AI DNA Similarity
Best Alternatives to Daniel Bielica
Players most similar to Daniel Bielica (Goalkeeper, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Commanding Keeper in Eredivisie. Statistically, he stands out as dominant in aerial duels (89% success), reliable in goal (3.2 saves/90) and commands the box with authority (0.6 punches/90). The three most similar players to Daniel Bielica by playing style are:
- Jort Borgmans(100% match) — A Commanding Keeper in Eredivisie. Statistically, he stands out as dominant in aerial duels (85% success), reliable in goal (3.6 saves/90) and commands the box with authority (0.8 punches/90).
- Youri Schoonderwaldt(100% match) — A Commanding Keeper in Eredivisie. Statistically, he stands out as dominant in aerial duels (90% success), reliable in goal (3.7 saves/90) and commands the box with authority (0.8 punches/90).
- Trevor Doornbusch(100% match) — A Commanding Keeper in Eredivisie. Statistically, he stands out as dominant in aerial duels (80% success), reliable in goal (3.5 saves/90) and commands the box with authority (0.9 punches/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
J
Jort Borgmans
FC Eindhoven · Eredivisie
Netherlands23yContract 2026
Tkl/900.00
Commanding Keeper
100% match
N/A
#2
Y
Youri Schoonderwaldt
VVV-Venlo · Eredivisie
Netherlands26yContract 2026
Tkl/900.15
Commanding Keeper
100% match
N/A
#3
T
Trevor Doornbusch
VVV-Venlo · Eredivisie
Curaçao26yContract 2027
Tkl/900.00
Commanding Keeper
100% match
N/A
#4
J
Jari De Busser
Go Ahead Eagles · Eredivisie
Belgium26yContract 2027
Tkl/900.00
Commanding Keeper
99% match
N/A
#5
T
Tom de Graaff
PEC Zwolle · Eredivisie
Netherlands21yContract 2026
Tkl/900.12
Commanding Keeper
99% match
N/A
#6
B
Bernt Klaverboer
SC Heerenveen · Eredivisie
Netherlands20y
Tkl/900.00
Commanding Keeper
99% match
N/A
#7
N
Nick Olij
PSV · Eredivisie
Netherlands30yContract 2029
Tkl/900.00
Commanding Keeper
99% match
€3.0M
#8
R
Roy Steur
FC Volendam · Eredivisie
Netherlands21y
Tkl/900.00
Commanding KeeperSmall Sample
99% match
N/A
#9
K
Kayne van Oevelen
FC Volendam · Eredivisie
Netherlands22y
Tkl/900.00
Commanding Keeper
99% match
N/A
#10
T
Tijn Smolenaars
PSV · Eredivisie
Netherlands21y
Tkl/900.00
Commanding Keeper
98% match
N/A
#11
S
Stijn van Gassel
Excelsior · Eredivisie
Netherlands29yContract 2027
Tkl/900.00
Commanding Keeper
98% match
N/A
#12
R
Rome Jayden Owusu-Oduro
AZ · Eredivisie
Netherlands21yContract 2030
Tkl/900.00
Traditional Keeper
97% match
€7.0M
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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 Daniel Bielica.
Ask AI about Daniel Bielica →Frequently Asked Questions
Who are the best alternatives to Daniel Bielica?▼
The top alternatives to Daniel Bielica based on AI DNA playing style analysis include: Jort Borgmans, Youri Schoonderwaldt, Trevor Doornbusch, Jari De Busser, Tom de Graaff. 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 Daniel Bielica in 2026?▼
Players with a similar profile to Daniel Bielica in 2026 include Jort Borgmans (N/A), Youri Schoonderwaldt (N/A), Trevor Doornbusch (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Daniel Bielica play and who plays similarly?▼
Daniel Bielica plays as a Goalkeeper. Players with a comparable positional profile include Jort Borgmans (Netherlands, N/A); Youri Schoonderwaldt (Netherlands, N/A); Trevor Doornbusch (Curaçao, N/A); Jari De Busser (Belgium, 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.