Best Alternatives to Alejandro Silva

Playing Style Analysis

Silva functions as a high-volume creative engine trapped in a Tier C engine room, operating with a statistical profile that leans more toward a second striker than a traditional central midfielder. While his 77.2% pass accuracy appears pedestrian, it is the tax paid for his relentless verticality; he sits in the top 5% for both assists and shots per game, proving he is the primary catalyst for every meaningful attack his side constructs. Counterintuitively, his high shot volume (2.01/90) doesn't signal selfishness but rather a tactical gravity that forces defenders to step out, opening lanes for his elite chance creation. The three closest DNA matches to Alejandro Silva:

• Mike Tresor(84% match) — A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a regular goalscorer (0.22 goals/90), a prolific assist provider (0.65 assists/90), creates high-quality scoring opportunities (0.60 big chances/90) and top 10% creator in the league.
• Sofiane Boufal(83% match) — A Creator. Statistically, he stands out as an elite creator (2.4 key passes/90), a prolific assist provider (0.38 assists/90), a dynamic dribbler (2.4/90), active in the tackle (2.2 tackles/90), creates high-quality scoring opportunities (0.56 big chances/90), heavily involved in play (58 touches/90), draws fouls effectively (2.7/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league.
• Nicolás Fonseca(83% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.6 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (85% pass accuracy), wins the ball cleanly (2.2 successful tackles/90), heavily involved in play (65 touches/90), switches play with precision (7.2 long balls/90, 68% accuracy), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →