AI DNA Similarity
Best Alternatives to Julius Kade
Players most similar to Julius Kade (Midfielder, €500K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Creator in KNVB Beker. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a reliable supplier (0.18 assists/90) and creates high-quality scoring opportunities (0.64 big chances/90). The three most similar players to Julius Kade by playing style are:
- Grad Damen(97% match) — A Creator in KNVB Beker. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and reads the game exceptionally (1.8 interceptions/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).
- Nick Runderkamp(94% match) — A Midfielder in KNVB Beker. Statistically, he stands out as a reliable supplier (0.22 assists/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
G
Grad Damen
Kozakken Boys · Eredivisie
Netherlands28y
KP/901.36
G/900.15
Creator
97% match
N/A
#2
J
Jamie Jacobs
Almere City · Eredivisie
Netherlands28y
KP/901.06
G/900.24
Balanced Midfielder
94% match
N/A
#3
N
Nick Runderkamp
RKAV Volendam · Eredivisie
Netherlands29y
KP/900.00
G/900.15
94% match
N/A
#4
O
Odysseus Velanas
PEC Zwolle · Eredivisie
Netherlands27yContract 2026
KP/901.53
G/900.07
CreatorCreative
Last 5: ↑ Hot94% match
N/A
#5
R
Robin van Cruijsen
FC Volendam · Eredivisie
Netherlands20y
KP/902.36
G/900.33
CreatorCreative
Last 5: → Stable94% match
N/A
#6
T
Tom van der Werff
ACV · Eredivisie
Netherlands23y
KP/900.59
G/900.00
Balanced MidfielderSmall Sample
94% match
N/A
#7
G
Guus Til
PSV · Eredivisie
Netherlands28yContract 2028
KP/901.70
G/900.62
CreatorCreative
93% match
€15.0M
#8
D
David van der Werff
FC Groningen · Eredivisie
Netherlands21y
KP/901.89
G/900.11
CreatorCreative
Last 5: → Stable93% match
N/A
#9
F
Fatih Kamaci
Dongen · Eredivisie
Netherlands36y
KP/900.00
G/900.43
93% match
N/A
#10
M
Mart Remans
TOP Oss · Eredivisie
Netherlands27yContract 2026
KP/901.13
G/900.30
Creator
Last 5: ↓ Dip93% match
N/A
#11
I
Irakli Yegoian
Excelsior · Eredivisie
Georgia22y
KP/901.39
G/900.16
Creator
Last 5: → Stable93% match
N/A
#12
S
Sem Steijn
Feyenoord · Eredivisie
Netherlands24yContract 2029
KP/902.65
G/900.58
CreatorCreative
93% match
€14.0M
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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 Julius Kade.
Ask AI about Julius Kade →Frequently Asked Questions
Who are the best alternatives to Julius Kade?▼
The top alternatives to Julius Kade based on AI DNA playing style analysis include: Grad Damen, Jamie Jacobs, Nick Runderkamp, Odysseus Velanas, Robin van Cruijsen. 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 Julius Kade in 2026?▼
Players with a similar profile to Julius Kade in 2026 include Grad Damen (N/A), Jamie Jacobs (N/A), Nick Runderkamp (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Julius Kade play and who plays similarly?▼
Julius Kade plays as a Midfielder. Players with a comparable positional profile include Grad Damen (Netherlands, N/A); Jamie Jacobs (Netherlands, N/A); Nick Runderkamp (Netherlands, N/A); Odysseus Velanas (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.