⬡ AI DNA · Live season

Schalke 04· 2024/2025 · Bundesliga · PARTIAL

Best Alternatives to Paul Friedrich Pöpperl

MidfielderGermany23yN/AFull profile →

CreatorCreativeDefensive

2.45KP/90

0.25G/90

0.00A/90

Based on 367 min · 2024/2025 · Bundesliga · PARTIAL

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

DNA matchPrioritizes Bundesliga & top-tier peers

Top 3 alternatives to Paul Friedrich Pöpperl

Jamal Musiala76% match
FC Bayern München · Bundesliga · €130.0M
Aleksandar Pavlovic76% match
FC Bayern München · Bundesliga · €75.0M
Lennart Karl76% match
FC Bayern München · Bundesliga · €60.0M

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Playing Style Analysis

CreatorCreativeDefensiveSmall Sample

Paul Friedrich Pöpperl is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (2.5 key passes/90), a regular goalscorer (0.25 goals/90), a dynamic dribbler (2.5/90), an aggressive ball-winner (3.7 tackles/90), creates high-quality scoring opportunities (2.21 big chances/90), heavily involved in play (54 touches/90), draws fouls effectively (2.2/90), top 10% creator in the league and top 10% tackler in the league. The three closest DNA matches to Paul Friedrich Pöpperl:

Jamal Musiala(76% match) — A Creator. Statistically, he stands out as an elite creator (2.2 key passes/90), a constant goal threat (4.0 shots/90), a proven goalscorer (0.40 goals/90), a prolific assist provider (0.53 assists/90), a dynamic dribbler (2.8/90), heavily involved in play (66 touches/90), draws fouls effectively (2.4/90) and top 10% creator in the league.
Aleksandar Pavlovic(76% match) — A Metronome. Statistically, he stands out as comfortable with both feet, a capable chance creator (1.3 key passes/90), meticulous in distribution (94% pass accuracy), heavily involved in possession (98 passes/90), penetrates with forward passing (11.5 final-third passes/90), central to possession (111 touches/90), switches play with precision (5.6 long balls/90, 80% accuracy) and active off the ball (2.5 press score/90), contributing to defensive transitions.
Lennart Karl(76% match) — A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.7 key passes/90), a constant goal threat (3.0 shots/90), a regular goalscorer (0.35 goals/90), a prolific assist provider (0.35 assists/90), active in the tackle (1.9 tackles/90), meticulous in distribution (86% pass accuracy), central to possession (79 touches/90), active off the ball (2.1 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

Jamal Musiala

FC Bayern München · Bundesliga

Germany23yContract 2030

KP/902.25

G/900.40

CreatorCreativeOut of form ↓

76% match

€130.0M

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Frequently Asked Questions

Who are the best alternatives to Paul Friedrich Pöpperl?▼

The top alternatives to Paul Friedrich Pöpperl based on AI DNA playing style analysis include: Jamal Musiala, Aleksandar Pavlovic, Lennart Karl, Angelo Stiller, Felix Nmecha. 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 Paul Friedrich Pöpperl in 2026?▼

Players with a similar profile to Paul Friedrich Pöpperl in 2026 include Jamal Musiala (€130.0M), Aleksandar Pavlovic (€75.0M), Lennart Karl (€60.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Paul Friedrich Pöpperl play and who plays similarly?▼

Paul Friedrich Pöpperl plays as a Midfielder. Players with a comparable positional profile include Jamal Musiala (Germany, €130.0M); Aleksandar Pavlovic (Germany, €75.0M); Lennart Karl (Germany, €60.0M); Angelo Stiller (Germany, €45.0M).

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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