RisingTransfers
AI DNA Similarity

Best Alternatives to Jerome Deom

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

Top 3 Alternatives to Jerome Deom

  1. 1.Yusuf Deniz Sas99% DNA match·Ümraniyespor
  2. 2.Unai Vencedor98% DNA match·Levante
  3. 3.Paul Will98% DNA match·SpVgg Greuther Fürth

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

RT

Intelligence Verdict

Key PassesTop 16%
???Bottom 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-BoxDefensiveSmall Sample

A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), an aggressive ball-winner (2.6 tackles/90), wins the ball cleanly (2.4 successful tackles/90), heavily involved in play (57 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 490 minutes of playing time this season. The three most similar players to Jerome Deom by playing style are:

  • Yusuf Deniz Sas(99% match)A Box-to-Box. Statistically, he stands out as an elite creator (2.7 key passes/90), a reliable supplier (0.19 assists/90), active in the tackle (1.9 tackles/90), wins the physical battle (58% duel success), central to possession (71 touches/90), draws fouls effectively (2.3/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league. Note: this profile is based on 469 minutes of playing time this season.
  • Unai Vencedor(98% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.3 key passes/90), active in the tackle (2.2 tackles/90), penetrates with forward passing (8.4 final-third passes/90), heavily involved in play (58 touches/90), switches play with precision (6.8 long balls/90, 68% accuracy) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 568 minutes of playing time this season.
  • Paul Will(98% match)A Box-to-Box. Statistically, he stands out as active in the tackle (2.4 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (59% duel success), heavily involved in play (57 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.

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

J
Comparison Base
Jerome Deom
MidfielderBelgiumN/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 Jerome Deom.

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Frequently Asked Questions

Who are the best alternatives to Jerome Deom?
The top alternatives to Jerome Deom based on AI DNA playing style analysis include: Yusuf Deniz Sas, Unai Vencedor, Paul Will, Jon Ander Olasagasti, Kofi Amoako. 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 Jerome Deom in 2026?
Players with a similar profile to Jerome Deom in 2026 include Yusuf Deniz Sas (N/A), Unai Vencedor (N/A), Paul Will (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jerome Deom play and who plays similarly?
Jerome Deom plays as a Midfielder. Players with a comparable positional profile include Yusuf Deniz Sas (Turkey, N/A); Unai Vencedor (Spain, N/A); Paul Will (Germany, N/A); Jon Ander Olasagasti (Spain, 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.