AI DNA Similarity
Best Alternatives to John Neeskens
Players most similar to John Neeskens (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.2 clearances/90), wins the physical battle (56% duel success) and uses long balls frequently (10.8/90). The three most similar players to John Neeskens by playing style are:
- Abdul Mumin(100% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.4 clearances/90), wins the physical battle (56% duel success) and uses long balls frequently (7.1/90).
- Jacob Vetter(100% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.2 clearances/90), wins the physical battle (61% duel success), central to possession (70 touches/90) and uses long balls frequently (10.8/90).
- Danny Bakker(99% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.9 clearances/90), central to possession (70 touches/90), strong in aerial duels (3.4 aerials won/90) and uses long balls frequently (5.9/90).
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
A
Abdul Mumin
Rayo Vallecano · La Liga
Ghana27yContract 2026
Tkl/901.82
KP/900.05
Ball-Playing CBAerial
100% match
€4.0M
#2
J
Jacob Vetter
Middelfart · Superliga
Denmark27y
Tkl/901.80
KP/900.60
Ball-Playing CBAerial
100% match
N/A
#3
D
Danny Bakker
Telstar · Eredivisie
Netherlands31yContract 2026
Tkl/901.39
KP/900.63
Ball-Playing CBAerial
Last 5: ↑ Hot99% match
N/A
#4
R
Rodrigo Abascal
Vitória Guimarães · Liga Portugal
Uruguay32yContract 2027
Tkl/901.44
KP/900.59
Ball-Playing CBAerial
Last 5: ↑ Hot99% match
N/A
#5
A
Attila Szalai
TSG Hoffenheim · Super Lig
Hungary28yContract 2026
Tkl/901.55
KP/900.54
Ball-Playing CBAerial
Last 5: ↓ Dip99% match
€12.3M
#6
N
Nikola Milenković
Nottingham Forest · Premier League
Serbia28yContract 2029
Tkl/900.77
KP/900.03
Ball-Playing CBAerial
Last 5: → Stable99% match
€14.3M
#7
D
Damon Mirani
Heracles Almelo · Eredivisie
Netherlands29y
Tkl/901.13
KP/900.12
Ball-Playing CBAerial
Last 5: ↑ Hot99% match
N/A
#8
M
Martin Valjent
Mallorca · La Liga
Slovakia30yContract 2029
Tkl/901.11
KP/900.11
Ball-Playing CBAerial
Last 5: → Stable99% match
€4.5M
#9
S
Stefano Denswil
Kayserispor · Super Lig
Suriname32y
Tkl/901.01
KP/900.24
Ball-Playing CBAerial
Last 5: → Stable99% match
€6.0M
#10
L
Lukas Boeder
Dynamo Dresden · Bundesliga
Germany28yContract 2026
Tkl/901.08
KP/900.50
Ball-Playing CBBall-Playing
99% match
N/A
#11
T
Tomas Kalas
Schalke 04 · Bundesliga
Czech Republic32yContract 2027
Tkl/900.98
KP/900.42
Ball-Playing CBAerial
99% match
€9.0M
#12
H
Harry Maguire
Manchester United · Premier League
England33yContract 2026
Tkl/901.04
KP/900.16
Ball-Playing CBAerial
Last 5: ↓ Dip99% match
€10.0M
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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 John Neeskens.
Ask AI about John Neeskens →Frequently Asked Questions
Who are the best alternatives to John Neeskens?▼
The top alternatives to John Neeskens based on AI DNA playing style analysis include: Abdul Mumin, Jacob Vetter, Danny Bakker, Rodrigo Abascal, Attila Szalai. 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 John Neeskens in 2026?▼
Players with a similar profile to John Neeskens in 2026 include Abdul Mumin (€4.0M), Jacob Vetter (N/A), Danny Bakker (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does John Neeskens play and who plays similarly?▼
John Neeskens plays as a Defender. Players with a comparable positional profile include Abdul Mumin (Ghana, €4.0M); Jacob Vetter (Denmark, N/A); Danny Bakker (Netherlands, N/A); Rodrigo Abascal (Uruguay, 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.