Best Alternatives to Sam Adekugbe

Top 3 Alternatives to Sam Adekugbe

1. 1.Keita Kosugi82% DNA match·Eintracht Frankfurt€6.0M
2. 2.Chidozie Awaziem82% DNA match·Nantes€3.0M
3. 3.Michael Kayode81% DNA match·Brentford€35.0M

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

Playing Style Analysis

Adekugbe operates as a physical anomaly on the flank, blending the aerial dominance of a traditional center-half with the ball-dominant distribution of a modern inverted fullback. While the sample size is limited, his efficiency is undeniable; he is currently outperforming 95% of his MLS peers in both aerial and ground duel success rates, effectively turning his side of the pitch into a dead zone for attackers. His 89.8% pass accuracy and high volume of touches suggest a player who functions as an auxiliary playmaker, yet the most jarring data point is his goal-scoring rate—producing 0.62 goals per 90 from a defensive role is unsustainable but indicative of his elite timing in the box. The three most similar players to Sam Adekugbe by playing style are:

• Keita Kosugi(82% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a reliable supplier (0.19 assists/90), active in the tackle (2.5 tackles/90), central to possession (78 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
• Chidozie Awaziem(82% 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.
• Michael Kayode(81% match) — A Active Full-Back. Statistically, he stands out as active in the tackle (1.8 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (58% duel success) and active off the ball (2.5 press score/90), contributing to defensive transitions.

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