Best Alternatives to Jacob Greaves
Players most similar to Jacob Greaves (Defender, €14.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Jacob Greaves
- 1.Joe Worrall85% DNA match·Burnley€4.0M
- 2.Jake O'Brien84% DNA match·Everton€16.0M
- 3.James Hill85% DNA match·AFC Bournemouth€15.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (6.6 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (64% duel success), penetrates with forward passing (8.1 final-third passes/90), central to possession (75 touches/90) and dominant in the air (5.2 aerials won/90, 68%). The three most similar players to Jacob Greaves by playing style are:
- Joe Worrall(85% match) — A Physical Stopper. Statistically, he stands out as a reliable supplier (0.18 assists/90), commanding in the air (10.9 clearances/90) and strong in aerial duels (3.8 aerials won/90). Note: this profile is based on 496 minutes of playing time this season.
- Jake O'Brien(84% match) — A Defender. Statistically, he stands out as commanding in the air (4.2 clearances/90), wins the physical battle (62% duel success) and dominant in the air (3.4 aerials won/90, 65%).
- James Hill(85% match) — A Physical Stopper. Statistically, he stands out as commanding in the air (7.3 clearances/90), reads the game exceptionally (1.7 interceptions/90), wins the physical battle (66% duel success), dominant in the air (5.0 aerials won/90, 66%), uses long balls frequently (7.5/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
Transfer Intelligence
Joe Worrall delivers 85% of the same playing style, at 71% lower cost (€4.0M vs €14.0M), with 0.73 tackles won per 90 at age 29.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
Ask AI: Why are these players similar?
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