RisingTransfers
AI DNA Similarity

Best Alternatives to Luca Lipani

Players most similar to Luca Lipani (Midfielder, €7.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Luca Lipani

  1. 1.Niccolò Pisilli85% DNA match·Roma€12.0M
  2. 2.Antoine Bernede84% DNA match·Hellas Verona€3.5M
  3. 3.Matteo Prati84% DNA match·Torino€6.0M

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

RT

Intelligence Verdict

Tackles WonTop 11%
???Bottom 0%

A Ball-Winner....

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Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), heavily involved in play (58 touches/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% tackler in the league. However, he prone to committing fouls (2.7/90). The three most similar players to Luca Lipani by playing style are:

  • Niccolò Pisilli(85% match)Pisilli is the rare midfielder who wins the ball back with his brain before his boots ever get involved. Playing for a mid-table Serie A side, he ranks in the top 5% of his position for both interceptions and press intensity—a combination that signals elite anticipatory intelligence rather than mere industry. His passing into the final third sits in the same elite bracket, meaning he doesn't just win possession; he immediately weaponises it.
  • Antoine Bernede(84% match)A Creator. Statistically, he stands out as a capable chance creator (1.3 key passes/90), an aggressive ball-winner (2.8 tackles/90), heavily involved in play (51 touches/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league.
  • Matteo Prati(84% match)A Ball-Winner. Statistically, he stands out as active in the tackle (2.4 tackles/90), wins the physical battle (64% duel success), heavily involved in play (52 touches/90) and uses long balls frequently (5.9/90). Note: this profile is based on 684 minutes of playing time this season.

Transfer Intelligence

Niccolò Pisilli delivers 85% of the same playing style, at a 60% premium over Luca Lipani, with 0.94 key passes per 90 at age 21.

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

L
Comparison Base
Luca Lipani
MidfielderItaly€7.5M
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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 Luca Lipani.

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Frequently Asked Questions

Who are the best alternatives to Luca Lipani?
The top alternatives to Luca Lipani based on AI DNA playing style analysis include: Niccolò Pisilli, Antoine Bernede, Matteo Prati, Michel Aebischer, Samuele Ricci. 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 Luca Lipani in 2026?
Players with a similar profile to Luca Lipani in 2026 include Niccolò Pisilli (€12.0M), Antoine Bernede (€3.5M), Matteo Prati (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Luca Lipani play and who plays similarly?
Luca Lipani plays as a Midfielder. Players with a comparable positional profile include Niccolò Pisilli (Italy, €12.0M); Antoine Bernede (France, €3.5M); Matteo Prati (Italy, €6.0M); Michel Aebischer (Switzerland, €4.0M).
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.