AI DNA Similarity
Best Alternatives to Jacob Ambaek
Players most similar to Jacob Ambaek (Attacker, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Jacob Ambaek
- 1.Dan Agyei97% DNA match·Kocaelispor
- 2.Delano Ladan96% DNA match·Koninklijke HFC
- 3.Stefano Lilipaly96% DNA match·SC Cambuur
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
GoalsTop 23%
???Bottom 0%
“A Complete Forward....”
See Full Verdict + Share Card →Playing Style Analysis
Complete Forward
A Complete Forward. Statistically, he stands out as a constant goal threat (2.7 shots/90) and a regular goalscorer (0.37 goals/90). The three most similar players to Jacob Ambaek by playing style are:
- Dan Agyei(97% match) — A Forward. Statistically, he stands out as a regular goalscorer (0.22 goals/90). However, he loses possession under pressure (2.4 dispossessed/90).
- Delano Ladan(96% match) — A Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a regular goalscorer (0.20 goals/90).
- Stefano Lilipaly(96% match) — A Forward. Statistically, he stands out as a regular goalscorer (0.22 goals/90) and 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
D
Dan Agyei
Kocaelispor · Super Lig
England28y
G/900.22
A/900.00
vs Ambaek: 10y older · -0.24 G/90
97% match
N/A
#2
D
Delano Ladan
Koninklijke HFC · Eredivisie
Netherlands26y
G/900.20
A/900.00
vs Ambaek: 8y older · -0.26 G/90
96% match
N/A
#3
S
Stefano Lilipaly
SC Cambuur · Eredivisie
Indonesia36y
G/900.22
A/900.22
vs Ambaek: 18y older · -0.24 G/90
96% match
N/A
#4
K
Kanga Akalé
Middelfart · Superliga
France21y
G/900.32
A/900.11
Complete Forward
Last 5: ↑ Hot96% match
N/A
#5
M
Morgan Bokele
Metz · Ligue 1
France22y
G/900.00
A/900.00
Small Sample
96% match
N/A
#6
C
C. Jensen
HB Køge · Superliga
Denmark26y
G/900.17
A/900.09
Complete Forward
Last 5: ↑ Hot95% match
N/A
#7
P
Patrick Mortensen
AGF · Superliga
Denmark36y
G/900.41
A/900.00
Target Man
Last 5: → Stable95% match
N/A
#8
D
Diego Ariel Duarte Gárcete
AVS · Liga Portugal
Paraguay24yContract 2026
G/900.22
A/900.07
95% match
N/A
#9
M
Mohamad Al Naser
HB Køge · Superliga
Jordan29y
G/900.32
A/900.00
Complete Forward
Last 5: ↓ Dip95% match
N/A
#10
G
Gustav Ølsted Marcussen
Fredericia · Superliga
Denmark27y
G/900.26
A/900.09
95% match
N/A
#11
O
Oumar Camara
Vitória Guimarães · Liga Portugal
France19yContract 2029
G/900.32
A/900.13
Inside Forward
Last 5: ↓ Dip95% match
N/A
#12
A
Anders Jacobsen
Vejle Boldklub · Superliga
Denmark36y
G/900.37
A/900.00
Small Sample
95% 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 Jacob Ambaek.
Ask AI about Jacob Ambaek →Frequently Asked Questions
Who are the best alternatives to Jacob Ambaek?▼
The top alternatives to Jacob Ambaek based on AI DNA playing style analysis include: Dan Agyei, Delano Ladan, Stefano Lilipaly, Kanga Akalé, Morgan Bokele. 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 Jacob Ambaek in 2026?▼
Players with a similar profile to Jacob Ambaek in 2026 include Dan Agyei (N/A), Delano Ladan (N/A), Stefano Lilipaly (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jacob Ambaek play and who plays similarly?▼
Jacob Ambaek plays as a Attacker. Players with a comparable positional profile include Dan Agyei (England, N/A); Delano Ladan (Netherlands, N/A); Stefano Lilipaly (Indonesia, N/A); Kanga Akalé (France, 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.