Best Alternatives to Dimitri Payet

Top 3 Alternatives to Dimitri Payet

1. 1.Paul Pogba82% DNA match·Monaco€5.0M
2. 2.Pablo Fornals82% DNA match·Real Betis€8.0M
3. 3.Lucas Paquetá81% DNA match·Flamengo€35.0M

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

Playing Style Analysis

Payet remains one of football's great anachronisms—a creator who bends matches to his will through vision and technique rather than athleticism or industry. His 2.19 key passes per 90 places him in the top 20% of Serie A midfielders, and when you combine that with goals and assists both sitting in the same elite bracket, you're looking at a genuine output midfielder, not merely a facilitator. The counterintuitive read here is his duel win rate: at 51.4%, above average in a physically demanding league, suggesting he's shrewder in contact situations than his age and style imply. The three most similar players to Dimitri Payet by playing style are:

• Paul Pogba(82% match) — A Creator. Statistically, he stands out as comfortable with both feet, an elite creator (1.6 key passes/90), a prolific assist provider (0.60 assists/90) and a dynamic dribbler (2.6/90).
• Pablo Fornals(82% match) — A Creator. Statistically, he stands out as an elite creator (2.6 key passes/90), a regular goalscorer (0.25 goals/90), a reliable supplier (0.21 assists/90), meticulous in distribution (86% pass accuracy), penetrates with forward passing (8.1 final-third passes/90), central to possession (74 touches/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league.
• Lucas Paquetá(81% match) — A Creator. Statistically, he stands out as naturally left-footed, a capable chance creator (1.4 key passes/90), a regular goalscorer (0.24 goals/90), active in the tackle (2.3 tackles/90), heavily involved in play (67 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.6 dispossessed/90).

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