RisingTransfers
AI DNA Similarity

Best Alternatives to Sem Scheperman

Players most similar to Sem Scheperman (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Sem Scheperman

  1. 1.Jin-ho Jo99% DNA match·Konyaspor
  2. 2.Jonah Sticker98% DNA match·Paderborn
  3. 3.Dyon Dorenbosch98% DNA match·FC Eindhoven

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 9%

A Ball-Winner....

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Playing Style Analysis

Ball-WinnerDefensive

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.8 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (62% duel success), wins the ball cleanly (2.3 successful tackles/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Sem Scheperman by playing style are:

  • Jin-ho Jo(99% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (87% pass accuracy), heavily involved in play (61 touches/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% tackler in the league. However, he prone to committing fouls (2.6/90).
  • Jonah Sticker(98% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.2 tackles/90), wins the physical battle (68% duel success), heavily involved in play (60 touches/90), draws fouls effectively (2.1/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 734 minutes of playing time this season.
  • Dyon Dorenbosch(98% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.2 tackles/90), wins the ball cleanly (1.8 successful tackles/90), heavily involved in play (52 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 884 minutes of playing time this season.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

S
Comparison Base
Sem Scheperman
MidfielderNetherlandsN/A
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Similar Players — Ranked by DNA Similarity

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Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Sem Scheperman.

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Frequently Asked Questions

Who are the best alternatives to Sem Scheperman?
The top alternatives to Sem Scheperman based on AI DNA playing style analysis include: Jin-ho Jo, Jonah Sticker, Dyon Dorenbosch, Landon Emenalo, Merveille Papela. 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 Sem Scheperman in 2026?
Players with a similar profile to Sem Scheperman in 2026 include Jin-ho Jo (N/A), Jonah Sticker (N/A), Dyon Dorenbosch (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sem Scheperman play and who plays similarly?
Sem Scheperman plays as a Midfielder. Players with a comparable positional profile include Jin-ho Jo (South Korea, N/A); Jonah Sticker (Germany, N/A); Dyon Dorenbosch (Netherlands, N/A); Landon Emenalo (England, 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.