RisingTransfers
AI DNA Similarity

Best Alternatives to Luca Moro

Players most similar to Luca Moro (Attacker, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Luca Moro

  1. 1.Sandro Kulenovic85% DNA match·Torino€4.0M
  2. 2.Samuele Mulattieri84% DNA match·Sassuolo€6.0M
  3. 3.Santiago Castro85% DNA match·Bologna€35.0M

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

RT

Intelligence Verdict

Aerials WonTop 7%
???Bottom 0%

A Target Man....

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Playing Style Analysis

Target ManProlific

A Target Man. Statistically, he stands out as a proven goalscorer (0.60 goals/90), draws fouls effectively (3.2/90) and top 20% scorer in the league. However, he loses possession under pressure (2.6 dispossessed/90). The three most similar players to Luca Moro by playing style are:

  • Sandro Kulenovic(85% match)A Complete Forward. Statistically, he stands out as a constant goal threat (3.7 shots/90), a proven goalscorer (1.07 goals/90), wins the physical battle (56% duel success), strong in aerial duels (3.0 aerials won/90) and top 10% scorer in the league. Note: this profile is based on 505 minutes of playing time this season.
  • Samuele Mulattieri(84% match)Mulattieri is the kind of striker who wins headers in Serie A but struggles to win the ball at his feet—a physical presence in the box who remains curiously invisible in open play. His aerial win rate sits above the league average for attackers, a legitimate weapon in the right system, and his dribble volume places him in the top 20%—suggesting more directness than his overall profile implies. The counterintuitive read here: his low pass volume isn't laziness, it's positioning; he operates in tight spaces where recycling the ball simply isn't his job.
  • Santiago Castro(85% match)Castro arrived in Serie A as a teenager and has quietly built a profile that rewards closer inspection than his modest surface numbers suggest. His 0.37 goals per 90 places him above average among Serie A forwards, and his shot volume backs that up — 2.49 attempts per 90 puts him in elite attacking territory. The counterintuitive read here is his pass accuracy: at 70.9%, it looks damning, but his passes-per-90 sits in the bottom 10% of the league, meaning he's not a distributor at all — he's a finisher operating in tight spaces where clean execution is harder.

Transfer Intelligence

Sandro Kulenovic delivers 85% of the same playing style, at a 100% premium over Luca Moro, with 0.37 goals per 90 at age 26.

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

L
Comparison Base
Luca Moro
AttackerItaly€2.0M
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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 Luca Moro.

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Frequently Asked Questions

Who are the best alternatives to Luca Moro?
The top alternatives to Luca Moro based on AI DNA playing style analysis include: Sandro Kulenovic, Samuele Mulattieri, Santiago Castro, Brenner, Simy. 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 Luca Moro in 2026?
Players with a similar profile to Luca Moro in 2026 include Sandro Kulenovic (€4.0M), Samuele Mulattieri (€6.0M), Santiago Castro (€35.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Luca Moro play and who plays similarly?
Luca Moro plays as a Attacker. Players with a comparable positional profile include Sandro Kulenovic (Croatia, €4.0M); Samuele Mulattieri (Italy, €6.0M); Santiago Castro (Argentina, €35.0M); Brenner (Brazil, €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.