⬡ AI DNA · Live season

Rosario Central· 2026 · Liga Profesional de Fútbol · PARTIAL

Best Alternatives to Pol Fernández

Central MidfieldArgentina34y€1.8MFull profile →

MetronomeCreativeSmall Sample

3.06KP/90

0.00G/90

0.26A/90

Based on 556 min · 2026 · Liga Profesional de Fútbol · PARTIAL

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

DNA matchPrioritizes Liga Profesional de Fútbol & top-tier peers

Top 3 alternatives to Pol Fernández

Pascal Groß98% match
Brighton & Hove Albion · Premier League · €3.5M
Douglas Luiz99% match
Aston Villa · Premier League · €25.0M
James Ward-Prowse99% match
Burnley · Premier League · €6.0M

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Playing Style Analysis

MetronomeCreativeSmall Sample

A Metronome. Statistically, he stands out as an elite creator (2.3 key passes/90), a reliable supplier (0.16 assists/90), meticulous in distribution (90% pass accuracy), wins the physical battle (57% duel success), heavily involved in play (67 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league. Note: this profile is based on 556 minutes of playing time this season. The three closest DNA matches to Pol Fernández:

Pascal Groß(98% match) — A Metronome. Statistically, he stands out as an elite creator (2.2 key passes/90), a reliable supplier (0.19 assists/90), meticulous in distribution (86% pass accuracy), central to possession (76 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league.
Douglas Luiz(99% match) — A Metronome. Statistically, he stands out as an elite creator (2.1 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (59% duel success), heavily involved in possession (63 passes/90), central to possession (82 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% creator in the league.
James Ward-Prowse(99% match) — A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), reads the game exceptionally (2.0 interceptions/90), meticulous in distribution (88% pass accuracy), wins the physical battle (56% duel success), creates high-quality scoring opportunities (0.79 big chances/90), delivers dangerous crosses (2.5 accurate crosses/90), penetrates with forward passing (10.7 final-third passes/90), central to possession (76 touches/90), uses long balls frequently (5.2/90), active off the ball (3.0 press score/90), contributing to defensive transitions and top 20% 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

Pascal Groß

Brighton & Hove Albion · Premier League

Germany35yContract 2027

KP/902.14

G/900.06

MetronomeCreativeSteady form

98% match

€3.5M

Compare Fernández vs Groß →

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Frequently Asked Questions

Who are the best alternatives to Pol Fernández?▼

The top alternatives to Pol Fernández based on AI DNA playing style analysis include: Pascal Groß, Douglas Luiz, James Ward-Prowse, Andrew Irving, Enzo Leopold. 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 Pol Fernández in 2026?▼

Players with a similar profile to Pol Fernández in 2026 include Pascal Groß (€3.5M), Douglas Luiz (€25.0M), James Ward-Prowse (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Pol Fernández play and who plays similarly?▼

Pol Fernández plays as a Midfielder. Players with a comparable positional profile include Pascal Groß (Germany, €3.5M); Douglas Luiz (Brazil, €25.0M); James Ward-Prowse (England, €6.0M); Andrew Irving (Scotland, €4.5M).

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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