AI DNA Similarity

Best Alternatives to Yehvann Diouf

Players most similar to Yehvann Diouf (Goalkeeper, €9.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Yehvann Diouf

1.Dominik Greif85% DNA match·Olympique Lyonnais€8.0M
2.Brice Samba85% DNA match·Rennes€10.0M
3.Yvon Mvogo86% DNA match·Lorient€3.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

Intelligence Verdict

Aerials WonTop 7%

???Bottom 0%

“A Commanding Keeper....”

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Playing Style Analysis

Commanding KeeperSmall Sample

A Commanding Keeper. Statistically, he stands out as dominant in aerial duels (100% success), exceptionally busy shot-stopper (4.1 saves/90) and commands the box with authority (1.0 punches/90). Note: this profile is based on 630 minutes of playing time this season. The three most similar players to Yehvann Diouf by playing style are:

Dominik Greif(85% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (100% success). However, he concedes frequently (1.75/90).
Brice Samba(85% match) — A Sweeper-Keeper. Statistically, he stands out as naturally left-footed and dominant in aerial duels (80% success). However, he concedes frequently (1.83/90).
Yvon Mvogo(86% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and reliable in goal (3.1 saves/90). Note: this profile is based on 720 minutes of playing time this season.

Transfer Intelligence

Dominik Greif delivers 85% of the same playing style, at 11% lower cost (€8.0M vs €9.0M), and is 29 years old.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

Comparison Base

Yehvann Diouf

GoalkeeperFrance€9.0M

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Similar Players — Ranked by DNA Similarity

Dominik Greif

Olympique Lyonnais · Ligue 1

Slovakia29yContract 2029

Tkl/900.13

Traditional KeeperSmall Sample

France32yContract 2029

Switzerland31yContract 2027

Tkl/900.13

Sweeper-KeeperSmall Sample

vs Diouf: €6M cheaper · 5y older

86% match

€3.0M

Vasilios Barkas

FC Utrecht · Eredivisie

Belgium20yContract 2026

France21yContract 2030

Tkl/900.00

Traditional KeeperSmall Sample

84% match

€10.0M

Robin Roefs

Sunderland · Premier League

Netherlands23yContract 2030

France21yContract 2028

France30yContract 2028

Turkey25yContract 2029

Tkl/900.08

Sweeper-KeeperSmall Sample

Paris Saint Germain · Ligue 1

France24yContract 2030

Olympique Marseille · Ligue 1

Argentina33yContract 2027

Tkl/900.13

Sweeper-KeeperSmall Sample

83% match

€3.0M

Compare head-to-head:Diouf vs Greif →Diouf vs Samba →Diouf vs Mvogo →

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Ask AI: Why are these players similar?

Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Yehvann Diouf.

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Frequently Asked Questions

Who are the best alternatives to Yehvann Diouf?▼

The top alternatives to Yehvann Diouf based on AI DNA playing style analysis include: Dominik Greif, Brice Samba, Yvon Mvogo, Vasilios Barkas, Mike Penders. 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 Yehvann Diouf in 2026?▼

Players with a similar profile to Yehvann Diouf in 2026 include Dominik Greif (€8.0M), Brice Samba (€10.0M), Yvon Mvogo (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Yehvann Diouf play and who plays similarly?▼

Yehvann Diouf plays as a Goalkeeper. Players with a comparable positional profile include Dominik Greif (Slovakia, €8.0M); Brice Samba (France, €10.0M); Yvon Mvogo (Switzerland, €3.0M); Vasilios Barkas (Greece, €5.0M).

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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