⬡ AI DNA · Live season

Eintracht Frankfurt· 2025/2026 · Bundesliga · PARTIAL

Best Alternatives to Noah Fenyö

Defensive MidfieldHungary20yN/AFull profile →

Small Sample

0.26KP/90

0.52G/90

0.26A/90

Based on 345 min · 2025/2026 · 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 Noah Fenyö

Aleksandar Pavlovic76% match
FC Bayern München · Bundesliga · €75.0M
Angelo Stiller76% match
VfB Stuttgart · Bundesliga · €45.0M
Joshua Kimmich76% match
FC Bayern München · Bundesliga · €40.0M

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

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Playing Style Analysis

Small Sample

Dávid Noah Fenyö is a Midfielder. Solid midfield option. Statistically, he stands out as a proven goalscorer (0.52 goals/90), a prolific assist provider (0.26 assists/90) and wins the physical battle (60% duel success). (Limited sample: 345 mins) The three closest DNA matches to Noah Fenyö:

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.
Angelo Stiller(76% match) — A Metronome. Statistically, he stands out as an elite creator (1.9 key passes/90), a reliable supplier (0.20 assists/90), meticulous in distribution (88% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (76 passes/90), penetrates with forward passing (10.9 final-third passes/90), central to possession (92 touches/90), uses long balls frequently (5.6/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 20% creator in the league.
Joshua Kimmich(76% match) — A Metronome. Statistically, he stands out as an elite creator (2.3 key passes/90), a prolific assist provider (0.32 assists/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (105 passes/90), creates high-quality scoring opportunities (0.67 big chances/90), penetrates with forward passing (16.4 final-third passes/90), central to possession (121 touches/90), switches play with precision (8.9 long balls/90, 71% accuracy), active off the ball (2.4 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

Aleksandar Pavlovic

FC Bayern München · Bundesliga

Germany22yContract 2029

vs Fenyö: 2y older

Compare Fenyö vs Pavlovic →

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Frequently Asked Questions

Who are the best alternatives to Noah Fenyö?▼

The top alternatives to Noah Fenyö based on AI DNA playing style analysis include: Aleksandar Pavlovic, Angelo Stiller, Joshua Kimmich, Leon Avdullahu, Ezequiel Fernández. 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 Noah Fenyö in 2026?▼

Players with a similar profile to Noah Fenyö in 2026 include Aleksandar Pavlovic (€75.0M), Angelo Stiller (€45.0M), Joshua Kimmich (€40.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Noah Fenyö play and who plays similarly?▼

Noah Fenyö plays as a Midfielder. Players with a comparable positional profile include Aleksandar Pavlovic (Germany, €75.0M); Angelo Stiller (Germany, €45.0M); Joshua Kimmich (Germany, €40.0M); Leon Avdullahu (Switzerland, €25.0M).

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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