RisingTransfers
AI DNA Similarity

Best Alternatives to Tom Sas

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

Top 3 Alternatives to Tom Sas

  1. 1.Junnosuke Suzuki99% DNA match·FC København
  2. 2.Nacho Lopez98% DNA match·Langreo
  3. 3.Jakob Jessen98% DNA match·Fredericia

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

RT

Intelligence Verdict

InterceptionsTop 4%
???Bottom 17%

A Physical Stopper....

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Playing Style Analysis

Physical StopperSmall Sample

A Physical Stopper. Statistically, he stands out as a reliable supplier (0.16 assists/90), an aggressive ball-winner (3.1 tackles/90), reads the game exceptionally (2.0 interceptions/90), wins the physical battle (60% duel success) and top 10% tackler in the league. Note: this profile is based on 578 minutes of playing time this season. The three most similar players to Tom Sas by playing style are:

  • Junnosuke Suzuki(99% 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.
  • Nacho Lopez(98% 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.
  • Jakob Jessen(98% match)A Physical Stopper. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a reliable supplier (0.15 assists/90), an aggressive ball-winner (3.2 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (59% duel success), wins the ball cleanly (2.1 successful tackles/90), a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up and top 10% tackler in the league.

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

T
Comparison Base
Tom Sas
DefenderNetherlandsN/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 Tom Sas.

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Frequently Asked Questions

Who are the best alternatives to Tom Sas?
The top alternatives to Tom Sas based on AI DNA playing style analysis include: Junnosuke Suzuki, Nacho Lopez, Jakob Jessen, Christ-Owen Kouassi, Diego van Zutphen. 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 Tom Sas in 2026?
Players with a similar profile to Tom Sas in 2026 include Junnosuke Suzuki (N/A), Nacho Lopez (N/A), Jakob Jessen (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Tom Sas play and who plays similarly?
Tom Sas plays as a Defender. Players with a comparable positional profile include Junnosuke Suzuki (Japan, N/A); Nacho Lopez (Spain, N/A); Jakob Jessen (Denmark, N/A); Christ-Owen Kouassi (France, 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.