Best Alternatives to John Buckley

Top 3 Alternatives to John Buckley

1. 1.Ramiz Zerrouki82% DNA match·FC Twente€7.2M
2. 2.Josh Cullen82% DNA match·Burnley€6.0M
3. 3.Michel Aebischer82% DNA match·Pisa€4.0M

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

Playing Style Analysis

A Box-to-Box. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a reliable supplier (0.15 assists/90), active in the tackle (2.2 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (55% duel success), penetrates with forward passing (8.6 final-third passes/90), heavily involved in play (65 touches/90), switches play with precision (6.0 long balls/90, 60% accuracy) and active off the ball (2.6 press score/90), contributing to defensive transitions. The three most similar players to John Buckley by playing style are:

• Ramiz Zerrouki(82% match) — A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), active in the tackle (2.3 tackles/90), penetrates with forward passing (11.6 final-third passes/90), central to possession (73 touches/90), switches play with precision (7.7 long balls/90, 63% accuracy) and active off the ball (2.8 press score/90), contributing to defensive transitions.
• Josh Cullen(82% 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.
• Michel Aebischer(82% match) — A Balanced Midfielder. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (1.8 tackles/90), penetrates with forward passing (8.8 final-third passes/90), heavily involved in play (62 touches/90), uses long balls frequently (7.7/90) and active off the ball (2.9 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 →