RisingTransfers
AI DNA Similarity

Best Alternatives to Edwin Cerrillo

Players most similar to Edwin Cerrillo (Midfielder, €3.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Edwin Cerrillo

  1. 1.Magnus Saaby98% DNA match·Kolding IF
  2. 2.Frederik Grube98% DNA match·Aarhus Fremad
  3. 3.Mark Brink98% DNA match·Nordsjælland

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

RT

Intelligence Verdict

???Bottom 0%

A Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

MetronomeSmall Sample

A Metronome. Statistically, he stands out as meticulous in distribution (92% pass accuracy), wins the physical battle (55% duel success), heavily involved in possession (63 passes/90), penetrates with forward passing (9.1 final-third passes/90), central to possession (73 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 850 minutes of playing time this season. The three most similar players to Edwin Cerrillo by playing style are:

  • Magnus Saaby(98% 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.
  • Frederik Grube(98% match)A Metronome. Statistically, he stands out as meticulous in distribution (89% pass accuracy), heavily involved in possession (65 passes/90), penetrates with forward passing (8.3 final-third passes/90), central to possession (78 touches/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
  • Mark Brink(98% match)A Metronome. Statistically, he stands out as meticulous in distribution (91% pass accuracy), heavily involved in possession (72 passes/90), central to possession (81 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.

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

E
Comparison Base
Edwin Cerrillo
MidfielderUnited States€3.5M
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 Edwin Cerrillo.

Ask AI about Edwin Cerrillo

Frequently Asked Questions

Who are the best alternatives to Edwin Cerrillo?
The top alternatives to Edwin Cerrillo based on AI DNA playing style analysis include: Magnus Saaby, Frederik Grube, Mark Brink, Pedro Santos, Marcus Bonde. 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 Edwin Cerrillo in 2026?
Players with a similar profile to Edwin Cerrillo in 2026 include Magnus Saaby (N/A), Frederik Grube (N/A), Mark Brink (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Edwin Cerrillo play and who plays similarly?
Edwin Cerrillo plays as a Midfielder. Players with a comparable positional profile include Magnus Saaby (Denmark, N/A); Frederik Grube (Denmark, N/A); Mark Brink (Denmark, N/A); Pedro Santos (Portugal, 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.