RisingTransfers
AI DNA Similarity

Best Alternatives to Anders Hagelskjær

Players most similar to Anders Hagelskjær (Defender, €510K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Anders Hagelskjær

  1. 1.Mads Bech Sørensen90% DNA match·FC Midtjylland
  2. 2.Emil Christensen89% DNA match·B 93
  3. 3.Malte Kiilerich89% DNA match·Hvidovre

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

RT

Intelligence Verdict

???Bottom 24%

Anders Hagelskjær is a Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBAerial

Anders Hagelskjær is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (7.1 clearances/90), wins the physical battle (58% duel success), penetrates with forward passing (8.3 final-third passes/90) and uses long balls frequently (9.7/90). The three most similar players to Anders Hagelskjær by playing style are:

  • Mads Bech Sørensen(90% 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).
  • Emil Christensen(89% 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.
  • Malte Kiilerich(89% match)Malte Kiilerich is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (4.7 clearances/90), reads the game exceptionally (1.9 interceptions/90) and wins the physical battle (58% duel success).

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

A
Comparison Base
Anders Hagelskjær
DefenderDenmark€510K
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 Anders Hagelskjær.

Ask AI about Anders Hagelskjær

Frequently Asked Questions

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