AI DNA Similarity
Best Alternatives to Nordin Bukala
Players most similar to Nordin Bukala (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Ball-Winner in Eredivisie. Statistically, he stands out as an aggressive ball-winner (3. The three most similar players to Nordin Bukala by playing style are:
- Marcelencio Esajas(99% match) — A Ball-Winner in Eredivisie. Statistically, he stands out as an aggressive ball-winner (2.
- Philip Brittijn(99% match) — A Ball-Winner in Eredivisie. Statistically, he stands out as an aggressive ball-winner (3.
- Alonzo Engwanda(99% match) — A Ball-Winner in Eredivisie. Statistically, he stands out as an aggressive ball-winner (3.
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
Marcelencio Esajas
TOP Oss · Eredivisie
Netherlands23yContract 2027
KP/900.67
G/900.08
Ball-WinnerDefensive
Last 5: ↓ Dip99% match
N/A
#2
P
Philip Brittijn
Fortuna Sittard · Eredivisie
Netherlands21yContract 2028
KP/900.47
G/900.14
Ball-WinnerDefensive
Last 5: ↓ Dip99% match
N/A
#3
A
Alonzo Engwanda
FC Utrecht · Eredivisie
Belgium23y
KP/900.24
G/900.00
Ball-WinnerDefensive
Last 5: → Stable99% match
N/A
#4
J
Jaygo van Ommeren
FC Utrecht · Eredivisie
Netherlands17y
KP/900.84
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip99% match
N/A
#5
A
Adam Carlén
Excelsior · Eredivisie
Sweden25yContract 2027
KP/900.46
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip99% match
N/A
#6
G
Gibson Yah
FC Volendam · Eredivisie
Netherlands22y
KP/900.51
G/900.00
Ball-WinnerDefensive
98% match
N/A
#7
N
Nick Fichtinger
PEC Zwolle · Eredivisie
Netherlands21yContract 2028
KP/900.46
G/900.00
Ball-WinnerDefensive
Last 5: → Stable98% match
N/A
#8
D
Driess Saddiki
VVV-Venlo · Eredivisie
Morocco29yContract 2026
KP/900.30
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot98% match
N/A
#9
S
Sem Scheperman
Heracles Almelo · Eredivisie
Netherlands23y
KP/900.42
G/900.13
Ball-WinnerDefensive
Last 5: ↓ Dip98% match
N/A
#10
P
Peer Koopmeiners
AZ · Eredivisie
Netherlands25yContract 2028
KP/901.02
G/900.05
Ball-WinnerDefensive
Last 5: ↑ Hot98% match
€8.0M
#11
D
Dyon Dorenbosch
FC Eindhoven · Eredivisie
Netherlands23yContract 2026
KP/900.67
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot98% match
N/A
#12
Y
Youri Regeer
Ajax · Eredivisie
Netherlands22yContract 2029
KP/900.49
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip98% match
€5.0M
⬡
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 Nordin Bukala.
Ask AI about Nordin Bukala →Frequently Asked Questions
Who are the best alternatives to Nordin Bukala?▼
The top alternatives to Nordin Bukala based on AI DNA playing style analysis include: Marcelencio Esajas, Philip Brittijn, Alonzo Engwanda, Jaygo van Ommeren, Adam Carlén. 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 Nordin Bukala in 2026?▼
Players with a similar profile to Nordin Bukala in 2026 include Marcelencio Esajas (N/A), Philip Brittijn (N/A), Alonzo Engwanda (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nordin Bukala play and who plays similarly?▼
Nordin Bukala plays as a Midfielder. Players with a comparable positional profile include Marcelencio Esajas (Netherlands, N/A); Philip Brittijn (Netherlands, N/A); Alonzo Engwanda (Belgium, N/A); Jaygo van Ommeren (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.