⬡ AI DNA · Live season

Real Betis· 2025/2026 · La Liga · FULL

Best Alternatives to Pablo Fornals

Central MidfieldSpain30y€8.0MFull profile →

CreatorCreative

2.75KP/90

0.28G/90

0.19A/90

Based on 2,846 min · 2025/2026 · La Liga · FULL

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

DNA matchPrioritizes La Liga & top-tier peers

Top 3 alternatives to Pablo Fornals

Carlos Soler86% match
Real Sociedad · La Liga · €8.0M
Dani Ceballos85% match
Real Madrid · La Liga · €8.0M
Pedri80% match
FC Barcelona · La Liga · €140.0M

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

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Intelligence Verdict

Key PassesTop 2%

???Bottom 21%

“A Creator....”

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Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as an elite creator (2.8 key passes/90), a regular goalscorer (0.28 goals/90), a reliable supplier (0.19 assists/90), meticulous in distribution (87% pass accuracy), penetrates with forward passing (8.0 final-third passes/90), central to possession (74 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% creator in the league. The three closest DNA matches to Pablo Fornals:

Carlos Soler(86% match) — A Creator. Statistically, he stands out as an elite creator (1.9 key passes/90), a reliable supplier (0.17 assists/90), meticulous in distribution (88% pass accuracy), heavily involved in play (58 touches/90) and top 20% creator in the league.
Dani Ceballos(85% match) — A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), an aggressive ball-winner (3.3 tackles/90), meticulous in distribution (93% pass accuracy), wins the physical battle (65% duel success), heavily involved in possession (82 passes/90), penetrates with forward passing (12.2 final-third passes/90), wins the ball cleanly (1.8 successful tackles/90), central to possession (99 touches/90), draws fouls effectively (2.7/90), a high-intensity presser (press score 3.6/90), constantly disrupting opposition build-up and top 10% tackler in the league.
Pedri(80% match) — A Metronome. Statistically, he stands out as an elite creator (2.7 key passes/90), a prolific assist provider (0.38 assists/90), active in the tackle (2.1 tackles/90), meticulous in distribution (92% pass accuracy), wins the physical battle (62% duel success), heavily involved in possession (88 passes/90), penetrates with forward passing (12.2 final-third passes/90), central to possession (105 touches/90), switches play with precision (5.8 long balls/90, 69% accuracy), a high-intensity presser (press score 3.5/90), constantly disrupting opposition build-up 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

Carlos Soler

Real Sociedad · La Liga

Spain29yContract 2029

KP/901.77

G/900.16

CreatorCreativeOut of form ↓

86% match

€8.0M

Compare Fornals vs Soler →

Ask about replacements for Fornals

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Frequently Asked Questions

Who are the best alternatives to Pablo Fornals?▼

The top alternatives to Pablo Fornals based on AI DNA playing style analysis include: Carlos Soler, Dani Ceballos, Pedri, Federico Valverde, Eduardo Camavinga. 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 Pablo Fornals in 2026?▼

Players with a similar profile to Pablo Fornals in 2026 include Carlos Soler (€8.0M), Dani Ceballos (€8.0M), Pedri (€140.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Pablo Fornals play and who plays similarly?▼

Pablo Fornals plays as a Midfielder. Players with a comparable positional profile include Carlos Soler (Spain, €8.0M); Dani Ceballos (Spain, €8.0M); Pedri (Spain, €140.0M); Federico Valverde (Uruguay, €90.0M).

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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