RisingTransfers
AI DNA Similarity

Best Alternatives to Roberto Insigne

Players most similar to Roberto Insigne (Attacker, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Roberto Insigne

  1. 1.Federico Bernardeschi82% DNA match·Bologna€3.5M
  2. 2.Mattia Zaccagni 82% DNA match·Lazio€15.0M
  3. 3.Riccardo Sottil82% DNA match·Lecce€3.5M

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

RT

Intelligence Verdict

Press IntensityTop 6%

A Link-up Striker....

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Playing Style Analysis

Link-up Striker

A Link-up Striker. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.18 assists/90) and meticulous in distribution (85% pass accuracy). The three most similar players to Roberto Insigne by playing style are:

  • Federico Bernardeschi(82% match)Bernardeschi remains the quintessential Italian "fantasista" trapped in an era of rigid systems, operating as a high-volume creative hub for a struggling Tier C side. While his goal output is merely pedestrian, his underlying metrics reveal a playmaker of elite continental caliber; he ranks in the top 5% of the league for key passes, progressive balls, and successful dribbles. This isn't just a winger hugging the touchline; his 39.7 passes per 90 and exceptional interception rate suggest a player who dictates the tempo and disrupts opposition buildup with top-tier defensive intensity.
  • Mattia Zaccagni (82% match)A Forward. Statistically, he stands out as an elite creator (1.7 key passes/90), wins the physical battle (55% duel success) and draws fouls effectively (3.4/90).
  • Riccardo Sottil(82% match)A Complete Forward. Statistically, he stands out as an elite creator (2.7 key passes/90) and draws fouls effectively (2.3/90). However, he loses possession under pressure (1.9 dispossessed/90).

Transfer Intelligence

Federico Bernardeschi delivers 82% of the same playing style, at a 133% premium over Roberto Insigne, with 0.58 goals per 90 at age 32. That's 215% of Roberto Insigne'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 →

R
Comparison Base
Roberto Insigne
AttackerItaly€1.5M
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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 Roberto Insigne.

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Frequently Asked Questions

Who are the best alternatives to Roberto Insigne?
The top alternatives to Roberto Insigne based on AI DNA playing style analysis include: Federico Bernardeschi, Mattia Zaccagni , Riccardo Sottil, Matteo Politano , Riccardo Orsolini. 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 Roberto Insigne in 2026?
Players with a similar profile to Roberto Insigne in 2026 include Federico Bernardeschi (€3.5M), Mattia Zaccagni  (€15.0M), Riccardo Sottil (€3.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Roberto Insigne play and who plays similarly?
Roberto Insigne plays as a Attacker. Players with a comparable positional profile include Federico Bernardeschi (Italy, €3.5M); Mattia Zaccagni  (Italy, €15.0M); Riccardo Sottil (Italy, €3.5M); Matteo Politano  (Italy, €8.0M).
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.