Best Alternatives to Anthony Martial

Top 3 Alternatives to Anthony Martial

1. 1.Mason Greenwood87% DNA match·Olympique Marseille€55.0M
2. 2.Marcus Rashford87% DNA match·FC Barcelona€40.0M
3. 3.Antony86% DNA match·Real Betis€95.0M

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

Playing Style Analysis

Martial arrives in Liga MX carrying the ghost of a Manchester United career that never fully delivered—and yet the numbers here tell a quietly interesting story. His 0.29 assists/90 places him in the top 20% of attackers in the league, and his dribble rate matches that tier too, suggesting the silky, gliding movement that once made him so coveted hasn't entirely deserted him. The counterintuitive detail: his below-average shots/90 isn't laziness—it reflects a player operating more as a creative link than a finisher, evidenced by his above-average passes into the final third and a key pass rate in the top 30%. The three most similar players to Anthony Martial by playing style are:

• Mason Greenwood(87% match) — A Inside Forward. Statistically, he stands out as comfortable with both feet, an elite creator (2.2 key passes/90), a constant goal threat (3.9 shots/90), a proven goalscorer (0.91 goals/90), a prolific assist provider (0.34 assists/90), meticulous in distribution (85% pass accuracy), creates high-quality scoring opportunities (0.57 big chances/90) and top 10% scorer in the league. Note: this profile is based on 787 minutes of playing time this season.
• Marcus Rashford(87% match) — A Inside Forward. Statistically, he stands out as an elite creator (2.2 key passes/90), a constant goal threat (4.6 shots/90), a regular goalscorer (0.35 goals/90) and a prolific assist provider (0.44 assists/90).
• Antony(86% match) — A Inside Forward. Statistically, he stands out as an elite creator (2.1 key passes/90), a constant goal threat (3.3 shots/90), a regular goalscorer (0.36 goals/90) and a prolific assist provider (0.25 assists/90).

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