Best Alternatives to Flynn Downes

Top 3 Alternatives to Flynn Downes

1. 1.Curtis Jones84% DNA match·Liverpool€40.0M
2. 2.Josh Cullen83% DNA match·Burnley€6.0M
3. 3.Mats Wieffer83% DNA match·Brighton & Hove Albion€25.0M

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

Playing Style Analysis

Downes has built a quiet reputation as one of the Championship's most reliable circulation midfielders — a player whose value lives entirely in what doesn't go wrong. That 90.3% pass accuracy places him in the top 5% of league midfielders, meaning he's not just tidy, he's elite-level tidy, consistently threading the needle under pressure while others misplace routine balls. His interception numbers (top 20%) confirm genuine positional intelligence rather than reactive defending. The three most similar players to Flynn Downes by playing style are:

• Curtis Jones(84% match) — A Metronome. Statistically, he stands out as a capable chance creator (1.0 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (78 passes/90), penetrates with forward passing (10.4 final-third passes/90), central to possession (95 touches/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up.
• Josh Cullen(83% 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.
• Mats Wieffer(83% match) — A Ball-Winner. Statistically, he stands out as a reliable supplier (0.15 assists/90), an aggressive ball-winner (3.2 tackles/90), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (68 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league.

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