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AI DNA Similarity

Best Alternatives to Edoardo Bove

Players most similar to Edoardo Bove (Midfielder, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Edoardo Bove

  1. 1.Cristian Volpato86% DNA match·Sassuolo€10.0M
  2. 2.Fabio Miretti85% DNA match·Juventus€16.0M
  3. 3.Sandi Lovrić84% DNA match·Hellas Verona€6.0M

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

RT

Intelligence Verdict

Aerials WonTop 4%
???Bottom 0%

A Balanced Midfielder....

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Playing Style Analysis

Balanced Midfielder

A Balanced Midfielder. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a reliable supplier (0.19 assists/90), active in the tackle (2.2 tackles/90) and draws fouls effectively (2.0/90). The three most similar players to Edoardo Bove by playing style are:

  • Cristian Volpato(86% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.20 goals/90), a prolific assist provider (0.40 assists/90), creates high-quality scoring opportunities (0.50 big chances/90), heavily involved in play (57 touches/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90).
  • Fabio Miretti(85% match)Miretti is the rare academy product who graduated from Juventus's shadow and found his voice in the chaos of a mid-table Serie A environment. At just 544 minutes of data, the sample is partial—but what it reveals is striking. His assists rate lands in the top 5% of Serie A midfielders, a figure that flatters him only if you ignore the equally elite press intensity and shot volume sitting underneath it.
  • Sandi Lovrić(84% match)A Creator. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in play (52 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.

Transfer Intelligence

Cristian Volpato delivers 86% of the same playing style, at a 100% premium over Edoardo Bove, with 1.88 key passes per 90 at age 22.

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

E
Comparison Base
Edoardo Bove
MidfielderItaly€5.0M
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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 Edoardo Bove.

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Frequently Asked Questions

Who are the best alternatives to Edoardo Bove?
The top alternatives to Edoardo Bove based on AI DNA playing style analysis include: Cristian Volpato, Fabio Miretti, Sandi Lovrić, Samuele Ricci, Reda Belahyane. 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 Edoardo Bove in 2026?
Players with a similar profile to Edoardo Bove in 2026 include Cristian Volpato (€10.0M), Fabio Miretti (€16.0M), Sandi Lovrić (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Edoardo Bove play and who plays similarly?
Edoardo Bove plays as a Midfielder. Players with a comparable positional profile include Cristian Volpato (Italy, €10.0M); Fabio Miretti (Italy, €16.0M); Sandi Lovrić (Slovenia, €6.0M); Samuele Ricci (Italy, €25.0M).
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.