⬡ AI DNA · Live season

Ludogorets· 2025/2026 · First League · PARTIAL

Best Alternatives to Petar Stanic

MidfielderSerbia24y€2.1MFull profile →

CreatorCreative

2.30KP/90

0.65G/90

0.18A/90

Based on 977 min · 2025/2026 · First League · PARTIAL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

Note: Top DNA style matches can come from lower leagues. We also surface First League peers ranked by market value and league tier — scroll the full list below.

DNA matchDNA style match · see league & value below

Top 3 alternatives to Petar Stanic

Danel Sinani87% match
St. Pauli · Bundesliga · €3.0M
Filip Kostić84% match
Juventus · Serie A · €3.5M

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Playing Style Analysis

CreatorCreative

A Creator. Statistically, he stands out as an elite creator (2.3 key passes/90), a constant goal threat (2.6 shots/90), a proven goalscorer (0.64 goals/90), a reliable supplier (0.18 assists/90), meticulous in distribution (86% pass accuracy), heavily involved in play (51 touches/90), draws fouls effectively (2.1/90) and top 10% creator in the league. The three closest DNA matches to Petar Stanic:

Danel Sinani(87% match) — A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.0 key passes/90), a regular goalscorer (0.22 goals/90), heavily involved in play (61 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league.
Filip Kostić(84% match) — A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90), a proven goalscorer (0.58 goals/90), a reliable supplier (0.19 assists/90), an aggressive ball-winner (3.3 tackles/90), wins the physical battle (57% duel success), wins the ball cleanly (1.9 successful tackles/90), central to possession (77 touches/90), active off the ball (3.0 press score/90), contributing to defensive transitions, top 10% creator in the league and top 10% tackler in the league.
Kevin Stöger(84% match) — A Creator. Statistically, he stands out as naturally left-footed, an elite creator (1.8 key passes/90), an aggressive ball-winner (2.5 tackles/90), penetrates with forward passing (8.5 final-third passes/90), central to possession (74 touches/90), active off the ball (2.4 press score/90), contributing to defensive transitions, top 20% creator in the league and top 10% tackler in the league.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

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Similar Players — Ranked by DNA Similarity

Danel Sinani

St. Pauli · Bundesliga

Luxembourg29yContract 2026

KP/902.04

G/900.22

CreatorCreativeIn form ↑

vs Stanic: 5y older

87% match

€3.0M

Compare Stanic vs Sinani →

Ask about replacements for Stanic

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Frequently Asked Questions

Who are the best alternatives to Petar Stanic?▼

The top alternatives to Petar Stanic based on AI DNA playing style analysis include: Danel Sinani, Filip Kostić, Kevin Stöger, Patrick Sontheimer, 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 Petar Stanic in 2026?▼

Players with a similar profile to Petar Stanic in 2026 include Danel Sinani (€3.0M), Filip Kostić (€3.5M), Kevin Stöger (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Petar Stanic play and who plays similarly?▼

Petar Stanic plays as a Midfielder. Players with a comparable positional profile include Danel Sinani (Luxembourg, €3.0M); Filip Kostić (Serbia, €3.5M); Kevin Stöger (Austria, €3.0M); Patrick Sontheimer (Germany, €5.0M).

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.

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