RisingTransfers
AI DNA Similarity

Best Alternatives to Jin-ho Jo

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

Top 3 Alternatives to Jin-ho Jo

  1. 1.Sem Scheperman99% DNA match·Heracles Almelo
  2. 2.Laurits Pedersen98% DNA match·Randers FC
  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 7%

A Ball-Winner....

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Playing Style Analysis

Ball-WinnerDefensive

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). The three most similar players to Jin-ho Jo by playing style are:

  • Sem Scheperman(99% match)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.
  • Laurits Pedersen(98% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.4 tackles/90), meticulous in distribution (85% pass accuracy), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (50 touches/90), active off the ball (2.8 press score/90), contributing to defensive transitions and top 10% tackler in the league. However, he prone to committing fouls (2.6/90).
  • 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 →

J
Comparison Base
Jin-ho Jo
MidfielderSouth KoreaN/A
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Similar Players — Ranked by DNA Similarity

Ask AI: Why are these players similar?

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 Jin-ho Jo.

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Frequently Asked Questions

Who are the best alternatives to Jin-ho Jo?
The top alternatives to Jin-ho Jo based on AI DNA playing style analysis include: Sem Scheperman, Laurits Pedersen, Dyon Dorenbosch, Yunus Emre Çift, 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 Jin-ho Jo in 2026?
Players with a similar profile to Jin-ho Jo in 2026 include Sem Scheperman (N/A), Laurits Pedersen (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 Jin-ho Jo play and who plays similarly?
Jin-ho Jo plays as a Midfielder. Players with a comparable positional profile include Sem Scheperman (Netherlands, N/A); Laurits Pedersen (Denmark, N/A); Dyon Dorenbosch (Netherlands, N/A); Yunus Emre Çift (Turkey, 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.