Best Alternatives to Will Reilly

Top 3 Alternatives to Will Reilly

1. 1.Matt O'Riley83% DNA match·Brighton & Hove Albion€20.0M
2. 2.Tijjani Reijnders82% DNA match·Manchester City€60.0M
3. 3.Amir Richardson82% DNA match·FC København€9.0M

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

Playing Style Analysis

A Box-to-Box. Statistically, he stands out as active in the tackle (2.0 tackles/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (86% pass accuracy), heavily involved in play (68 touches/90), draws fouls effectively (2.5/90) and a high-intensity presser (press score 3.7/90), constantly disrupting opposition build-up. However, he loses possession under pressure (1.6 dispossessed/90). The three most similar players to Will Reilly by playing style are:

• Matt O'Riley(83% match) — A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.5 key passes/90), a reliable supplier (0.24 assists/90), active in the tackle (2.1 tackles/90), meticulous in distribution (88% pass accuracy), creates high-quality scoring opportunities (0.59 big chances/90), heavily involved in play (64 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 762 minutes of playing time this season.
• Tijjani Reijnders(82% match) — A Midfielder. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a constant goal threat (2.6 shots/90), a regular goalscorer (0.29 goals/90), meticulous in distribution (89% pass accuracy) and heavily involved in play (61 touches/90).
• Amir Richardson(82% match) — A Box-to-Box. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), meticulous in distribution (88% pass accuracy), heavily involved in play (69 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% tackler in the league. However, he prone to committing fouls (2.7/90).

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