Best Alternatives to P. Langhoff

Playing Style Analysis

A Metronome in Superliga. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a reliable supplier (0.17 assists/90), an aggressive ball-winner (3.0 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (58% duel success), penetrates with forward passing (8.8 final-third passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (76 touches/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league. The three most similar players to P. Langhoff by playing style are:

• Rasmus Falk(99% match) — A Metronome in Superliga. Statistically, he stands out as a capable chance creator (1.3 key passes/90), active in the tackle (2.5 tackles/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (66 passes/90), penetrates with forward passing (8.1 final-third passes/90), central to possession (82 touches/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up.
• Caleb Yirenkyi(99% match) — A Metronome in Superliga. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a reliable supplier (0.24 assists/90), active in the tackle (2.0 tackles/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (64 passes/90), central to possession (80 touches/90) and a high-intensity presser (press score 3.7/90), constantly disrupting opposition build-up.
• Robert Kakeeto(98% match) — A Metronome in Superliga. Statistically, he stands out as an aggressive ball-winner (2.8 tackles/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (87% pass accuracy), central to possession (72 touches/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up 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 →