RisingTransfers
AI DNA Similarity

Best Alternatives to Daniel Wass

Players most similar to Daniel Wass (Midfielder, €1.8M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Daniel Wass

  1. 1.Damián Rodríguez86% DNA match·Celta de Vigo
  2. 2.Manu Trigueros86% DNA match·Granada
  3. 3.Stephen Eustaquio85% DNA match·Los Angeles FC€7.0M

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

RT

Intelligence Verdict

InterceptionsTop 2%
???Bottom 0%

Daniel Wass is a Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

MetronomeCreativeSmall Sample

Daniel Wass is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as an elite creator (1.7 key passes/90), a prolific assist provider (0.25 assists/90), reads the game exceptionally (2.3 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (56% duel success), central to possession (72 touches/90) and top 20% creator in the league. The three most similar players to Daniel Wass by playing style are:

  • Damián Rodríguez(86% match)Damián Rodríguez Sousa is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as an elite creator (1.6 key passes/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (75 passes/90), creates high-quality scoring opportunities (0.67 big chances/90) and central to possession (86 touches/90).
  • Manu Trigueros(86% match)A Metronome. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (2.2 tackles/90) and meticulous in distribution (89% pass accuracy). Note: this profile is based on 818 minutes of playing time this season.
  • Stephen Eustaquio(85% match)A Metronome. Statistically, he stands out as active in the tackle (2.5 tackles/90), meticulous in distribution (89% pass accuracy), heavily involved in possession (65 passes/90), creates high-quality scoring opportunities (0.57 big chances/90) and central to possession (78 touches/90).

Transfer Intelligence

Stephen Eustaquio delivers 85% of the same playing style, at a 300% premium over Daniel Wass, with 0.84 key passes per 90 at age 29.

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

D
Comparison Base
Daniel Wass
MidfielderDenmark€1.8M
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 Daniel Wass.

Ask AI about Daniel Wass

Frequently Asked Questions

Who are the best alternatives to Daniel Wass?
The top alternatives to Daniel Wass based on AI DNA playing style analysis include: Damián Rodríguez, Manu Trigueros, Stephen Eustaquio, Jordan Holsgrove, Enzo Leopold. 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 Daniel Wass in 2026?
Players with a similar profile to Daniel Wass in 2026 include Damián Rodríguez (N/A), Manu Trigueros (N/A), Stephen Eustaquio (€7.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Daniel Wass play and who plays similarly?
Daniel Wass plays as a Midfielder. Players with a comparable positional profile include Damián Rodríguez (Spain, N/A); Manu Trigueros (Spain, N/A); Stephen Eustaquio (Canada, €7.0M); Jordan Holsgrove (Scotland, 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.