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⬡ AI DNA · Live season
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Best Alternatives to Marvin Keller

GoalkeeperSwitzerland23yN/AFull profile →
Sweeper-Keeper
0.00G/90
0.00A/90

Based on 3,420 min · 2025/2026 · Super League · FULL

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 Super 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 Marvin Keller

  1. Hans Christian Bernat99% match

    Karlsruher SC · Bundesliga

  2. Felix Gebhardt98% match

    Jahn Regensburg · Bundesliga

  3. Benjamin Uphoff98% match

    Hansa Rostock · Bundesliga

Style DNA can match players in weaker leagues. List below blends vector similarity with Super League peers by value and league tier.

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

Next: turn this shortlist into a card or a lineup.

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RT

Intelligence Verdict

???Bottom 0%

A Sweeper-Keeper....

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Playing Style Analysis

Sweeper-Keeper

A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (92% success) and reliable in goal (3.1 saves/90). However, he concedes frequently (1.82/90). The three closest DNA matches to Marvin Keller:

  • Hans Christian Bernat(99% match) A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (89% success) and reliable in goal (3.8 saves/90).
  • Felix Gebhardt(98% match) A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and commands the box with authority (0.5 punches/90).
  • Benjamin Uphoff(98% match) A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and keeps goals out effectively (0.41 conceded/90).

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

Comparison Base
Marvin Keller
GoalkeeperSwitzerlandSuper LeagueN/A

Similar Players — Ranked by DNA Similarity

Show 8 more matches

Top 8 shown first · 16 total ranked by DNA + league fit.

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Download RT stat cards for Marvin Keller vs Hans Christian Bernat, Felix Gebhardt, and Benjamin Uphoff. Post to X or WhatsApp — DNA + season totals from RT.

Marvin Keller RT player card

Source · Marvin Keller

Hans Christian Bernat RT player card

Alt · Hans Christian Bernat

Felix Gebhardt RT player card

Alt · Felix Gebhardt

Benjamin Uphoff RT player card

Alt · Benjamin Uphoff

Want a deeper take? Scroll to Ask RT below — same shortlist, multi-turn chat.

Ask about replacements for Keller

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 Marvin Keller?
The top alternatives to Marvin Keller based on AI DNA playing style analysis include: Hans Christian Bernat, Felix Gebhardt, Benjamin Uphoff, Tino Casali, Alfonso Herrero. 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 Marvin Keller in 2026?
Players with a similar profile to Marvin Keller in 2026 include Hans Christian Bernat (N/A), Felix Gebhardt (N/A), Benjamin Uphoff (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Marvin Keller play and who plays similarly?
Marvin Keller plays as a Goalkeeper. Players with a comparable positional profile include Hans Christian Bernat (Denmark, N/A); Felix Gebhardt (Germany, N/A); Benjamin Uphoff (Germany, N/A); Tino Casali (Austria, N/A).
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.