RisingTransfers
AI DNA Similarity

Best Alternatives to Javairô Dilrosun

Players most similar to Javairô Dilrosun (Attacker, €4.6M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Javairô Dilrosun

  1. 1.Grady Diangana81% DNA match·Elche€3.5M
  2. 2.Moussa Djenepo80% DNA match·Esteghlal€15.7M
  3. 3.Bryan Gil81% DNA match·Girona€12.0M

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

RT

Intelligence Verdict

AssistsTop 22%
???Bottom 6%

Dilrosun is Liga MX's enigma wrapped in an assist: capable of crafting opportunities...

See Full Verdict + Share Card →

Playing Style Analysis

Dilrosun is Liga MX's enigma wrapped in an assist: capable of crafting opportunities, but seemingly allergic to converting them himself. His passing accuracy sits in the top 30%, indicating a solid foundation for link-up play, and he's a willing distributor, evidenced by a similar ranking in passes/90. That said, while his 0.25 assists/90 is respectable, it masks a worrying lack of incision, particularly when juxtaposed with a paltry 0.08 goals/90. The three most similar players to Javairô Dilrosun by playing style are:

  • Grady Diangana(81% match)A Forward. Statistically, he stands out as naturally left-footed, a capable chance creator (1.0 key passes/90) and meticulous in distribution (86% pass accuracy). However, he loses possession under pressure (1.6 dispossessed/90).
  • Moussa Djenepo(80% match)A Complete Forward. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a dynamic dribbler (4.0/90), creates high-quality scoring opportunities (0.84 big chances/90) and draws fouls effectively (2.7/90). However, he loses possession under pressure (2.0 dispossessed/90) and prone to committing fouls (2.5/90).
  • Bryan Gil(81% match)A Forward. Statistically, he stands out as naturally left-footed, a capable chance creator (1.3 key passes/90), a reliable supplier (0.23 assists/90) and draws fouls effectively (2.5/90). However, he loses possession under pressure (2.7 dispossessed/90).

Transfer Intelligence

Grady Diangana delivers 81% of the same playing style, at 24% lower cost (€3.5M vs €4.6M), with 0.15 goals per 90 at age 28. That's 184% of Javairô Dilrosun's output in goals per 90 — a credible like-for-like option.

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

J
Comparison Base
Javairô Dilrosun
AttackerNetherlands€4.6M
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 Javairô Dilrosun.

Ask AI about Javairô Dilrosun

Frequently Asked Questions

Who are the best alternatives to Javairô Dilrosun?
The top alternatives to Javairô Dilrosun based on AI DNA playing style analysis include: Grady Diangana, Moussa Djenepo, Bryan Gil, Dennis Man, Thiago Fernández. 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 Javairô Dilrosun in 2026?
Players with a similar profile to Javairô Dilrosun in 2026 include Grady Diangana (€3.5M), Moussa Djenepo (€15.7M), Bryan Gil (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Javairô Dilrosun play and who plays similarly?
Javairô Dilrosun plays as a Attacker. Players with a comparable positional profile include Grady Diangana (England, €3.5M); Moussa Djenepo (Mali, €15.7M); Bryan Gil (Spain, €12.0M); Dennis Man (Romania, €13.0M).
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.