AI DNA Similarity
Best Alternatives to Obed Nkambadio
Players most similar to Obed Nkambadio (Goalkeeper, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Obed Nkambadio
- 1.Mitchel Michaelis95% DNA match·Koninklijke HFC
- 2.Wesley Zonneveld95% DNA match·Rijnsburgse Boys
- 3.Casper Radza91% DNA match·Middelfart
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
SavesTop 5%
???Bottom 0%
“A Sweeper-Keeper....”
See Full Verdict + Share Card →Playing Style Analysis
Sweeper-Keeper
A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success). However, he concedes frequently (1.75/90). The three most similar players to Obed Nkambadio by playing style are:
- Mitchel Michaelis(95% match) — A Traditional Keeper. However, he concedes frequently (1.58/90).
- Wesley Zonneveld(95% match) — A Traditional Keeper. However, he concedes frequently (1.77/90).
- Casper Radza(91% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (83% success) and reliable in goal (3.5 saves/90). However, he concedes frequently (2.04/90).
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
M
Mitchel Michaelis
Koninklijke HFC · Eredivisie
Netherlands32y
Tkl/900.00
Traditional Keeper
vs Nkambadio: 9y older
95% match
N/A
#2
W
Wesley Zonneveld
Rijnsburgse Boys · Eredivisie
Netherlands33yContract 2027
Tkl/900.00
Traditional Keeper
vs Nkambadio: 10y older
95% match
N/A
#3
C
Casper Radza
Middelfart · Superliga
Denmark32y
Tkl/900.08
Sweeper-Keeper
vs Nkambadio: 9y older
91% match
N/A
#4
B
Bilal Bayazıt
Kayserispor · Super Lig
Netherlands27yContract 2026
Tkl/900.04
Traditional Keeper
91% match
N/A
#5
J
Joey Houweling
Spakenburg · Eredivisie
Netherlands26y
Tkl/900.13
Sweeper-Keeper
91% match
N/A
#6
F
Felix Gebhardt
Jahn Regensburg · Bundesliga
Germany24y
Tkl/900.05
Sweeper-Keeper
89% match
N/A
#7
L
Luca Plogmann
Go Ahead Eagles · Eredivisie
Germany26yContract 2026
Tkl/900.00
Sweeper-Keeper
89% match
N/A
#8
H
Hans Christian Bernat
Karlsruher SC · Bundesliga
Denmark25y
Tkl/900.00
Sweeper-Keeper
89% match
N/A
#9
T
Timo Jansink
Heracles Almelo · Eredivisie
Netherlands22y
Tkl/900.00
Sweeper-Keeper
89% match
N/A
#10
G
Gonzalo Crettaz
NEC Nijmegen · Eredivisie
Argentina26y
Tkl/900.17
Sweeper-Keeper
89% match
N/A
#11
M
Max Schmitt
Ulm · Bundesliga
Germany20yContract 2026
Tkl/900.00
Sweeper-KeeperSmall Sample
89% match
N/A
#12
B
B. Bayrak
HB Køge · Superliga
Turkey21y
Tkl/900.00
Sweeper-Keeper
89% 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 Obed Nkambadio.
Ask AI about Obed Nkambadio →Frequently Asked Questions
Who are the best alternatives to Obed Nkambadio?▼
The top alternatives to Obed Nkambadio based on AI DNA playing style analysis include: Mitchel Michaelis, Wesley Zonneveld, Casper Radza, Bilal Bayazıt, Joey Houweling. 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 Obed Nkambadio in 2026?▼
Players with a similar profile to Obed Nkambadio in 2026 include Mitchel Michaelis (N/A), Wesley Zonneveld (N/A), Casper Radza (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Obed Nkambadio play and who plays similarly?▼
Obed Nkambadio plays as a Goalkeeper. Players with a comparable positional profile include Mitchel Michaelis (Netherlands, N/A); Wesley Zonneveld (Netherlands, N/A); Casper Radza (Denmark, N/A); Bilal Bayazıt (Netherlands, 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.