RisingTransfers
AI DNA Similarity

Best Alternatives to Søren Eg Pedersen

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

Top 3 Alternatives to Søren Eg Pedersen

  1. 1.Ilounga Pata97% DNA match·TOP Oss
  2. 2.Nacho Lopez97% DNA match·Langreo
  3. 3.Junnosuke Suzuki97% DNA match·FC København

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

RT

Intelligence Verdict

AssistsTop 0%
???Bottom 7%

A Physical Stopper....

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Playing Style Analysis

Physical Stopper

A Physical Stopper. Statistically, he stands out as an elite creator (1.8 key passes/90), a prolific assist provider (0.26 assists/90), an aggressive ball-winner (2.6 tackles/90), wins the physical battle (58% duel success), wins the ball cleanly (2.4 successful tackles/90), draws fouls effectively (2.0/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Søren Eg Pedersen by playing style are:

  • Ilounga Pata(97% match)A Physical Stopper. Statistically, he stands out as a capable chance creator (1.1 key passes/90), an aggressive ball-winner (4.1 tackles/90), wins the physical battle (65% duel success), wins the ball cleanly (2.1 successful tackles/90), uses long balls frequently (9.5/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 679 minutes of playing time this season.
  • Nacho Lopez(97% match)A Physical Stopper. Statistically, he stands out as a capable chance creator (1.2 key passes/90), an aggressive ball-winner (4.0 tackles/90), reads the game exceptionally (3.2 interceptions/90), wins the physical battle (55% duel success) and top 10% tackler in the league. Note: this profile is based on 450 minutes of playing time this season.
  • Junnosuke Suzuki(97% match)A Physical Stopper. Statistically, he stands out as a reliable supplier (0.16 assists/90), an aggressive ball-winner (3.0 tackles/90), wins the physical battle (67% duel success), wins the ball cleanly (1.9 successful tackles/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 573 minutes of playing time this season.

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

S
Comparison Base
Søren Eg Pedersen
DefenderDenmarkN/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 Søren Eg Pedersen.

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Frequently Asked Questions

Who are the best alternatives to Søren Eg Pedersen?
The top alternatives to Søren Eg Pedersen based on AI DNA playing style analysis include: Ilounga Pata, Nacho Lopez, Junnosuke Suzuki, S. Larsen, Nils Butzen. 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 Søren Eg Pedersen in 2026?
Players with a similar profile to Søren Eg Pedersen in 2026 include Ilounga Pata (N/A), Nacho Lopez (N/A), Junnosuke Suzuki (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Søren Eg Pedersen play and who plays similarly?
Søren Eg Pedersen plays as a Defender. Players with a comparable positional profile include Ilounga Pata (Sint Maarten, N/A); Nacho Lopez (Spain, N/A); Junnosuke Suzuki (Japan, N/A); S. Larsen (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.