RisingTransfers
AI DNA Similarity

Best Alternatives to Manuel Lanzini

Players most similar to Manuel Lanzini (Midfielder, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Manuel Lanzini

  1. 1.Sofiane Boufal83% DNA match·Le Havre€6.0M
  2. 2.Samir Lagsir82% DNA match·PEC Zwolle
  3. 3.James Maddison  81% DNA match·Tottenham Hotspur€30.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

Manuel Lanzini is a Creator....

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Playing Style Analysis

CreatorCreativeSmall Sample

Manuel Lanzini is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (2.0 key passes/90), a proven goalscorer (0.47 goals/90), a reliable supplier (0.16 assists/90), heavily involved in play (64 touches/90) and top 10% creator in the league. The three most similar players to Manuel Lanzini by playing style are:

  • Sofiane Boufal(83% match)A Creator. Statistically, he stands out as an elite creator (2.9 key passes/90), a proven goalscorer (0.43 goals/90), a prolific assist provider (0.32 assists/90), a dynamic dribbler (3.7/90), creates high-quality scoring opportunities (0.54 big chances/90) and top 10% creator in the league. Note: this profile is based on 837 minutes of playing time this season.
  • Samir Lagsir(82% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.24 goals/90), a prolific assist provider (0.36 assists/90) and top 10% creator in the league. Note: this profile is based on 749 minutes of playing time this season.
  • James Maddison  (81% match)James Maddison is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (2.1 key passes/90), a proven goalscorer (0.45 goals/90), a prolific assist provider (0.35 assists/90), meticulous in distribution (87% pass accuracy), penetrates with forward passing (8.6 final-third passes/90), central to possession (78 touches/90), draws fouls effectively (3.2/90) and top 10% creator in the league.

Transfer Intelligence

Sofiane Boufal delivers 83% of the same playing style, at 50% lower cost (€6.0M vs €12.0M), with 2.10 key passes per 90 at age 32.

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

M
Comparison Base
Manuel Lanzini
MidfielderArgentina€12.0M
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Similar Players — Ranked by DNA Similarity

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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 Manuel Lanzini.

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Frequently Asked Questions

Who are the best alternatives to Manuel Lanzini?
The top alternatives to Manuel Lanzini based on AI DNA playing style analysis include: Sofiane Boufal, Samir Lagsir, James Maddison  , Tino Anjorin, Benjamin Zjajo. 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 Manuel Lanzini in 2026?
Players with a similar profile to Manuel Lanzini in 2026 include Sofiane Boufal (€6.0M), Samir Lagsir (N/A), James Maddison   (€30.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Manuel Lanzini play and who plays similarly?
Manuel Lanzini plays as a Midfielder. Players with a comparable positional profile include Sofiane Boufal (Morocco, €6.0M); Samir Lagsir (Netherlands, N/A); James Maddison   (England, €30.0M); Tino Anjorin (England, €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.