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AI DNA Similarity

Best Alternatives to Lukasz Skorupski

Players most similar to Lukasz Skorupski (Goalkeeper, €2.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Lukasz Skorupski

  1. 1.Ivan Provedel88% DNA match·Lazio€3.0M
  2. 2.Jean Butez88% DNA match·Como€8.0M
  3. 3.Emil Audero86% DNA match·Cremonese€3.2M

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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Skorupski is the quiet engine of a Tier C Serie A side...

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Playing Style Analysis

Skorupski is the quiet engine of a Tier C Serie A side, a goalkeeper who operates more like a deep-lying playmaker than a traditional shot-stopper. While his raw data shows no glaring peaks or valleys, his involvement in possession is elite; ranking in the top 10% of the league for passes per 90 (36.3), he is a high-volume distributor who dictates tempo from the six-yard box. The counterintuitive insight here is that despite his 74.4% accuracy—merely top 30%—his verticality is the real weapon, as evidenced by his frequent, aggressive passes into the final third. The three most similar players to Lukasz Skorupski by playing style are:

  • Ivan Provedel(88% 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(88% 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.
  • Emil Audero(86% match)A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and reliable in goal (3.5 saves/90).

Transfer Intelligence

Ivan Provedel delivers 88% of the same playing style, at a 20% premium over Lukasz Skorupski, 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
Lukasz Skorupski
GoalkeeperPoland€2.5M
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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 Lukasz Skorupski.

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Frequently Asked Questions

Who are the best alternatives to Lukasz Skorupski?
The top alternatives to Lukasz Skorupski based on AI DNA playing style analysis include: Ivan Provedel, Jean Butez, Emil Audero, Marco Carnesecchi, Arijanet Murić. 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 Lukasz Skorupski in 2026?
Players with a similar profile to Lukasz Skorupski in 2026 include Ivan Provedel (€3.0M), Jean Butez (€8.0M), Emil Audero (€3.2M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Lukasz Skorupski play and who plays similarly?
Lukasz Skorupski plays as a Goalkeeper. Players with a comparable positional profile include Ivan Provedel (Italy, €3.0M); Jean Butez (France, €8.0M); Emil Audero (Italy, €3.2M); Marco Carnesecchi (Italy, €25.0M).
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.