RisingTransfers
AI DNA Similarity

Best Alternatives to Hamza Rafia

Players most similar to Hamza Rafia (Midfielder, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Hamza Rafia

  1. 1.Jari Vandeputte86% DNA match·Cremonese€3.3M
  2. 2.Mitchel Bakker86% DNA match·Atalanta€4.0M
  3. 3.Mikael Egill Ellertsson84% DNA match·Genoa€3.5M

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

RT

Intelligence Verdict

???Bottom 14%

A Ball-Winner....

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Playing Style Analysis

Ball-WinnerDefensive

A Ball-Winner. Statistically, he stands out as a capable chance creator (1.4 key passes/90), an aggressive ball-winner (3.6 tackles/90), creates high-quality scoring opportunities (0.59 big chances/90), heavily involved in play (60 touches/90), draws fouls effectively (2.1/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% tackler in the league. However, he loses possession under pressure (1.7 dispossessed/90). The three most similar players to Hamza Rafia by playing style are:

  • Jari Vandeputte(86% match)A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a prolific assist provider (0.29 assists/90), creates high-quality scoring opportunities (0.68 big chances/90), penetrates with forward passing (9.7 final-third passes/90), heavily involved in play (70 touches/90), uses long balls frequently (6.1/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • Mitchel Bakker(86% match)Bakker is a high-variance creative specialist masquerading as a functional cog in a Tier C Serie A machine. While his 284 minutes suggest a peripheral figure, his output is undeniably elite in possession; ranking in the top 10% for key passes and the top 20% for dribbles, he operates as a progressive engine that many top-half sides lack. However, the data reveals a jarring physical passivity.
  • Mikael Egill Ellertsson(84% match)A Balanced Midfielder. Statistically, he stands out as naturally left-footed.

Transfer Intelligence

Jari Vandeputte delivers 86% of the same playing style, at a 230% premium over Hamza Rafia, with 3.00 key passes per 90 at age 30.

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

H
Comparison Base
Hamza Rafia
MidfielderTunisia€1.0M
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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 Hamza Rafia.

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Frequently Asked Questions

Who are the best alternatives to Hamza Rafia?
The top alternatives to Hamza Rafia based on AI DNA playing style analysis include: Jari Vandeputte, Mitchel Bakker, Mikael Egill Ellertsson, Matteo Tramoni, Simone Pafundi. 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 Hamza Rafia in 2026?
Players with a similar profile to Hamza Rafia in 2026 include Jari Vandeputte (€3.3M), Mitchel Bakker (€4.0M), Mikael Egill Ellertsson (€3.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Hamza Rafia play and who plays similarly?
Hamza Rafia plays as a Midfielder. Players with a comparable positional profile include Jari Vandeputte (Belgium, €3.3M); Mitchel Bakker (Netherlands, €4.0M); Mikael Egill Ellertsson (Iceland, €3.5M); Matteo Tramoni (France, €3.0M).
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.