Best Alternatives to Scott McTominay
Players most similar to Scott McTominay (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Scott McTominay
- 1.Conor Gallagher87% DNA match·Tottenham Hotspur€35.0M
- 2.Callum McCowatt87% DNA match·Silkeborg IF
- 3.T. Hansen87% DNA match·Hobro
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“Scott McTominay is a Box-to-Box....”
See Full Verdict + Share Card →Playing Style Analysis
Scott McTominay is a Box-to-Box. Engine covering ground in attack and defense. Statistically, he stands out as a constant goal threat (3.0 shots/90), a regular goalscorer (0.32 goals/90), meticulous in distribution (88% pass accuracy), heavily involved in play (58 touches/90) and draws fouls effectively (2.3/90). The three most similar players to Scott McTominay by playing style are:
- Conor Gallagher(87% match) — Conor Gallagher is a Box-to-Box. Engine covering ground in attack and defense. Statistically, he stands out as a capable chance creator (1.5 key passes/90), a reliable supplier (0.20 assists/90), active in the tackle (2.5 tackles/90) and meticulous in distribution (94% pass accuracy).
- Callum McCowatt(87% match) — A Box-to-Box. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a constant goal threat (2.9 shots/90), a proven goalscorer (0.40 goals/90), a reliable supplier (0.18 assists/90), active in the tackle (1.8 tackles/90), heavily involved in play (65 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.7 dispossessed/90).
- T. Hansen(87% match) — A Box-to-Box. Statistically, he stands out as a regular goalscorer (0.22 goals/90), meticulous in distribution (85% pass accuracy), wins the physical battle (58% duel success), heavily involved in play (53 touches/90) and draws fouls effectively (2.4/90).
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
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