Best Alternatives to Luke Thomas

Top 3 Alternatives to Luke Thomas

1. 1.Malick Thiaw85% DNA match·Newcastle United€45.0M
2. 2.Ian Maatsen86% DNA match·Aston Villa€25.0M
3. 3.Michael Kayode85% DNA match·Brentford€35.0M

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

Playing Style Analysis

A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.3 key passes/90), a reliable supplier (0.15 assists/90), active in the tackle (1.9 tackles/90) and commanding in the air (4.7 clearances/90). The three most similar players to Luke Thomas by playing style are:

• Malick Thiaw(85% match) — Thiaw has quietly become one of the Premier League's most complete defensive profiles — a towering centre-back who doesn't just win his battles, he wins them cleanly. His aerial win rate of 65.1% and duel success of 64.2% both sit in the league's top 20%, but the counterintuitive story is his attacking output: 0.16 goals per 90 and 0.98 shots per 90 place him in the top 10% among defenders, suggesting a genuine threat from set-pieces that opponents routinely underestimate. His pass accuracy of 90.6% reflects a ball-player comfortable in possession-heavy systems, and his above-average delivery into the final third adds genuine build-up value.
• Ian Maatsen(86% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.4 key passes/90), active in the tackle (2.3 tackles/90), meticulous in distribution (86% pass accuracy), central to possession (72 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
• Michael Kayode(85% match) — A Active Full-Back. Statistically, he stands out as active in the tackle (1.8 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (58% duel success) and active off the ball (2.5 press score/90), contributing to defensive transitions.

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