AI DNA Similarity
Best Alternatives to Kojo Peprah Oppong
Players most similar to Kojo Peprah Oppong (Defender, €4.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Kojo Peprah Oppong
- 1.Samson Baidoo87% DNA match·Lens€12.0M
- 2.Gideon Mensah87% DNA match·Auxerre€3.5M
- 3.Odilon Kossounou86% DNA match·Atalanta€22.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Aerials WonTop 20%
???Bottom 25%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBAerialSmall Sample
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. The three most similar players to Kojo Peprah Oppong by playing style are:
- Samson Baidoo(87% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.0 tackles/90), commanding in the air (4.4 clearances/90), meticulous in distribution (92% pass accuracy), strong in aerial duels (3.2 aerials won/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. Note: this profile is based on 637 minutes of playing time this season.
- Gideon Mensah(87% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, active in the tackle (1.8 tackles/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. Note: this profile is based on 888 minutes of playing time this season.
- Odilon Kossounou(86% match) — Kossounou has carved out a rare niche in Serie A's defensive landscape: a centre-back who builds play with the precision of a deep-lying midfielder while quietly contributing to the scoresheet. His 92.7% pass accuracy places him in the top 5% of defenders in the division—not just neat sideways passes, but 5.27 progressive balls into the final third per 90, suggesting genuine intent to break lines. His goal contribution rate sits in the top 20%, a counterintuitive figure that reveals an underrated offensive threat from set-pieces that opponents routinely underestimate.
Transfer Intelligence
Samson Baidoo delivers 87% of the same playing style, at a 200% premium over Kojo Peprah Oppong, with 1.98 tackles won per 90 at age 22.
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
S
Samson Baidoo
Lens · Ligue 1
Austria22yContract 2030
Tkl/901.98
KP/900.28
Ball-Playing CBAerial
Last 5: → Stablevs Oppong: €8M more expensive
87% match
€12.0M
#2
G
Gideon Mensah
Auxerre · Ligue 1
Ghana27yContract 2026
Tkl/901.82
KP/900.61
Active Full-BackSmall Sample
Last 5: → Stablevs Oppong: 6y older
87% match
€3.5M
#3
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stablevs Oppong: €18M more expensive · 4y older
86% match
€22.0M
#4
M
Moussa Niakhaté
Olympique Lyonnais · Ligue 1
Senegal30yContract 2028
Tkl/900.85
KP/900.36
Ball-Playing CBBall-Playing
Last 5: ↑ Hot86% match
€15.0M
#5
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable86% match
€4.0M
#6
J
Josh Acheampong
Chelsea · Premier League
England20yContract 2029
Tkl/901.54
KP/900.31
Active Full-BackBall-Playing
Last 5: ↑ Hot86% match
€20.0M
#7
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip85% match
€8.0M
#8
S
Sinaly Diomandé
Auxerre · Ligue 1
Ivory Coast25yContract 2027
Tkl/901.34
KP/900.22
Ball-Playing CBAerial
Last 5: → Stable86% match
€4.0M
#9
A
Abakar Sylla
Nantes · Ligue 1
Ivory Coast23yContract 2028
Tkl/902.52
KP/900.11
Ball-Playing CBBall-Playing
86% match
€3.0M
#10
J
Jeremie Frimpong
Liverpool · Eredivisie
Netherlands25yContract 2030
Tkl/901.05
KP/901.23
Active Full-Back
Last 5: ↑ Hot86% match
€38.0M
#11
L
Louis Oppie
St. Pauli · Bundesliga
Germany23y
Tkl/900.99
KP/900.17
Small Sample
85% match
€3.0M
#12
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot85% match
€45.0M
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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 Kojo Peprah Oppong.
Ask AI about Kojo Peprah Oppong →Frequently Asked Questions
Who are the best alternatives to Kojo Peprah Oppong?▼
The top alternatives to Kojo Peprah Oppong based on AI DNA playing style analysis include: Samson Baidoo, Gideon Mensah, Odilon Kossounou, Moussa Niakhaté, Antoine Mendy. 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 Kojo Peprah Oppong in 2026?▼
Players with a similar profile to Kojo Peprah Oppong in 2026 include Samson Baidoo (€12.0M), Gideon Mensah (€3.5M), Odilon Kossounou (€22.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kojo Peprah Oppong play and who plays similarly?▼
Kojo Peprah Oppong plays as a Defender. Players with a comparable positional profile include Samson Baidoo (Austria, €12.0M); Gideon Mensah (Ghana, €3.5M); Odilon Kossounou (Ivory Coast, €22.0M); Moussa Niakhaté (Senegal, €15.0M).
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.