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AI DNA Similarity

Best Alternatives to Rolando Mandragora

Players most similar to Rolando Mandragora (Midfielder, €10.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Rolando Mandragora

  1. 1.Lennon Miller86% DNA match·Udinese€8.0M
  2. 2.Jens Odgaard85% DNA match·Bologna€15.0M
  3. 3.Cesare Casadei85% DNA match·Torino€14.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 6%

Mandragora occupies a peculiar space in Serie A's midfield ecosystem: a box-to-box presence who...

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Playing Style Analysis

Box-to-Box

Mandragora occupies a peculiar space in Serie A's midfield ecosystem: a box-to-box presence who scores like a forward but battles like a defensive anchor. His duel win rate sits in the top 5% of the entire league—a figure that dwarfs his reputation—while his aerial dominance (top 10%) makes him a physical force most opponents simply aren't prepared for. He generates 2.48 shots per 90, also top 10%, which reveals the counterintuitive truth: his modest assist numbers (average) mask a player who'd rather pull the trigger himself than play the final ball. The three most similar players to Rolando Mandragora by playing style are:

  • Lennon Miller(86% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a prolific assist provider (0.30 assists/90), an aggressive ball-winner (2.6 tackles/90), wins the physical battle (61% duel success), heavily involved in play (55 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. Note: this profile is based on 591 minutes of playing time this season.
  • Jens Odgaard(85% match)A Creator. Statistically, he stands out as naturally left-footed, a regular goalscorer (0.33 goals/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. However, he loses possession under pressure (2.1 dispossessed/90).
  • Cesare Casadei(85% match)A Ball-Winner. Statistically, he stands out as a regular goalscorer (0.27 goals/90) and dominant in the air (4.2 aerials won/90, 60%).

Transfer Intelligence

Lennon Miller delivers 86% of the same playing style, at 20% lower cost (€8.0M vs €10.0M), with 1.22 key passes per 90 at age 19.

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

R
Comparison Base
Rolando Mandragora
MidfielderItaly€10.0M
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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 Rolando Mandragora.

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Frequently Asked Questions

Who are the best alternatives to Rolando Mandragora?
The top alternatives to Rolando Mandragora based on AI DNA playing style analysis include: Lennon Miller, Jens Odgaard, Cesare Casadei, Fabio Miretti, Sandi Lovrić. 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 Rolando Mandragora in 2026?
Players with a similar profile to Rolando Mandragora in 2026 include Lennon Miller (€8.0M), Jens Odgaard (€15.0M), Cesare Casadei (€14.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Rolando Mandragora play and who plays similarly?
Rolando Mandragora plays as a Midfielder. Players with a comparable positional profile include Lennon Miller (Scotland, €8.0M); Jens Odgaard (Denmark, €15.0M); Cesare Casadei (Italy, €14.0M); Fabio Miretti (Italy, €16.0M).
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.