RisingTransfers
AI DNA Similarity

Best Alternatives to Paul Caddis

Players most similar to Paul Caddis (Midfielder, €6.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Paul Caddis

  1. 1.Manu Molina88% DNA match·Eldense
  2. 2.Magnus Saaby87% DNA match·Kolding IF
  3. 3.Simon Bækgård87% DNA match·Aarhus Fremad

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 11%

Guilherme dos Santos Torres is a Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

MetronomeSmall Sample

Guilherme dos Santos Torres is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as a reliable supplier (0.22 assists/90), active in the tackle (1.9 tackles/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (72 passes/90), central to possession (82 touches/90) and switches play with precision (6.7 long balls/90, 77% accuracy). (Limited sample: 417 mins) The three most similar players to Paul Caddis by playing style are:

  • Manu Molina(88% match)A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), wins the physical battle (60% duel success), heavily involved in possession (64 passes/90), central to possession (79 touches/90) and switches play with precision (9.3 long balls/90, 70% accuracy).
  • Magnus Saaby(87% match)A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (87% pass accuracy), heavily involved in possession (63 passes/90), penetrates with forward passing (9.2 final-third passes/90), central to possession (79 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
  • Simon Bækgård(87% match)A Metronome. Statistically, he stands out as meticulous in distribution (87% pass accuracy), wins the physical battle (55% duel success), heavily involved in possession (63 passes/90), penetrates with forward passing (8.3 final-third passes/90), central to possession (78 touches/90) and uses long balls frequently (6.5/90).

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

P
Comparison Base
Paul Caddis
MidfielderBrazil€6.0M
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 Paul Caddis.

Ask AI about Paul Caddis

Frequently Asked Questions

Who are the best alternatives to Paul Caddis?
The top alternatives to Paul Caddis based on AI DNA playing style analysis include: Manu Molina, Magnus Saaby, Simon Bækgård, Caleb Yirenkyi, Nicolai Poulsen. 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 Paul Caddis in 2026?
Players with a similar profile to Paul Caddis in 2026 include Manu Molina (N/A), Magnus Saaby (N/A), Simon Bækgård (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Paul Caddis play and who plays similarly?
Paul Caddis plays as a Midfielder. Players with a comparable positional profile include Manu Molina (Spain, N/A); Magnus Saaby (Denmark, N/A); Simon Bækgård (Denmark, N/A); Caleb Yirenkyi (Ghana, 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.