AI DNA Similarity
Best Alternatives to Jordi Mboula
Players most similar to Jordi Mboula (Attacker, €1.7M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Jordi Mboula
- 1.Dani van der Moot85% DNA match·Katwijk
- 2.Kobamelo Kodisang84% DNA match·Stellenbosch
- 3.Murilo de Souza Costa84% DNA match·Gil Vicente
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Key PassesTop 15%
???Bottom 0%
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. Statistically, he stands out as a reliable supplier (0.16 assists/90). The three most similar players to Jordi Mboula by playing style are:
- Dani van der Moot(85% match) — Dani van der Moot is a Forward. Versatile attacking option. Statistically, he stands out as a regular goalscorer (0.22 goals/90) and a reliable supplier (0.22 assists/90). (Limited sample: 414 mins)
- Kobamelo Kodisang(84% match) — A Forward. Statistically, he stands out as a capable chance creator (1.4 key passes/90) and a reliable supplier (0.17 assists/90).
- Murilo de Souza Costa(84% match) — Murilo De Souza Costa is a Forward. Versatile attacking option. Statistically, he stands out as a capable chance creator (1.3 key passes/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
Dani van der Moot
Katwijk · Eredivisie
Netherlands29y
G/900.22
A/900.22
Small Sample
vs Mboula: 2y older
85% match
N/A
#2
K
Kobamelo Kodisang
Stellenbosch · Liga Portugal
South Africa26y
G/900.06
A/900.17
84% match
N/A
#3
M
Murilo de Souza Costa
Gil Vicente · Liga Portugal
Brazil31y
G/900.40
A/900.14
vs Mboula: 4y older
84% match
N/A
#4
M
Martín Merquelanz
FC Andorra · La Liga
Spain30y
G/900.00
A/900.17
Small Sample
84% match
N/A
#5
Z
Zeki Amdouni
Burnley · Premier League
Switzerland25yContract 2028
G/900.32
A/900.06
84% match
€9.0M
#6
E
Enzo Stroo
Lisse · Eredivisie
Netherlands31y
G/900.00
A/900.22
Small Sample
84% match
N/A
#7
R
Roger Martí
Cádiz · La Liga
Spain35y
G/900.21
A/900.00
Small Sample
Last 5: ↓ Dip83% match
€3.0M
#8
M
Michael Breij
Roda JC Kerkrade · Eredivisie
Netherlands29y
G/900.58
A/900.17
83% match
N/A
#9
M
Manuel Torres
St Josephs FC · Bundesliga
Spain35y
G/900.00
A/900.24
Small Sample
84% match
N/A
#10
J
Jeffrey Adjei-Broni
Hvidovre · Superliga
Denmark22y
G/900.00
A/900.00
83% match
N/A
#11
E
Ença Fati
Al Jubail · Liga Portugal
Guinea-Bissau32y
G/900.00
A/900.26
Small Sample
84% match
N/A
#12
M
Martijn Berden
GVVV · Eredivisie
Netherlands28y
G/900.00
A/900.34
Small Sample
83% 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 Jordi Mboula.
Ask AI about Jordi Mboula →Frequently Asked Questions
Who are the best alternatives to Jordi Mboula?▼
The top alternatives to Jordi Mboula based on AI DNA playing style analysis include: Dani van der Moot, Kobamelo Kodisang, Murilo de Souza Costa, Martín Merquelanz, Zeki Amdouni. 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 Jordi Mboula in 2026?▼
Players with a similar profile to Jordi Mboula in 2026 include Dani van der Moot (N/A), Kobamelo Kodisang (N/A), Murilo de Souza Costa (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jordi Mboula play and who plays similarly?▼
Jordi Mboula plays as a Attacker. Players with a comparable positional profile include Dani van der Moot (Netherlands, N/A); Kobamelo Kodisang (South Africa, N/A); Murilo de Souza Costa (Brazil, N/A); Martín Merquelanz (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.