Best Alternatives to Alexis Mac Allister
Players most similar to Alexis Mac Allister (Midfielder, €85.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Alexis Mac Allister
- 1.Enzo Fernández86% DNA match·Chelsea€90.0M
- 2.Ryan Gravenberch86% DNA match·Liverpool€90.0M
- 3.Moisés Caicedo86% DNA match·Chelsea€110.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Balanced Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
A Balanced Midfielder. Statistically, he stands out as a capable chance creator (1.1 key passes/90), meticulous in distribution (87% pass accuracy) and heavily involved in play (63 touches/90). The three most similar players to Alexis Mac Allister by playing style are:
- Enzo Fernández(86% match) — A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.28 goals/90), meticulous in distribution (87% pass accuracy), penetrates with forward passing (8.5 final-third passes/90), central to possession (76 touches/90) and top 10% creator in the league.
- Ryan Gravenberch(86% match) — A Metronome. Statistically, he stands out as meticulous in distribution (89% pass accuracy), wins the physical battle (58% duel success), central to possession (72 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
- Moisés Caicedo(86% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.0 tackles/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (92% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (66 passes/90), central to possession (81 touches/90) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up.
Transfer Intelligence
Enzo Fernández delivers 86% of the same playing style, with 1.99 key passes per 90 at age 25.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
Ask AI: Why are these players similar?
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