RisingTransfers
AI DNA Similarity

Best Alternatives to Sergi Roberto

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

Top 3 Alternatives to Sergi Roberto

  1. 1.Danilo Cataldi84% DNA match·Lazio€3.5M
  2. 2.Adrián Bernabé84% DNA match·Parma€15.0M
  3. 3.Manuel Locatelli84% DNA match·Juventus€25.0M

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

RT

Intelligence Verdict

???Bottom 0%

A Metronome....

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Playing Style Analysis

MetronomeCreativeSmall Sample

A Metronome. Statistically, he stands out as an elite creator (1.9 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (57% duel success), creates high-quality scoring opportunities (0.65 big chances/90), central to possession (79 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% creator in the league. Note: this profile is based on 697 minutes of playing time this season. The three most similar players to Sergi Roberto by playing style are:

  • Danilo Cataldi(84% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), wins the physical battle (60% duel success), heavily involved in play (62 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • Adrián Bernabé(84% match)A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.2 key passes/90), heavily involved in play (58 touches/90), draws fouls effectively (2.0/90) and top 10% creator in the league.
  • Manuel Locatelli(84% match)Locatelli has spent years being the midfielder that makes everything work without ever making the highlight reel—and the numbers finally prove why that matters. Operating in Serie A's congested midfield battles, he ranks in the top 5% for passes per 90, tackles won, press intensity, and passes into the final third simultaneously; finding a player who dominates all four categories at once is genuinely rare. The counterintuitive read here is his goal contribution figures, which look pedestrian until you understand he's essentially the engine redistributing possession upward—those 15-plus progressive passes per 90 are what create the chances others finish.

Transfer Intelligence

Danilo Cataldi delivers 84% of the same playing style, at a 133% premium over Sergi Roberto, with 1.06 key passes per 90 at age 31.

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

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Comparison Base
Sergi Roberto
MidfielderSpain€1.5M
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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 Sergi Roberto.

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Frequently Asked Questions

Who are the best alternatives to Sergi Roberto?
The top alternatives to Sergi Roberto based on AI DNA playing style analysis include: Danilo Cataldi, Adrián Bernabé, Manuel Locatelli, Stanislav Lobotka, Jari Vandeputte. 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 Sergi Roberto in 2026?
Players with a similar profile to Sergi Roberto in 2026 include Danilo Cataldi (€3.5M), Adrián Bernabé (€15.0M), Manuel Locatelli (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sergi Roberto play and who plays similarly?
Sergi Roberto plays as a Midfielder. Players with a comparable positional profile include Danilo Cataldi (Italy, €3.5M); Adrián Bernabé (Spain, €15.0M); Manuel Locatelli (Italy, €25.0M); Stanislav Lobotka (Slovakia, €18.0M).
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.