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AI DNA Similarity

Best Alternatives to Matija Frigan

Players most similar to Matija Frigan (Attacker, €7.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Matija Frigan

  1. 1.Tijjani Noslin86% DNA match·Lazio€6.5M
  2. 2.Samuele Mulattieri85% DNA match·Sassuolo€6.0M
  3. 3.Giovane85% DNA match·Napoli€12.0M

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

RT

Intelligence Verdict

GoalsTop 20%
???Bottom 20%

A Complete Forward....

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Playing Style Analysis

Complete ForwardProlific

A Complete Forward. Statistically, he stands out as naturally left-footed, a constant goal threat (3.0 shots/90) and a proven goalscorer (0.44 goals/90). The three most similar players to Matija Frigan by playing style are:

  • Tijjani Noslin(86% match)A Inside Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a constant goal threat (2.8 shots/90), a regular goalscorer (0.31 goals/90), a reliable supplier (0.15 assists/90) and draws fouls effectively (2.0/90). However, he loses possession under pressure (1.7 dispossessed/90).
  • Samuele Mulattieri(85% 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.
  • Giovane(85% match)A Complete Forward. Statistically, he stands out as an elite creator (1.6 key passes/90), a constant goal threat (2.7 shots/90) and a regular goalscorer (0.21 goals/90). However, he loses possession under pressure (2.2 dispossessed/90).

Transfer Intelligence

Tijjani Noslin delivers 86% of the same playing style, at 13% lower cost (€6.5M vs €7.5M), with 0.31 goals per 90 at age 26. That's 70% of Matija Frigan's output in goals per 90 — a credible like-for-like option.

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

M
Comparison Base
Matija Frigan
AttackerCroatia€7.5M
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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 Matija Frigan.

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Frequently Asked Questions

Who are the best alternatives to Matija Frigan?
The top alternatives to Matija Frigan based on AI DNA playing style analysis include: Tijjani Noslin, Samuele Mulattieri, Giovane, Gift Orban, Jeff Ekhator. 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 Matija Frigan in 2026?
Players with a similar profile to Matija Frigan in 2026 include Tijjani Noslin (€6.5M), Samuele Mulattieri (€6.0M), Giovane (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Matija Frigan play and who plays similarly?
Matija Frigan plays as a Attacker. Players with a comparable positional profile include Tijjani Noslin (Netherlands, €6.5M); Samuele Mulattieri (Italy, €6.0M); Giovane (Brazil, €12.0M); Gift Orban (Nigeria, €8.5M).
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.