RisingTransfers
⬡ AI DNA · Live season
Melbourne City

Best Alternatives to Patrick Beach

GoalkeeperAustralia22yN/AFull profile →
Sweeper-Keeper
0.00G/90
0.00A/90

Based on 2,280 min · 2025/2026 · A-League Men · 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 A-League Men 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 Patrick Beach

  1. Dennis Seimen99% match

    Paderborn · Bundesliga

  2. Jonas Kersken99% match

    DSC Arminia Bielefeld · Bundesliga

  3. Felix Gebhardt98% match

    Jahn Regensburg · Bundesliga

Style DNA can match players in weaker leagues. List below blends vector similarity with A-League Men 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

Goals ConcededTop 17%
???Bottom 0%

A Sweeper-Keeper....

See Full Verdict + Share Card →

Playing Style Analysis

Sweeper-Keeper

A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and commands the box with authority (0.7 punches/90). The three closest DNA matches to Patrick Beach:

  • Dennis Seimen(99% match) A Commanding Keeper. Statistically, he stands out as dominant in aerial duels (100% success), reliable in goal (3.0 saves/90) and commands the box with authority (0.6 punches/90).
  • Jonas Kersken(99% match) A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (84% success) and commands the box with authority (0.8 punches/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).

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

Comparison Base
Patrick Beach
GoalkeeperAustraliaA-League MenN/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 Patrick Beach vs Dennis Seimen, Jonas Kersken, and Felix Gebhardt. Post to X or WhatsApp — DNA + season totals from RT.

Patrick Beach RT player card

Source · Patrick Beach

Dennis Seimen RT player card

Alt · Dennis Seimen

Jonas Kersken RT player card

Alt · Jonas Kersken

Felix Gebhardt RT player card

Alt · Felix Gebhardt

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

Ask about replacements for Beach

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