Best Alternatives to Tommy Doyle

Top 3 Alternatives to Tommy Doyle

1. 1.Tim Iroegbunam84% DNA match·Everton€12.0M
2. 2.Josh Cullen84% DNA match·Burnley€6.0M
3. 3.Antoni Milambo83% DNA match·Brentford€20.0M

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

Playing Style Analysis

Doyle is the kind of midfielder who makes a Championship press box lean forward — not because he's flashy, but because he moves the game forward with quiet, persistent intent. His passes into the final third rank in the top 10% of Championship midfielders, and his 1.94 key passes per 90 place him in the top 20% — numbers that reveal a player consistently unlocking defensive lines rather than recycling possession sideways. Here's the counterintuitive part: his 78.3% pass accuracy looks damning until you realise it's the price of ambition — he's attempting the difficult ball others don't bother with. The three most similar players to Tommy Doyle by playing style are:

• Tim Iroegbunam(84% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (4.2 tackles/90), wins the physical battle (57% duel success), wins the ball cleanly (2.8 successful tackles/90), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up and top 10% tackler in the league. However, he loses possession under pressure (1.6 dispossessed/90).
• Josh Cullen(84% match) — A Balanced Midfielder. Statistically, he stands out as active in the tackle (1.8 tackles/90), wins the physical battle (55% duel success), penetrates with forward passing (9.2 final-third passes/90), heavily involved in play (64 touches/90), uses long balls frequently (5.7/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
• Antoni Milambo(83% match) — A Creator. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a reliable supplier (0.23 assists/90) and creates high-quality scoring opportunities (0.59 big chances/90).

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