⬡ AI DNA · Live season

Nordsjælland· 2026 · Superliga · PARTIAL

Best Alternatives to Rocco Ascone

MidfielderFrance22yN/AFull profile →

Ball-WinnerCreativeDefensive

2.16KP/90

0.11G/90

0.00A/90

Based on 811 min · 2026 · Superliga · PARTIAL

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

DNA matchPrioritizes Superliga & top-tier peers

Top 3 alternatives to Rocco Ascone

Sabil Hansen97% match
Randers FC · Superliga
Mike Vestergård96% match
Vejle Boldklub · Superliga
Rodri97% match
Manchester City · Premier League · €75.0M

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

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Playing Style Analysis

Ball-WinnerCreativeDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as an elite creator (1.8 key passes/90), an aggressive ball-winner (5.2 tackles/90), wins the physical battle (61% duel success), penetrates with forward passing (8.2 final-third passes/90), wins the ball cleanly (3.3 successful tackles/90), central to possession (71 touches/90), uses long balls frequently (5.1/90), a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up, top 10% creator in the league and top 10% tackler in the league. Note: this profile is based on 811 minutes of playing time this season. The three closest DNA matches to Rocco Ascone:

Sabil Hansen(97% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.9 tackles/90), reads the game exceptionally (2.0 interceptions/90), wins the physical battle (57% duel success), wins the ball cleanly (2.1 successful tackles/90), central to possession (71 touches/90), active off the ball (3.0 press score/90), contributing to defensive transitions and top 10% tackler in the league.
Mike Vestergård(96% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.3 tackles/90), reads the game exceptionally (1.7 interceptions/90), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (53 touches/90), uses long balls frequently (5.4/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league.
Rodri(97% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.5 key passes/90), an aggressive ball-winner (2.5 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (67% duel success), heavily involved in possession (96 passes/90), penetrates with forward passing (10.5 final-third passes/90), central to possession (111 touches/90), switches play with precision (7.8 long balls/90, 70% accuracy) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up.

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

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Similar Players — Ranked by DNA Similarity

Sabil Hansen

Randers FC · Superliga

Denmark20yContract 2027

KP/900.70

G/900.35

Ball-WinnerDefensiveOut of form ↓

vs Ascone: 2y younger

97% match

N/A

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Frequently Asked Questions

Who are the best alternatives to Rocco Ascone?▼

The top alternatives to Rocco Ascone based on AI DNA playing style analysis include: Sabil Hansen, Mike Vestergård, Rodri, Albert Grønbæk, Guido Rodríguez. 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 Rocco Ascone in 2026?▼

Players with a similar profile to Rocco Ascone in 2026 include Sabil Hansen (N/A), Mike Vestergård (N/A), Rodri (€75.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Rocco Ascone play and who plays similarly?▼

Rocco Ascone plays as a Midfielder. Players with a comparable positional profile include Sabil Hansen (Denmark, N/A); Mike Vestergård (Denmark, N/A); Rodri (Spain, €75.0M); Albert Grønbæk (Denmark, €8.0M).

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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