RisingTransfers
AI DNA Similarity

Best Alternatives to Giacomo Olzer

Players most similar to Giacomo Olzer (Midfielder, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Giacomo Olzer

  1. 1.Salih Özcan85% DNA match·Borussia Dortmund€3.5M
  2. 2.Mikael Egill Ellertsson83% DNA match·Genoa€3.5M
  3. 3.Sergio Lozano83% DNA match·Levante€6.0M

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

RT

Intelligence Verdict

GoalsTop 3%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as an elite creator (1.6 key passes/90), a constant goal threat (2.5 shots/90), a regular goalscorer (0.29 goals/90), heavily involved in play (52 touches/90), strong in aerial duels (3.6 aerials won/90) and draws fouls effectively (2.8/90). However, he loses possession under pressure (2.0 dispossessed/90). The three most similar players to Giacomo Olzer by playing style are:

  • Salih Özcan(85% match)Özcan is a metronomic disruptor whose high-volume passing and elite defensive anticipation make him the structural glue for a mid-table side. While his 79.2% pass accuracy appears merely average, it is a byproduct of his relentless involvement; ranking in the top 5% for passes per 90 (57.9) suggests he is the primary valve through whom the game flows, rather than a passenger. His true value lies in his spatial intelligence, evidenced by a staggering 2.78 interceptions per 90—putting him in the league’s elite tier for reading play.
  • Mikael Egill Ellertsson(83% match)A Balanced Midfielder. Statistically, he stands out as naturally left-footed.
  • Sergio Lozano(83% match)A Ball-Winner. Statistically, he stands out as an elite creator (2.0 key passes/90), a prolific assist provider (0.25 assists/90), an aggressive ball-winner (2.5 tackles/90), creates high-quality scoring opportunities (0.84 big chances/90), heavily involved in play (69 touches/90), draws fouls effectively (2.3/90) and top 10% creator in the league. However, he prone to committing fouls (3.5/90).

Transfer Intelligence

Salih Özcan delivers 85% of the same playing style, at a 17% premium over Giacomo Olzer, with 1.26 key passes per 90 at age 28.

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

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Comparison Base
Giacomo Olzer
MidfielderItaly€3.0M
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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 Giacomo Olzer.

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Frequently Asked Questions

Who are the best alternatives to Giacomo Olzer?
The top alternatives to Giacomo Olzer based on AI DNA playing style analysis include: Salih Özcan, Mikael Egill Ellertsson, Sergio Lozano, Oliver Højer, Maxi Oyedele. 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 Giacomo Olzer in 2026?
Players with a similar profile to Giacomo Olzer in 2026 include Salih Özcan (€3.5M), Mikael Egill Ellertsson (€3.5M), Sergio Lozano (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Giacomo Olzer play and who plays similarly?
Giacomo Olzer plays as a Midfielder. Players with a comparable positional profile include Salih Özcan (Turkey, €3.5M); Mikael Egill Ellertsson (Iceland, €3.5M); Sergio Lozano (Spain, €6.0M); Oliver Højer (Denmark, N/A).
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.