AI DNA Similarity
Best Alternatives to Mohamad Shaker
Players most similar to Mohamad Shaker (Attacker, €250K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Mohamad Shaker
- 1.Bryan Limbombe99% DNA match·Heracles Almelo
- 2.Axel Camblan98% DNA match·Clermont
- 3.Alessio Besio98% DNA match·Verl
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
AssistsTop 10%
???Bottom 13%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a reliable supplier (0.20 assists/90). The three most similar players to Mohamad Shaker by playing style are:
- Bryan Limbombe(99% match) — A Forward. Statistically, he stands out as a capable chance creator (1.3 key passes/90) and a reliable supplier (0.21 assists/90).
- Axel Camblan(98% match) — A Forward. Statistically, he stands out as a capable chance creator (1.4 key passes/90) and a reliable supplier (0.16 assists/90).
- Alessio Besio(98% match) — A Forward. Statistically, he stands out as an elite creator (1.8 key passes/90) and a reliable supplier (0.17 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
B
Bryan Limbombe
Heracles Almelo · Eredivisie
Belgium24y
G/900.07
A/900.21
vs Shaker: 5y younger · -0.09 G/90
99% match
N/A
#2
A
Axel Camblan
Clermont · Ligue 1
France22y
G/900.00
A/900.13
vs Shaker: 7y younger
98% match
N/A
#3
A
Alessio Besio
Verl · Bundesliga
Switzerland22y
G/900.09
A/900.17
vs Shaker: 7y younger · -0.07 G/90
98% match
N/A
#4
E
Edoly Lukoki
FC Eindhoven · Eredivisie
France21y
G/900.00
A/900.20
98% match
N/A
#5
I
Iman Griffith
Roda JC Kerkrade · Eredivisie
Netherlands24y
G/900.22
A/900.22
98% match
N/A
#6
J
Jorg Schreuders
FC Groningen · Eredivisie
Netherlands21y
G/900.03
A/900.07
98% match
N/A
#7
G
Gyan de Regt
Excelsior · Eredivisie
Netherlands22yContract 2027
G/900.10
A/900.21
97% match
N/A
#8
F
Francisco Miguel Ribeiro Tomé Tavares Bondoso
Moreirense · Liga Portugal
Portugal30yContract 2027
G/900.05
A/900.19
98% match
N/A
#9
L
Landerson
Moreirense · Liga Portugal
Brazil19y
G/900.00
A/900.15
97% match
N/A
#10
N
Noah Jose Saviolo
Vitória Guimarães · Liga Portugal
Belgium22y
G/900.10
A/900.20
97% match
N/A
#11
J
Julien Lopez
Paris · Ligue 1
Algeria34y
G/900.00
A/900.00
97% match
N/A
#12
A
Andreas Smed
Hvidovre · Superliga
Denmark29y
G/900.08
A/900.23
Complete Forward
Last 5: ↓ Dip97% 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 Mohamad Shaker.
Ask AI about Mohamad Shaker →Frequently Asked Questions
Who are the best alternatives to Mohamad Shaker?▼
The top alternatives to Mohamad Shaker based on AI DNA playing style analysis include: Bryan Limbombe, Axel Camblan, Alessio Besio, Edoly Lukoki, Iman Griffith. 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 Mohamad Shaker in 2026?▼
Players with a similar profile to Mohamad Shaker in 2026 include Bryan Limbombe (N/A), Axel Camblan (N/A), Alessio Besio (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mohamad Shaker play and who plays similarly?▼
Mohamad Shaker plays as a Attacker. Players with a comparable positional profile include Bryan Limbombe (Belgium, N/A); Axel Camblan (France, N/A); Alessio Besio (Switzerland, N/A); Edoly Lukoki (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.