RisingTransfers
AI DNA Similarity

Best Alternatives to Allan

Players most similar to Allan (Midfielder, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Allan

  1. 1.Pedro Santos98% DNA match·Arouca
  2. 2.Marcus Bonde98% DNA match·Aalborg BK
  3. 3.Mees Hoedemakers97% DNA match·Viborg FF

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

RT

Intelligence Verdict

InterceptionsTop 5%
???Bottom 0%

A Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

MetronomeSmall Sample

A Metronome. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), active in the tackle (1.8 tackles/90), reads the game exceptionally (2.0 interceptions/90), wins the physical battle (60% duel success), heavily involved in possession (61 passes/90), penetrates with forward passing (11.3 final-third passes/90), central to possession (73 touches/90), switches play with precision (7.7 long balls/90, 67% accuracy) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 493 minutes of playing time this season. The three most similar players to Allan by playing style are:

  • Pedro Santos(98% match)A Metronome. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (68 passes/90), penetrates with forward passing (11.3 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (7.6/90) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up. Note: this profile is based on 756 minutes of playing time this season.
  • Marcus Bonde(98% match)A Metronome. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (76 passes/90), penetrates with forward passing (9.9 final-third passes/90), central to possession (92 touches/90) and uses long balls frequently (5.3/90). Note: this profile is based on 648 minutes of playing time this season.
  • Mees Hoedemakers(97% match)A Metronome. Statistically, he stands out as an aggressive ball-winner (3.5 tackles/90), reads the game exceptionally (2.1 interceptions/90), wins the physical battle (61% duel success), wins the ball cleanly (1.9 successful tackles/90), central to possession (74 touches/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 517 minutes of playing time this season.

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

A
Comparison Base
Allan
MidfielderBrazil€3.0M
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 Allan.

Ask AI about Allan

Frequently Asked Questions

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