RisingTransfers
AI DNA Similarity

Best Alternatives to Nicholas Opoku

Players most similar to Nicholas Opoku (Defender, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Nicholas Opoku

  1. 1.Kojo Peprah Oppong87% DNA match·Nice€4.0M
  2. 2.Emirhan Topçu86% DNA match·Beşiktaş€6.0M
  3. 3.Stefano Denswil84% DNA match·Kayserispor€6.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

Ball RecoveriesTop 20%
???Bottom 17%

Opoku is the quintessential "safety-first" distributor trapped in a low-tier Super Lig side...

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Playing Style Analysis

Ball-Playing CBAerial

Opoku is the quintessential "safety-first" distributor trapped in a low-tier Super Lig side, offering a polished technical floor that belies his modest surroundings. While his 90.4% pass accuracy places him in the league’s elite top 20%, don't mistake him for a deep-lying playmaker; his average volume of 41.6 passes per game suggests a player who prioritizes ball retention over high-risk verticality. The counterintuitive insight lies in his defensive profile: despite an imposing aerial presence—winning 1.95 headers per 90 (top 30%)—he is surprisingly passive on the deck, with a tackle rate and duel success percentage that sit well below league averages. The three most similar players to Nicholas Opoku by playing style are:

  • Kojo Peprah Oppong(87% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (4.8 clearances/90), meticulous in distribution (92% pass accuracy) and wins the physical battle (61% duel success). Note: this profile is based on 772 minutes of playing time this season.
  • Emirhan Topçu(86% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.5 tackles/90), commanding in the air (5.8 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (61% duel success), heavily involved in possession (61 passes/90), penetrates with forward passing (8.9 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (7.7/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Stefano Denswil(84% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.6 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (60% duel success) and uses long balls frequently (5.7/90).

Transfer Intelligence

Kojo Peprah Oppong delivers 87% of the same playing style, at a 167% premium over Nicholas Opoku, with 2.21 tackles won per 90 at age 21.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

N
Comparison Base
Nicholas Opoku
DefenderGhana€1.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
K
Kojo Peprah Oppong
Nice · Ligue 1
Ghana21yContract 2029
Tkl/902.21
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
vs Opoku: 7y younger
87% match
€4.0M
#2
E
Emirhan Topçu
Beşiktaş · Super Lig
Turkey25yContract 2028
Tkl/902.51
KP/900.55
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Opoku: 3y younger
86% match
€6.0M
#3
S
Stefano Denswil
Kayserispor · Super Lig
Suriname33y
Tkl/900.96
KP/900.23
Ball-Playing CBAerial
Last 5: ↓ Dip
vs Opoku: 5y older
84% match
€6.0M
#4
A
Abdul Mumin
Rayo Vallecano · La Liga
Ghana27yContract 2026
Tkl/901.82
KP/900.05
Ball-Playing CBAerial
84% match
€4.0M
#5
Ü
Ümit Akdağ
Alanyaspor · Super Lig
Romania22yContract 2028
Tkl/901.24
KP/900.62
Ball-Playing CBAerial
Last 5: ↑ Hot
84% match
€4.0M
#6
S
Samet Akaydin
Rizespor · Super Lig
Turkey32yContract 2026
Tkl/901.82
KP/900.46
Ball-Playing CBAerial
Last 5: → Stable
83% match
€3.7M
#7
M
Mateusz Wieteska
Kocaelispor · Super Lig
Poland29y
Tkl/901.50
KP/900.10
Ball-Playing CBBall-Playing
83% match
€5.0M
#8
A
Abdülkerim Bardakcı
Galatasaray · Super Lig
Turkey31yContract 2027
Tkl/901.45
KP/900.56
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€6.5M
#9
M
Modibo Sagnan
Rizespor · Super Lig
France27y
Tkl/902.29
KP/900.25
Reading DefenderAerial Defender
Last 5: ↑ Hot
84% match
€3.2M
#10
A
Arseniy Batagov
Trabzonspor · Super Lig
Ukraine24yContract 2028
Tkl/901.82
KP/900.62
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
82% match
€11.0M
#11
L
Louis Oppie
St. Pauli · Bundesliga
Germany23y
Tkl/900.99
KP/900.17
Small Sample
83% match
€3.0M
#12
R
Roland Sallai
Galatasaray · Super Lig
Hungary28yContract 2028
Tkl/901.79
KP/900.88
Active Full-Back
Last 5: → Stable
82% match
€12.0M

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 Nicholas Opoku.

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Frequently Asked Questions

Who are the best alternatives to Nicholas Opoku?
The top alternatives to Nicholas Opoku based on AI DNA playing style analysis include: Kojo Peprah Oppong, Emirhan Topçu, Stefano Denswil, Abdul Mumin, Ümit Akdağ. 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 Nicholas Opoku in 2026?
Players with a similar profile to Nicholas Opoku in 2026 include Kojo Peprah Oppong (€4.0M), Emirhan Topçu (€6.0M), Stefano Denswil (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nicholas Opoku play and who plays similarly?
Nicholas Opoku plays as a Defender. Players with a comparable positional profile include Kojo Peprah Oppong (Ghana, €4.0M); Emirhan Topçu (Turkey, €6.0M); Stefano Denswil (Suriname, €6.0M); Abdul Mumin (Ghana, €4.0M).
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.