RisingTransfers
AI DNA Similarity

Best Alternatives to Arthur Avom

Players most similar to Arthur Avom (Midfielder, €9.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Arthur Avom

  1. 1.Benjamin André87% DNA match·LOSC Lille€4.0M
  2. 2.Charles Vanhoutte86% DNA match·Nice€7.0M
  3. 3.Lucien Agoumé86% DNA match·Sevilla€12.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-BoxSmall Sample

A Box-to-Box. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a reliable supplier (0.15 assists/90), meticulous in distribution (85% pass accuracy), heavily involved in play (60 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. Note: this profile is based on 587 minutes of playing time this season. The three most similar players to Arthur Avom by playing style are:

  • Benjamin André(87% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), an aggressive ball-winner (2.6 tackles/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (59% duel success), heavily involved in play (68 touches/90), draws fouls effectively (2.1/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. However, he loses possession under pressure (1.6 dispossessed/90).
  • Charles Vanhoutte(86% match)A Box-to-Box. Statistically, he stands out as active in the tackle (2.3 tackles/90), heavily involved in play (65 touches/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.
  • Lucien Agoumé(86% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), reads the game exceptionally (2.0 interceptions/90), penetrates with forward passing (8.1 final-third passes/90), heavily involved in play (58 touches/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up.

Transfer Intelligence

Benjamin André delivers 87% of the same playing style, at 56% lower cost (€4.0M vs €9.0M), with 1.00 key passes per 90 at age 35.

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

A
Comparison Base
Arthur Avom
MidfielderCameroon€9.0M
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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 Arthur Avom.

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Frequently Asked Questions

Who are the best alternatives to Arthur Avom?
The top alternatives to Arthur Avom based on AI DNA playing style analysis include: Benjamin André, Charles Vanhoutte, Lucien Agoumé, Abdoul Ouattara, Djaoui Cissé. 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 Arthur Avom in 2026?
Players with a similar profile to Arthur Avom in 2026 include Benjamin André (€4.0M), Charles Vanhoutte (€7.0M), Lucien Agoumé (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Arthur Avom play and who plays similarly?
Arthur Avom plays as a Midfielder. Players with a comparable positional profile include Benjamin André (France, €4.0M); Charles Vanhoutte (Belgium, €7.0M); Lucien Agoumé (France, €12.0M); Abdoul Ouattara (France, €9.0M).
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.