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AI DNA Similarity

Best Alternatives to Marco Carnesecchi

Players most similar to Marco Carnesecchi (Goalkeeper, €25.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Marco Carnesecchi

  1. 1.Ivan Provedel87% DNA match·Lazio€3.0M
  2. 2.Jean Butez86% DNA match·Como€8.0M
  3. 3.Stefano Turati86% DNA match·Sassuolo€3.0M

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

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Intelligence Verdict

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Carnesecchi has quietly built one of Serie A's most complete goalkeeping profiles without ever...

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Playing Style Analysis

Traditional Keeper

Carnesecchi has quietly built one of Serie A's most complete goalkeeping profiles without ever dominating a single headline statistic—which is, paradoxically, exactly what makes him interesting. His 30.9 passes per 90 sits above the league average, and a 68.6% accuracy rate suggests he's attempting ambitious distribution rather than recycling safe laterals—his passes into the final third rank above average, meaning he's actively functioning as a build-up participant rather than a reset button. The duel win rate of 91.7% lands at league average, which sounds unremarkable until you consider Atalanta's high defensive line routinely exposes keepers to one-versus-one situations most Serie A goalkeepers simply never face. The three most similar players to Marco Carnesecchi by playing style are:

  • Ivan Provedel(87% match)A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and reliable in goal (3.7 saves/90).
  • Jean Butez(86% match)Butez has carved out a quietly elite identity in Serie A as a goalkeeper who builds play with the conviction of a midfielder and dominates his aerial zone with uncommon authority. His 84.9% pass accuracy and 36.5 passes per 90 both land in the top 10% of Serie A keepers, meaning he isn't just tidy in possession—he's genuinely driving his team's build-up from the back. The aerial win rate sitting in the top 5% is the counterintuitive headline: raw numbers suggest an average volume of aerial duels won, but his 50% success rate against elite Serie A attackers tells a different story about physical dominance under pressure.
  • Stefano Turati(86% match)A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and reliable in goal (3.2 saves/90).

Transfer Intelligence

Ivan Provedel delivers 87% of the same playing style, at 88% lower cost (€3.0M vs €25.0M), and is 32 years old.

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

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Comparison Base
Marco Carnesecchi
GoalkeeperItaly€25.0M
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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 Marco Carnesecchi.

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Frequently Asked Questions

Who are the best alternatives to Marco Carnesecchi?
The top alternatives to Marco Carnesecchi based on AI DNA playing style analysis include: Ivan Provedel, Jean Butez, Stefano Turati, Mile Svilar, Zion Suzuki. 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 Marco Carnesecchi in 2026?
Players with a similar profile to Marco Carnesecchi in 2026 include Ivan Provedel (€3.0M), Jean Butez (€8.0M), Stefano Turati (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Marco Carnesecchi play and who plays similarly?
Marco Carnesecchi plays as a Goalkeeper. Players with a comparable positional profile include Ivan Provedel (Italy, €3.0M); Jean Butez (France, €8.0M); Stefano Turati (Italy, €3.0M); Mile Svilar (Serbia, €35.0M).
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.