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AI DNA Similarity

Best Alternatives to Patrick Cutrone

Players most similar to Patrick Cutrone (Attacker, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Patrick Cutrone

  1. 1.Samuele Mulattieri85% DNA match·Sassuolo€6.0M
  2. 2.Andrea Pinamonti85% DNA match·Sassuolo€15.0M
  3. 3.Roberto Piccoli85% DNA match·Fiorentina€18.0M

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

RT

Intelligence Verdict

Aerials WonTop 17%
???Bottom 0%

A Forward....

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Playing Style Analysis

Small Sample

A Forward. Statistically, he stands out as a constant goal threat (2.5 shots/90). Note: this profile is based on 895 minutes of playing time this season. The three most similar players to Patrick Cutrone by playing style are:

  • Samuele Mulattieri(85% match)Mulattieri is the kind of striker who wins headers in Serie A but struggles to win the ball at his feet—a physical presence in the box who remains curiously invisible in open play. His aerial win rate sits above the league average for attackers, a legitimate weapon in the right system, and his dribble volume places him in the top 20%—suggesting more directness than his overall profile implies. The counterintuitive read here: his low pass volume isn't laziness, it's positioning; he operates in tight spaces where recycling the ball simply isn't his job.
  • Andrea Pinamonti(85% match)A Target Man. Statistically, he stands out as a prolific assist provider (0.25 assists/90). Note: this profile is based on 713 minutes of playing time this season.
  • Roberto Piccoli(85% match)Piccoli is the kind of striker Serie A defences respect in the air but rarely fear on the ball—a blunt instrument with genuine aerial menace in a league that still values it. His 3.06 aerial wins per 90 place him comfortably in the top 20% of attackers, and his shot volume matches that tier too, suggesting a forward who gets into positions even if he doesn't always finish them. Here's the counterintuitive part: that dismal pass accuracy—bottom 10% in the league—isn't necessarily laziness or sloppiness.

Transfer Intelligence

Samuele Mulattieri delivers 85% of the same playing style, at a 20% premium over Patrick Cutrone, and is 25 years old.

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

P
Comparison Base
Patrick Cutrone
AttackerItaly€5.0M
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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 Patrick Cutrone.

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Frequently Asked Questions

Who are the best alternatives to Patrick Cutrone?
The top alternatives to Patrick Cutrone based on AI DNA playing style analysis include: Samuele Mulattieri, Andrea Pinamonti, Roberto Piccoli, Francesco Camarda, Samu Castillejo. 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 Cutrone in 2026?
Players with a similar profile to Patrick Cutrone in 2026 include Samuele Mulattieri (€6.0M), Andrea Pinamonti (€15.0M), Roberto Piccoli (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Patrick Cutrone play and who plays similarly?
Patrick Cutrone plays as a Attacker. Players with a comparable positional profile include Samuele Mulattieri (Italy, €6.0M); Andrea Pinamonti (Italy, €15.0M); Roberto Piccoli (Italy, €18.0M); Francesco Camarda (Italy, €15.0M).
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.