RisingTransfers
AI DNA Similarity

Best Alternatives to Keno

Players most similar to Keno (Attacker, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Keno

  1. 1.Nouha Dicko84% DNA match·Paris€3.8M
  2. 2.Mateo Joseph83% DNA match·Mallorca€3.5M
  3. 3.Mehdi Léris84% DNA match·Pisa

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

RT

Intelligence Verdict

AssistsTop 9%

A Inside Forward....

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Playing Style Analysis

Inside ForwardSmall Sample

A Inside Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a constant goal threat (3.0 shots/90), a prolific assist provider (0.36 assists/90), wins the physical battle (58% duel success) and draws fouls effectively (3.9/90). However, he loses possession under pressure (1.6 dispossessed/90). The three most similar players to Keno by playing style are:

  • Nouha Dicko(84% match)A Forward. Statistically, he stands out as a reliable supplier (0.20 assists/90) and creates high-quality scoring opportunities (0.59 big chances/90).
  • Mateo Joseph(83% match)A Forward. However, he loses possession under pressure (1.9 dispossessed/90).
  • Mehdi Léris(84% match)A Forward. Statistically, he stands out as an elite creator (1.7 key passes/90), a regular goalscorer (0.22 goals/90), a reliable supplier (0.22 assists/90) and wins the physical battle (57% duel success). Note: this profile is based on 805 minutes of playing time this season.

Transfer Intelligence

Nouha Dicko delivers 84% of the same playing style, at a 280% premium over Keno, with 0.07 goals per 90 at age 33. That's 39% of Keno's output in goals per 90 — a credible like-for-like option.

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

K
Comparison Base
Keno
AttackerBrazil€1.0M
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Similar Players — Ranked by DNA Similarity

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 Keno.

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Frequently Asked Questions

Who are the best alternatives to Keno?
The top alternatives to Keno based on AI DNA playing style analysis include: Nouha Dicko, Mateo Joseph, Mehdi Léris, Jorge Meireles, Jagvir Singh Sidhu. 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 Keno in 2026?
Players with a similar profile to Keno in 2026 include Nouha Dicko (€3.8M), Mateo Joseph (€3.5M), Mehdi Léris (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Keno play and who plays similarly?
Keno plays as a Attacker. Players with a comparable positional profile include Nouha Dicko (Mali, €3.8M); Mateo Joseph (England, €3.5M); Mehdi Léris (Algeria, N/A); Jorge Meireles (Portugal, 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.