⬡ AI DNA · Live season

Lens· 2025/2026 · Ligue 1 · PARTIAL

Best Alternatives to Andrija Bulatovic

Central MidfieldMontenegro19y€1.8MFull profile →

Ball-WinnerCreativeDefensive

1.92KP/90

0.00G/90

0.48A/90

Based on 752 min · 2025/2026 · Ligue 1 · PARTIAL

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

DNA matchPrioritizes Ligue 1 & top-tier peers

Top 3 alternatives to Andrija Bulatovic

João Neves80% match
Paris Saint Germain · Ligue 1 · €110.0M
Warren Zaïre-Emery80% match
Paris Saint Germain · Ligue 1 · €50.0M
Senny Mayulu80% match
Paris Saint Germain · Ligue 1 · €40.0M

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Playing Style Analysis

Ball-WinnerCreativeDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as an elite creator (1.9 key passes/90), a prolific assist provider (0.48 assists/90), an aggressive ball-winner (4.1 tackles/90), creates high-quality scoring opportunities (0.72 big chances/90), wins the ball cleanly (2.6 successful tackles/90), heavily involved in play (68 touches/90), draws fouls effectively (2.4/90), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up, top 20% creator in the league and top 10% tackler in the league. Note: this profile is based on 752 minutes of playing time this season. The three closest DNA matches to Andrija Bulatovic:

João Neves(80% match) — A Metronome. Statistically, he stands out as a regular goalscorer (0.35 goals/90), active in the tackle (2.0 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (73 passes/90), central to possession (88 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
Warren Zaïre-Emery(80% match) — A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.15 assists/90), meticulous in distribution (94% pass accuracy), heavily involved in possession (76 passes/90), central to possession (91 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 20% creator in the league.
Senny Mayulu(80% match) — A Creator. Statistically, he stands out as comfortable with both feet, an elite creator (2.1 key passes/90), a regular goalscorer (0.21 goals/90), a reliable supplier (0.21 assists/90), an aggressive ball-winner (2.6 tackles/90), meticulous in distribution (89% pass accuracy), heavily involved in play (61 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator 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

João Neves

Paris Saint Germain · Ligue 1

Portugal21yContract 2029

KP/900.98

G/900.35

MetronomeOut of form ↓

vs Bulatovic: €108M more expensive · 2y older

80% match

€110.0M

Compare Bulatovic vs Neves →

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Frequently Asked Questions

Who are the best alternatives to Andrija Bulatovic?▼

The top alternatives to Andrija Bulatovic based on AI DNA playing style analysis include: João Neves, Warren Zaïre-Emery, Senny Mayulu, Fabián Ruiz, Valentín Barco. 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 Andrija Bulatovic in 2026?▼

Players with a similar profile to Andrija Bulatovic in 2026 include João Neves (€110.0M), Warren Zaïre-Emery (€50.0M), Senny Mayulu (€40.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Andrija Bulatovic play and who plays similarly?▼

Andrija Bulatovic plays as a Midfielder. Players with a comparable positional profile include João Neves (Portugal, €110.0M); Warren Zaïre-Emery (France, €50.0M); Senny Mayulu (France, €40.0M); Fabián Ruiz (Spain, €30.0M).

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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