall Sample
81% match
N/A
#12
U
Ulrich Taffertshofer
Atlético Baleares · La Liga
Germany34yContract 2026
KP/900.00
G/900.00
81% match
N/A
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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 Gerry Vlak.
Ask AI about Gerry Vlak →Frequently Asked Questions
Who are the best alternatives to Gerry Vlak?▼
The top alternatives to Gerry Vlak based on AI DNA playing style analysis include: Maurizio Brenna, Jeremiah Mensah, Rick van der Meer, Salvador Blopa, Kiano Dyer. 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 Gerry Vlak in 2026?▼
Players with a similar profile to Gerry Vlak in 2026 include Maurizio Brenna (N/A), Jeremiah Mensah (N/A), Rick van der Meer (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Gerry Vlak play and who plays similarly?▼
Gerry Vlak plays as a Midfielder. Players with a comparable positional profile include Maurizio Brenna (Netherlands, N/A); Jeremiah Mensah (Germany, N/A); Rick van der Meer (Netherlands, N/A); Salvador Blopa (Portugal, N/A).
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.