RisingTransfers
AI DNA Similarity

Best Alternatives to Vince Osuji

Players most similar to Vince Osuji (Defender, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Vince Osuji

  1. 1.Kojo Peprah Oppong86% DNA match·Nice€4.0M
  2. 2.Chidozie Awaziem84% DNA match·Nantes€3.0M
  3. 3.Felix Uduokhai84% DNA match·Beşiktaş€4.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 22%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.4 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (55% duel success), heavily involved in possession (79 passes/90), central to possession (91 touches/90), uses long balls frequently (5.7/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. The three most similar players to Vince Osuji by playing style are:

  • Kojo Peprah Oppong(86% 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.
  • Chidozie Awaziem(84% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.4 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (61% duel success) and uses long balls frequently (8.2/90). Note: this profile is based on 450 minutes of playing time this season.
  • Felix Uduokhai(84% match)Uduokhai is performing like a defensive cheat code in the Süper Lig, a statistical anomaly who combines the brute force of a traditional stopper with the refined distribution of a modern continental anchor. Dominating the air with a 77.8% win rate and mirroring that efficiency on the deck, he sits comfortably in the top 5% for total duel success, effectively turning his defensive third into a "no-fly zone." While his 62.6 passes per 90 suggest a typical ball-player, the counterintuitive reality is his proactive defensive aggression; he isn't just sitting back, as evidenced by his elite press intensity and high interception volume. However, his relative lack of ball-carrying—averaging a pedestrian 0.24 dribbles per 90—indicates a player who is perhaps too risk-averse when space opens up ahead of him.

Transfer Intelligence

Kojo Peprah Oppong delivers 86% of the same playing style, at a 33% premium over Vince Osuji, 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 →

V
Comparison Base
Vince Osuji
DefenderSweden€3.0M
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
86% match
€4.0M
#2
C
Chidozie Awaziem
Nantes · Ligue 1
Nigeria29yContract 2028
Tkl/901.60
KP/900.20
Ball-Playing CBAerial
vs Osuji: 9y older
84% match
€3.0M
#3
F
Felix Uduokhai
Beşiktaş · Super Lig
Germany28yContract 2027
Tkl/901.92
KP/900.24
Reading DefenderAerial Defender
Last 5: ↑ Hot
vs Osuji: 8y older
84% match
€4.0M
#4
C
Chadi Riad
Crystal Palace · Premier League
Morocco22yContract 2029
Tkl/901.62
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
83% match
€12.0M
#5
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€22.0M
#6
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip
82% match
€8.0M
#7
V
Víctor Chust
Elche · La Liga
Spain26yContract 2026
Tkl/902.73
KP/900.19
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
83% match
€4.0M
#8
S
Samson Baidoo
Lens · Ligue 1
Austria22yContract 2030
Tkl/901.98
KP/900.28
Ball-Playing CBAerial
Last 5: → Stable
82% match
€12.0M
#9
K
Keita Kosugi
Eintracht Frankfurt · Bundesliga
Japan20yContract 2031
Tkl/902.46
KP/901.88
Active Full-Back
82% match
€6.0M
#10
G
Gideon Mensah
Auxerre · Ligue 1
Ghana27yContract 2026
Tkl/901.82
KP/900.61
Active Full-BackSmall Sample
Last 5: → Stable
83% match
€3.5M
#11
T
Terry Yegbe
Metz · Ligue 1
Ghana25yContract 2029
Tkl/900.82
KP/900.27
Ball-Playing CBAerial
Last 5: → Stable
82% match
€3.0M
#12
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€28.0M

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 Vince Osuji.

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Frequently Asked Questions

Who are the best alternatives to Vince Osuji?
The top alternatives to Vince Osuji based on AI DNA playing style analysis include: Kojo Peprah Oppong, Chidozie Awaziem, Felix Uduokhai, Chadi Riad, Odilon Kossounou. 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 Vince Osuji in 2026?
Players with a similar profile to Vince Osuji in 2026 include Kojo Peprah Oppong (€4.0M), Chidozie Awaziem (€3.0M), Felix Uduokhai (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Vince Osuji play and who plays similarly?
Vince Osuji plays as a Defender. Players with a comparable positional profile include Kojo Peprah Oppong (Ghana, €4.0M); Chidozie Awaziem (Nigeria, €3.0M); Felix Uduokhai (Germany, €4.0M); Chadi Riad (Morocco, €12.0M).
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.