RisingTransfers
AI DNA Similarity

Best Alternatives to Mohamed Fathi

Players most similar to Mohamed Fathi (Midfielder, €950K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mohamed Fathi

  1. 1.Paul Will98% DNA match·SpVgg Greuther Fürth
  2. 2.M. Due Grandt98% DNA match·Hillerød
  3. 3.Luismi Sánchez98% DNA match·Málaga

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Box-to-Box....

See Full Verdict + Share Card →

Playing Style Analysis

Box-to-BoxSmall Sample

A Box-to-Box. Statistically, he stands out as reads the game exceptionally (1.6 interceptions/90), wins the physical battle (57% duel success), heavily involved in play (56 touches/90), switches play with precision (6.4 long balls/90, 68% accuracy) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 894 minutes of playing time this season. The three most similar players to Mohamed Fathi by playing style are:

  • 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.
  • M. Due Grandt(98% match)A Box-to-Box. Statistically, he stands out as reads the game exceptionally (1.7 interceptions/90), wins the physical battle (56% duel success), penetrates with forward passing (9.3 final-third passes/90), heavily involved in play (66 touches/90), uses long balls frequently (5.9/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. Note: this profile is based on 705 minutes of playing time this season.
  • Luismi Sánchez(98% match)A Box-to-Box. Statistically, he stands out as active in the tackle (2.3 tackles/90), wins the physical battle (57% duel success), heavily involved in play (58 touches/90), switches play with precision (5.8 long balls/90, 72% accuracy) and active off the ball (2.5 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 →

M
Comparison Base
Mohamed Fathi
MidfielderEgypt€950K
Full profile →

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 Mohamed Fathi.

Ask AI about Mohamed Fathi

Frequently Asked Questions

Who are the best alternatives to Mohamed Fathi?
The top alternatives to Mohamed Fathi based on AI DNA playing style analysis include: Paul Will, M. Due Grandt, Luismi Sánchez, Mawuli Kwame Mensah Vadze, Yassir Salah Rahmouni. 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 Mohamed Fathi in 2026?
Players with a similar profile to Mohamed Fathi in 2026 include Paul Will (N/A), M. Due Grandt (N/A), Luismi Sánchez (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mohamed Fathi play and who plays similarly?
Mohamed Fathi plays as a Midfielder. Players with a comparable positional profile include Paul Will (Germany, N/A); M. Due Grandt (Denmark, N/A); Luismi Sánchez (Spain, N/A); Mawuli Kwame Mensah Vadze (Ghana, 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.