AI DNA Similarity
Best Alternatives to S. van Doorm
Players most similar to S. van Doorm (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to S. van Doorm
- 1.Gino Fechner96% DNA match·Wehen Wiesbaden
- 2.Tika de Jonge96% DNA match·FC Groningen
- 3.Lundrim Hetemi96% DNA match·Vejle Boldklub
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
InterceptionsTop 7%
???Bottom 0%
“A Box-to-Box....”
See Full Verdict + Share Card →Playing Style Analysis
Box-to-Box
A Box-to-Box. Statistically, he stands out as active in the tackle (2.2 tackles/90) and reads the game exceptionally (1.5 interceptions/90). The three most similar players to S. van Doorm by playing style are:
- Gino Fechner(96% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.4 tackles/90) and wins the physical battle (56% duel success).
- Tika de Jonge(96% match) — A Balanced Midfielder. Statistically, he stands out as active in the tackle (2.2 tackles/90) and heavily involved in play (51 touches/90).
- Lundrim Hetemi(96% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (1.9 tackles/90) and heavily involved in play (54 touches/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
Gino Fechner
Wehen Wiesbaden · Bundesliga
Germany28y
KP/900.49
G/900.00
Box-to-Box
96% match
N/A
#2
T
Tika de Jonge
FC Groningen · Eredivisie
Netherlands23y
KP/900.96
G/900.14
Balanced Midfielder
Last 5: ↑ Hotvs Doorm: 6y younger
96% match
N/A
#3
L
Lundrim Hetemi
Vejle Boldklub · Superliga
Albania26y
KP/900.52
G/900.00
Box-to-Box
vs Doorm: 3y younger
96% match
N/A
#4
J
Jimmy Suárez
AEK Larnaca · La Liga
Spain29yContract 2026
KP/900.39
G/900.00
Box-to-Box
95% match
N/A
#5
K
Kenan Fatkic
Hansa Rostock · Bundesliga
Slovenia28yContract 2027
KP/900.99
G/900.00
Box-to-Box
94% match
N/A
#6
B
Baran Gezek
Eyüpspor · Super Lig
Turkey20y
KP/900.28
G/900.00
Box-to-Box
Last 5: → Stable93% match
N/A
#7
M
Matheus Dias
Nacional · Liga Portugal
Brazil24y
KP/900.50
G/900.00
Box-to-Box
Last 5: ↑ Hot93% match
N/A
#8
Z
Z. Hyltoft
Hobro · Superliga
Denmark30y
KP/900.41
G/900.10
Box-to-Box
Last 5: ↑ Hot93% match
N/A
#9
A
Ali Turap Bülbül
Ümraniyespor · Super Lig
Turkey21y
KP/900.52
G/900.05
Box-to-Box
Last 5: ↑ Hot93% match
N/A
#10
L
Luca Bazzoli
Ulm · Bundesliga
Germany25y
KP/900.64
G/900.00
Box-to-Box
92% match
N/A
#11
A
A. Håpnes
Aalborg BK · Superliga
Norway24y
KP/900.19
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot92% match
N/A
#12
M
Marius Tresor Doh
Fatih Karagümrük · Super Lig
22y
KP/900.71
G/900.00
Box-to-Box
Last 5: ↓ Dip92% 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 S. van Doorm.
Ask AI about S. van Doorm →Frequently Asked Questions
Who are the best alternatives to S. van Doorm?▼
The top alternatives to S. van Doorm based on AI DNA playing style analysis include: Gino Fechner, Tika de Jonge, Lundrim Hetemi, Jimmy Suárez, Kenan Fatkic. 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 S. van Doorm in 2026?▼
Players with a similar profile to S. van Doorm in 2026 include Gino Fechner (N/A), Tika de Jonge (N/A), Lundrim Hetemi (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does S. van Doorm play and who plays similarly?▼
S. van Doorm plays as a Midfielder. Players with a comparable positional profile include Gino Fechner (Germany, N/A); Tika de Jonge (Netherlands, N/A); Lundrim Hetemi (Albania, N/A); Jimmy Suárez (Spain, 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.