⬡ AI DNA · Live season

AEK Larnaca· 2025/2026 · Europa League · PARTIAL

Best Alternatives to Pere Pons

MidfielderSpain33y€2.0MFull profile →

Small Sample

0.24KP/90

0.24G/90

0.00A/90

Based on 749 min · 2025/2026 · Europa League · PARTIAL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

Note: Top DNA style matches can come from lower leagues. We also surface Europa League peers ranked by market value and league tier — scroll the full list below.

DNA matchDNA style match · see league & value below

Top 3 alternatives to Pere Pons

Nicolás Fonseca85% match
Real Oviedo · La Liga · €3.0M
Baptiste Santamaria84% match
Valencia · La Liga · €4.5M

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Playing Style Analysis

Small Sample

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 closest DNA matches to Pere Pons:

Nicolás Fonseca(85% 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.
Baptiste Santamaria(84% match) — A Box-to-Box. Statistically, he stands out as wins the physical battle (59% duel success), heavily involved in play (65 touches/90), uses long balls frequently (5.1/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
Sergi Darder(84% match) — A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a reliable supplier (0.17 assists/90), wins the physical battle (56% duel success), heavily involved in play (55 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% creator in the league.

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

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Similar Players — Ranked by DNA Similarity

Nicolás Fonseca

Real Oviedo · La Liga

Italy27yContract 2026

KP/900.40

G/900.00

Ball-WinnerDefensiveOut of form ↓

vs Pons: 6y younger

85% match

€3.0M

Ask about replacements for Pons

Same DNA shortlist as above — budget fit, who to avoid, or why the top match works.

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Frequently Asked Questions

Who are the best alternatives to Pere Pons?▼

The top alternatives to Pere Pons based on AI DNA playing style analysis include: Nicolás Fonseca, Baptiste Santamaria, Sergi Darder, Marc Aguado, Michel Aebischer. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.

Which players are similar to Pere Pons in 2026?▼

Players with a similar profile to Pere Pons in 2026 include Nicolás Fonseca (€3.0M), Baptiste Santamaria (€4.5M), Sergi Darder (€3.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Pere Pons play and who plays similarly?▼

Pere Pons plays as a Midfielder. Players with a comparable positional profile include Nicolás Fonseca (Italy, €3.0M); Baptiste Santamaria (France, €4.5M); Sergi Darder (Spain, €3.5M); Marc Aguado (Spain, €3.0M).

How does Rising Transfers find similar players?▼

Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.

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