⬡ AI DNA · Live season

Aalborg BK· 2025/2026 · Superliga · PARTIAL

Best Alternatives to Marcus Bonde

MidfielderDenmark19yN/AFull profile →

MetronomeDefensiveSmall Sample

0.00KP/90

0.00G/90

0.00A/90

Based on 677 min · 2025/2026 · 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 Marcus Bonde

Adam Wikman99% match
Silkeborg IF · Superliga
Mees Hoedemakers97% match
Viborg FF · Superliga
Justin Janssen97% match
Nordsjælland · Superliga

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

MetronomeDefensiveSmall Sample

A Metronome. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (77 passes/90), penetrates with forward passing (9.8 final-third passes/90), central to possession (93 touches/90), uses long balls frequently (5.0/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 677 minutes of playing time this season. The three closest DNA matches to Marcus Bonde:

Adam Wikman(99% match) — A Metronome. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (63 passes/90), central to possession (74 touches/90), uses long balls frequently (7.5/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
Mees Hoedemakers(97% match) — A Metronome. Statistically, he stands out as an aggressive ball-winner (3.5 tackles/90), reads the game exceptionally (2.1 interceptions/90), wins the physical battle (61% duel success), wins the ball cleanly (1.9 successful tackles/90), central to possession (74 touches/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league.
Justin Janssen(97% match) — A Metronome. Statistically, he stands out as an elite creator (1.5 key passes/90), a reliable supplier (0.16 assists/90), an aggressive ball-winner (2.8 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (89% pass accuracy), heavily involved in possession (76 passes/90), penetrates with forward passing (10.8 final-third passes/90), central to possession (93 touches/90), switches play with precision (7.8 long balls/90, 66% accuracy) and active off the ball (2.9 press score/90), contributing to defensive transitions.

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

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Similar Players — Ranked by DNA Similarity

Adam Wikman

Silkeborg IF · Superliga

Compare Bonde vs Wikman →

Ask about replacements for Bonde

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Frequently Asked Questions

Who are the best alternatives to Marcus Bonde?▼

The top alternatives to Marcus Bonde based on AI DNA playing style analysis include: Adam Wikman, Mees Hoedemakers, Justin Janssen, Rasmus Falk, Magnus Saaby. 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 Marcus Bonde in 2026?▼

Players with a similar profile to Marcus Bonde in 2026 include Adam Wikman (N/A), Mees Hoedemakers (N/A), Justin Janssen (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Marcus Bonde play and who plays similarly?▼

Marcus Bonde plays as a Midfielder. Players with a comparable positional profile include Adam Wikman (Sweden, N/A); Mees Hoedemakers (Netherlands, N/A); Justin Janssen (Denmark, N/A); Rasmus Falk (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.

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