AI DNA Similarity
Best Alternatives to Ebenezer Ofori
Players most similar to Ebenezer Ofori (Midfielder, €160K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Ebenezer Ofori
- 1.Luca Monticelli100% DNA match·Hellas Verona
- 2.Rafel Bauzà100% DNA match·Espanyol
- 3.David Suárez100% DNA match·Wehen Wiesbaden
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
AssistsTop 4%
???Bottom 0%
“A Balanced Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
Balanced Midfielder
A Balanced Midfielder. The three most similar players to Ebenezer Ofori by playing style are:
- Luca Monticelli(100% match) — A Balanced Midfielder.
- Rafel Bauzà(100% match) — A Box-to-Box. Statistically, he stands out as heavily involved in play (51 touches/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
- David Suárez(100% match) — A Balanced Midfielder.
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
L
Luca Monticelli
Hellas Verona · Serie A
Belgium21y
KP/900.76
G/900.13
Balanced Midfielder
vs Ofori: 9y younger
100% match
N/A
#2
R
Rafel Bauzà
Espanyol · La Liga
Spain21y
KP/900.95
G/900.00
Box-to-Box
Last 5: ↓ Dipvs Ofori: 9y younger
100% match
N/A
#3
D
David Suárez
Wehen Wiesbaden · Bundesliga
Spain25y
KP/900.07
G/900.06
Balanced Midfielder
vs Ofori: 5y younger
100% match
N/A
#4
M
Max de Waal
Willem II · Eredivisie
Netherlands24y
KP/900.28
G/900.19
94% match
N/A
#5
A
Alexandre Vincent
Les Herbiers · Ligue 1
France32y
KP/900.00
G/900.12
94% match
N/A
#6
K
Kyle De Silva
Sevenoaks Town · Eredivisie
England32y
KP/900.00
G/900.17
94% match
N/A
#7
C
Cas Dijkstra
Koninklijke HFC · Eredivisie
Netherlands24y
KP/900.71
G/900.19
94% match
N/A
#8
Y
Yusuf Özdemir
Alanyaspor · Super Lig
Turkey25yContract 2028
KP/900.99
G/900.10
94% match
N/A
#9
A
Ahmed Daghim
B 93 · Superliga
Denmark25y
KP/900.00
G/900.07
94% match
N/A
#10
M
Miguel Menino
Farense · Liga Portugal
Portugal23y
KP/900.58
G/900.10
Balanced Midfielder
92% match
N/A
#11
M
Mathis Picouleau
Concarneau · Ligue 1
France26y
KP/900.78
G/900.06
Balanced Midfielder
92% match
N/A
#12
A
Abdoulie Njai
Kolding IF · Superliga
Denmark28y
KP/900.49
G/900.21
Balanced Midfielder
92% 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 Ebenezer Ofori.
Ask AI about Ebenezer Ofori →Frequently Asked Questions
Who are the best alternatives to Ebenezer Ofori?▼
The top alternatives to Ebenezer Ofori based on AI DNA playing style analysis include: Luca Monticelli, Rafel Bauzà, David Suárez, Max de Waal, Alexandre Vincent. 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 Ebenezer Ofori in 2026?▼
Players with a similar profile to Ebenezer Ofori in 2026 include Luca Monticelli (N/A), Rafel Bauzà (N/A), David Suárez (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ebenezer Ofori play and who plays similarly?▼
Ebenezer Ofori plays as a Midfielder. Players with a comparable positional profile include Luca Monticelli (Belgium, N/A); Rafel Bauzà (Spain, N/A); David Suárez (Spain, N/A); Max de Waal (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.