RisingTransfers
AI DNA Similarity

Best Alternatives to Jawad El Yamiq

Players most similar to Jawad El Yamiq (Defender, €250K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jawad El Yamiq

  1. 1.Emir Ortakaya100% DNA match·Rizespor
  2. 2.Muhammed Kadıoğlu99% DNA match·Fatih Karagümrük
  3. 3.Gustav Bjerge99% DNA match·Hobro

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 11%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBAerialSmall Sample

A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.3 clearances/90), reads the game exceptionally (1.7 interceptions/90), wins the physical battle (63% duel success), uses long balls frequently (7.9/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 526 minutes of playing time this season. The three most similar players to Jawad El Yamiq by playing style are:

  • Emir Ortakaya(100% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (8.4 clearances/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (61% duel success), strong in aerial duels (3.1 aerials won/90), uses long balls frequently (5.7/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 728 minutes of playing time this season.
  • Muhammed Kadıoğlu(99% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.9 clearances/90), reads the game exceptionally (2.1 interceptions/90), uses long balls frequently (5.7/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 588 minutes of playing time this season.
  • Gustav Bjerge(99% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.8 tackles/90), commanding in the air (6.9 clearances/90), reads the game exceptionally (2.9 interceptions/90), wins the physical battle (62% duel success), heavily involved in possession (64 passes/90), central to possession (83 touches/90), strong in aerial duels (3.4 aerials won/90), uses long balls frequently (11.4/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. Note: this profile is based on 836 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
Jawad El Yamiq
DefenderMorocco€250K
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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 Jawad El Yamiq.

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Frequently Asked Questions

Who are the best alternatives to Jawad El Yamiq?
The top alternatives to Jawad El Yamiq based on AI DNA playing style analysis include: Emir Ortakaya, Muhammed Kadıoğlu, Gustav Bjerge, João Afonso, Tijn Joosten. 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 Jawad El Yamiq in 2026?
Players with a similar profile to Jawad El Yamiq in 2026 include Emir Ortakaya (N/A), Muhammed Kadıoğlu (N/A), Gustav Bjerge (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jawad El Yamiq play and who plays similarly?
Jawad El Yamiq plays as a Defender. Players with a comparable positional profile include Emir Ortakaya (Turkey, N/A); Muhammed Kadıoğlu (Turkey, N/A); Gustav Bjerge (Denmark, N/A); João Afonso (Portugal, 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.