AI DNA Similarity
Best Alternatives to Nick Runderkamp
Players most similar to Nick Runderkamp (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Midfielder in KNVB Beker. Statistically, he stands out as a reliable supplier (0.22 assists/90). The three most similar players to Nick Runderkamp by playing style are:
- Mitchel Van Rosmalen(98% match) — A Midfielder in KNVB Beker. Statistically, he stands out as a reliable supplier (0.18 assists/90).
- Fatih Kamaci(97% match) — A Midfielder in KNVB Beker. Statistically, he stands out as a proven goalscorer (0.43 goals/90) and a reliable supplier (0.17 assists/90).
- Jamie Jacobs(94% match) — A Balanced Midfielder in KNVB Beker. Statistically, he stands out as a regular goalscorer (0.24 goals/90), a prolific assist provider (0.28 assists/90), active in the tackle (2.4 tackles/90) and creates high-quality scoring opportunities (0.66 big chances/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 Van Rosmalen
Blauw Geel '38 · Eredivisie
Netherlands24y
KP/900.72
G/900.00
Small Sample
98% match
N/A
#2
F
Fatih Kamaci
Dongen · Eredivisie
Netherlands36y
KP/900.00
G/900.43
97% match
N/A
#3
J
Jamie Jacobs
Almere City · Eredivisie
Netherlands28y
KP/901.06
G/900.24
Balanced Midfielder
94% match
N/A
#4
T
Tom van der Werff
ACV · Eredivisie
Netherlands23y
KP/900.59
G/900.00
Balanced MidfielderSmall Sample
94% match
N/A
#5
M
Max de Waal
Willem II · Eredivisie
Netherlands24y
KP/900.28
G/900.19
94% match
N/A
#6
C
Cas Dijkstra
Koninklijke HFC · Eredivisie
Netherlands24y
KP/900.71
G/900.19
94% match
N/A
#7
G
Grad Damen
Kozakken Boys · Eredivisie
Netherlands28y
KP/901.36
G/900.15
Creator
92% match
N/A
#8
J
Jesse Schuurman
IJsselmeervogels · Eredivisie
Netherlands28y
KP/900.30
G/900.00
Balanced Midfielder
93% match
N/A
#9
S
S. van Doorm
HHC · Eredivisie
Netherlands28y
KP/900.90
G/900.06
Box-to-Box
92% match
N/A
#10
D
Davy van den Berg
FC Utrecht · Eredivisie
Netherlands26y
KP/901.18
G/900.16
Balanced Midfielder
Last 5: → Stable90% match
N/A
#11
P
Pele Van Anholt
TEC · Eredivisie
Netherlands34y
KP/900.56
G/900.00
Ball-WinnerDefensive
91% match
N/A
#12
P
Pelle Clement
Sparta Rotterdam · Eredivisie
Netherlands29yContract 2028
KP/900.71
G/900.12
Box-to-Box
Last 5: → Stable90% match
€6.0M
⬡
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 Nick Runderkamp.
Ask AI about Nick Runderkamp →Frequently Asked Questions
Who are the best alternatives to Nick Runderkamp?▼
The top alternatives to Nick Runderkamp based on AI DNA playing style analysis include: Mitchel Van Rosmalen, Fatih Kamaci, Jamie Jacobs, Tom van der Werff, Max de Waal. 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 Nick Runderkamp in 2026?▼
Players with a similar profile to Nick Runderkamp in 2026 include Mitchel Van Rosmalen (N/A), Fatih Kamaci (N/A), Jamie Jacobs (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nick Runderkamp play and who plays similarly?▼
Nick Runderkamp plays as a Midfielder. Players with a comparable positional profile include Mitchel Van Rosmalen (Netherlands, N/A); Fatih Kamaci (Netherlands, N/A); Jamie Jacobs (Netherlands, N/A); Tom van der Werff (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.