⬡ AI DNA · Live season

HB Køge· 2025/2026 · Superliga · FULL

Best Alternatives to S. Larsen

DefenderDenmark22yN/AFull profile →

Physical Stopper

2.55Tkl/90

0.91KP/90

Based on 1,440 min · 2025/2026 · Superliga · FULL

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 S. Larsen

Lasse Flø97% match
Vejle Boldklub · Superliga
Marcus McCoy97% match
Odense BK · Superliga
Jakob Jessen97% match
Fredericia · Superliga

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

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Intelligence Verdict

ShotsTop 9%

???Bottom 13%

“A Physical Stopper....”

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Playing Style Analysis

Physical Stopper

A Physical Stopper. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a reliable supplier (0.19 assists/90), an aggressive ball-winner (2.6 tackles/90), penetrates with forward passing (8.0 final-third passes/90), uses long balls frequently (5.8/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league. However, he struggles in aerial duels. The three closest DNA matches to S. Larsen:

Lasse Flø(97% match) — A Physical Stopper. Statistically, he stands out as a capable chance creator (1.3 key passes/90), an aggressive ball-winner (3.0 tackles/90), wins the physical battle (61% duel success), wins the ball cleanly (2.1 successful tackles/90), active off the ball (3.0 press score/90), contributing to defensive transitions and top 10% tackler in the league.
Marcus McCoy(97% match) — A Physical Stopper. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a reliable supplier (0.16 assists/90), an aggressive ball-winner (2.5 tackles/90), commanding in the air (4.7 clearances/90), wins the physical battle (57% duel success), central to possession (73 touches/90) and active off the ball (3.0 press score/90), contributing to defensive transitions.
Jakob Jessen(97% match) — A Reading Defender. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a reliable supplier (0.18 assists/90), an aggressive ball-winner (3.2 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (59% duel success), wins the ball cleanly (2.1 successful tackles/90), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up 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

Lasse Flø

Vejle Boldklub · Superliga

Denmark20y

Tkl/901.78

KP/900.89

Physical StopperSteady form

vs Larsen: 2y younger

97% match

N/A

Compare Larsen vs Flø →

Ask about replacements for Larsen

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Frequently Asked Questions

Who are the best alternatives to S. Larsen?▼

The top alternatives to S. Larsen based on AI DNA playing style analysis include: Lasse Flø, Marcus McCoy, Jakob Jessen, Søren Eg Pedersen, Ahmed Iljazovski. 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 S. Larsen in 2026?▼

Players with a similar profile to S. Larsen in 2026 include Lasse Flø (N/A), Marcus McCoy (N/A), Jakob Jessen (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does S. Larsen play and who plays similarly?▼

S. Larsen plays as a Defender. Players with a comparable positional profile include Lasse Flø (Denmark, N/A); Marcus McCoy (Denmark, N/A); Jakob Jessen (Denmark, N/A); Søren Eg Pedersen (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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