RisingTransfers
AI DNA Similarity

Best Alternatives to Frederik Alves

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

Top 3 Alternatives to Frederik Alves

  1. 1.Emil Christensen90% DNA match·B 93
  2. 2.Mads Bech Sørensen89% DNA match·FC Midtjylland
  3. 3.Alexander Busch88% DNA match·Silkeborg IF

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.2 clearances/90), reads the game exceptionally (2.0 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (64 passes/90), central to possession (76 touches/90), uses long balls frequently (6.2/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. The three most similar players to Frederik Alves by playing style are:

  • Emil Christensen(90% match)A Ball-Playing CB. Statistically, he stands out as a regular goalscorer (0.21 goals/90), commanding in the air (6.7 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (70% duel success), dominant in the air (3.9 aerials won/90, 82%) and uses long balls frequently (5.1/90). Note: this profile is based on 861 minutes of playing time this season.
  • Mads Bech Sørensen(89% match)Mads Bech Sørensen is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (4.8 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (69% duel success), central to possession (72 touches/90) and uses long balls frequently (7.9/90).
  • Alexander Busch(88% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.5 clearances/90), reads the game exceptionally (1.7 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (59% duel success), heavily involved in possession (65 passes/90), central to possession (79 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 675 minutes of playing time this season.

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

F
Comparison Base
Frederik Alves
DefenderDenmark€1.0M
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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 Frederik Alves.

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Frequently Asked Questions

Who are the best alternatives to Frederik Alves?
The top alternatives to Frederik Alves based on AI DNA playing style analysis include: Emil Christensen, Mads Bech Sørensen, Alexander Busch, Malte Kiilerich, Andreas Christensen. 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 Frederik Alves in 2026?
Players with a similar profile to Frederik Alves in 2026 include Emil Christensen (N/A), Mads Bech Sørensen (N/A), Alexander Busch (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Frederik Alves play and who plays similarly?
Frederik Alves plays as a Defender. Players with a comparable positional profile include Emil Christensen (Denmark, N/A); Mads Bech Sørensen (Denmark, N/A); Alexander Busch (Denmark, N/A); Malte Kiilerich (Denmark, 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.