RisingTransfers
AI DNA Similarity

Best Alternatives to Paul-José Mpoku

Players most similar to Paul-José Mpoku (Midfielder, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Paul-José Mpoku

  1. 1.Beni Mukendi86% DNA match·Vitória Guimarães€3.0M
  2. 2.Mike Tresor85% DNA match·Burnley€3.0M
  3. 3.S. Opoku85% DNA match·Hillerød

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

RT

Intelligence Verdict

Key PassesTop 2%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorCreativeSmall Sample

A Creator. Statistically, he stands out as an elite creator (2.2 key passes/90), a proven goalscorer (0.44 goals/90), wins the physical battle (56% duel success), penetrates with forward passing (8.9 final-third passes/90), central to possession (77 touches/90), draws fouls effectively (4.4/90), switches play with precision (5.8 long balls/90, 69% accuracy) and top 20% creator in the league. Note: this profile is based on 615 minutes of playing time this season. The three most similar players to Paul-José Mpoku by playing style are:

  • Beni Mukendi(86% match)A Box-to-Box. Statistically, he stands out as active in the tackle (1.9 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (62% duel success), heavily involved in play (64 touches/90), draws fouls effectively (2.2/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up.
  • Mike Tresor(85% match)A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a regular goalscorer (0.22 goals/90), a prolific assist provider (0.65 assists/90), creates high-quality scoring opportunities (0.60 big chances/90) and top 10% creator in the league.
  • S. Opoku(85% match)Solomon Opoku is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.25 goals/90), creates high-quality scoring opportunities (0.74 big chances/90), draws fouls effectively (2.2/90) and top 10% creator in the league.

Transfer Intelligence

Beni Mukendi delivers 86% of the same playing style, at a 50% premium over Paul-José Mpoku, with 0.50 key passes per 90 at age 23.

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

P
Comparison Base
Paul-José Mpoku
MidfielderDR Congo€2.0M
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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 Paul-José Mpoku.

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Frequently Asked Questions

Who are the best alternatives to Paul-José Mpoku?
The top alternatives to Paul-José Mpoku based on AI DNA playing style analysis include: Beni Mukendi, Mike Tresor, S. Opoku, Julien Ponceau, Jari Vandeputte. 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 Paul-José Mpoku in 2026?
Players with a similar profile to Paul-José Mpoku in 2026 include Beni Mukendi (€3.0M), Mike Tresor (€3.0M), S. Opoku (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Paul-José Mpoku play and who plays similarly?
Paul-José Mpoku plays as a Midfielder. Players with a comparable positional profile include Beni Mukendi (Angola, €3.0M); Mike Tresor (Belgium, €3.0M); S. Opoku (Denmark, N/A); Julien Ponceau (France, 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.