⬡ AI DNA · Live season

Sheriff· 2021/2022 · Ligue 1 · FULL

Best Alternatives to Papa Ndiaga Yade

AttackerSenegal26yN/AFull profile →

Dynamic ForwardDribblerSmall Sample

0.00G/90

0.38A/90

Based on 686 min · 2021/2022 · Ligue 1 · FULL

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

DNA matchPrioritizes Ligue 1 & top-tier peers

Top 3 alternatives to Papa Ndiaga Yade

Ousmane Dembélé76% match
Paris Saint Germain · Ligue 1 · €100.0M
Désiré Doué76% match
Paris Saint Germain · Ligue 1 · €90.0M
Khvicha Kvaratskhelia76% match
Paris Saint Germain · Ligue 1 · €90.0M

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Intelligence Verdict

InterceptionsTop 4%

???Bottom 1%

“A Dynamic Forward....”

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Playing Style Analysis

Dynamic ForwardDribblerSmall Sample

A Dynamic Forward. Statistically, he stands out as a dynamic dribbler (2.4/90). Note: this profile is based on 686 minutes of playing time this season. The three closest DNA matches to Papa Ndiaga Yade:

Ousmane Dembélé(76% match) — A Dynamic Forward. Statistically, he stands out as comfortable with both feet, an elite creator (3.5 key passes/90), a constant goal threat (3.8 shots/90), a proven goalscorer (0.85 goals/90), a prolific assist provider (0.59 assists/90), a dynamic dribbler (2.0/90), creates high-quality scoring opportunities (0.76 big chances/90), penetrates with forward passing (8.5 final-third passes/90), central to possession (80 touches/90) and top 10% scorer in the league.
Désiré Doué(76% match) — A Inside Forward. Statistically, he stands out as an elite creator (1.9 key passes/90), a constant goal threat (3.6 shots/90), a proven goalscorer (0.46 goals/90), a prolific assist provider (0.27 assists/90), a dynamic dribbler (2.1/90), meticulous in distribution (86% pass accuracy), central to possession (84 touches/90) and top 20% scorer in the league.
Khvicha Kvaratskhelia(76% match) — A Inside Forward. Statistically, he stands out as comfortable with both feet, an elite creator (2.1 key passes/90), a constant goal threat (3.9 shots/90), a proven goalscorer (0.49 goals/90), a reliable supplier (0.24 assists/90), a dynamic dribbler (2.7/90), meticulous in distribution (88% pass accuracy), central to possession (78 touches/90) and top 20% scorer 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

Ousmane Dembélé

Paris Saint Germain · Ligue 1

France29yContract 2028

G/900.85

A/900.59

Dynamic ForwardProlificIn form ↑

vs Yade: 3y older · +0.85 G/90

76% match

€100.0M

Ask about replacements for Yade

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Frequently Asked Questions

Who are the best alternatives to Papa Ndiaga Yade?▼

The top alternatives to Papa Ndiaga Yade based on AI DNA playing style analysis include: Ousmane Dembélé, Désiré Doué, Khvicha Kvaratskhelia, Bradley Barcola, Mason Greenwood. 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 Papa Ndiaga Yade in 2026?▼

Players with a similar profile to Papa Ndiaga Yade in 2026 include Ousmane Dembélé (€100.0M), Désiré Doué (€90.0M), Khvicha Kvaratskhelia (€90.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Papa Ndiaga Yade play and who plays similarly?▼

Papa Ndiaga Yade plays as a Attacker. Players with a comparable positional profile include Ousmane Dembélé (France, €100.0M); Désiré Doué (France, €90.0M); Khvicha Kvaratskhelia (Georgia, €90.0M); Bradley Barcola (France, €70.0M).

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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