Best Alternatives to Pere Pons

Top 3 Alternatives to Pere Pons

1. 1.Beñat Prados85% DNA match·Athletic Club€18.0M
2. 2.Sergi Darder84% DNA match·Mallorca€3.5M
3. 3.Baptiste Santamaria84% DNA match·Valencia€4.5M

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

Playing Style Analysis

Pons is a high-functioning tactical conduit whose capacity to pierce the final third belies his reputation as a mere industrial engine in a Tier-C setup. While his raw volume of 35.5 passes per 90 seems pedestrian, it is the intent behind them that demands attention; he ranks in the top 20% of the Europa League for progressive distribution, acting as a vertical springboard for teams that prefer to bypass the middle block. The counterintuitive reality of his profile lies in his defensive output: despite a worrying 25% duel win rate that suggests he is a lightweight in the pivot, his elite interception and aerial figures place him in the top 30% of his peers, proving he is a positional thief rather than a physical enforcer. The three most similar players to Pere Pons by playing style are:

• Beñat Prados(85% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.0 tackles/90), heavily involved in play (55 touches/90) and top 10% tackler in the league.
• Sergi Darder(84% match) — A Creator. Statistically, he stands out as an elite creator (2.2 key passes/90), a reliable supplier (0.17 assists/90), creates high-quality scoring opportunities (0.51 big chances/90), heavily involved in play (54 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league.
• Baptiste Santamaria(84% match) — A Box-to-Box. Statistically, he stands out as wins the physical battle (57% duel success), heavily involved in play (65 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. Note: this profile is based on 653 minutes of playing time this season.

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