RisingTransfers
AI DNA Similarity

Best Alternatives to Michael Davis

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

Top 3 Alternatives to Michael Davis

  1. 1.Bebeto99% DNA match·Tondela
  2. 2.Lucas Ahijado98% DNA match·Real Oviedo
  3. 3.Jacques Ekomié98% DNA match·Angers SCO

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

RT

Intelligence Verdict

Press IntensityTop 12%
???Bottom 24%

A Defender....

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Playing Style Analysis

Aerial

A Defender. Statistically, he stands out as an aggressive ball-winner (4.5 tackles/90), commanding in the air (5.0 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (60% duel success), wins the ball cleanly (2.8 successful tackles/90), central to possession (70 touches/90), uses long balls frequently (5.1/90), active off the ball (2.8 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Michael Davis by playing style are:

  • Bebeto(99% match)A Defender. Statistically, he stands out as an aggressive ball-winner (3.4 tackles/90), wins the physical battle (56% duel success), wins the ball cleanly (1.9 successful tackles/90), uses long balls frequently (5.7/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Lucas Ahijado(98% match)A Active Full-Back. Statistically, he stands out as an aggressive ball-winner (4.4 tackles/90), wins the physical battle (68% duel success), wins the ball cleanly (2.9 successful tackles/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 814 minutes of playing time this season.
  • Jacques Ekomié(98% match)A Defender. Statistically, he stands out as an aggressive ball-winner (3.8 tackles/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (56% duel success), wins the ball cleanly (2.2 successful tackles/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 766 minutes of playing time this season.

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

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Comparison Base
Michael Davis
DefenderBelgiumN/A
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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 Michael Davis.

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Frequently Asked Questions

Who are the best alternatives to Michael Davis?
The top alternatives to Michael Davis based on AI DNA playing style analysis include: Bebeto, Lucas Ahijado, Jacques Ekomié, Deron Payne, Yousri Sbai. 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 Michael Davis in 2026?
Players with a similar profile to Michael Davis in 2026 include Bebeto (N/A), Lucas Ahijado (N/A), Jacques Ekomié (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Michael Davis play and who plays similarly?
Michael Davis plays as a Defender. Players with a comparable positional profile include Bebeto (Brazil, N/A); Lucas Ahijado (Spain, N/A); Jacques Ekomié (Gabon, N/A); Deron Payne (Netherlands, 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.