RisingTransfers
AI DNA Similarity

Best Alternatives to Ardon Jashari

Players most similar to Ardon Jashari (Midfielder, €30.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Ardon Jashari

  1. 1.Caleb Yirenkyi98% DNA match·Nordsjælland
  2. 2.Pedro Santos98% DNA match·Arouca
  3. 3.Enzo Leopold97% DNA match·Hannover 96

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

Playing Style Analysis

MetronomeCreativeSmall Sample

A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.20 assists/90), active in the tackle (2.2 tackles/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (62 passes/90), central to possession (77 touches/90) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up. Note: this profile is based on 459 minutes of playing time this season. The three most similar players to Ardon Jashari by playing style are:

  • Caleb Yirenkyi(98% match)A Metronome. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a reliable supplier (0.21 assists/90), active in the tackle (2.0 tackles/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (65 passes/90), central to possession (81 touches/90) and a high-intensity presser (press score 3.7/90), constantly disrupting opposition build-up.
  • 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.
  • Enzo Leopold(97% match)A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (68 passes/90), central to possession (87 touches/90), draws fouls effectively (2.3/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 20% creator in the league.

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

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Comparison Base
Ardon Jashari
MidfielderSwitzerland€30.0M
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 Ardon Jashari.

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Frequently Asked Questions

Who are the best alternatives to Ardon Jashari?
The top alternatives to Ardon Jashari based on AI DNA playing style analysis include: Caleb Yirenkyi, Pedro Santos, Enzo Leopold, Rasmus Falk, Jordan Holsgrove. 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 Ardon Jashari in 2026?
Players with a similar profile to Ardon Jashari in 2026 include Caleb Yirenkyi (N/A), Pedro Santos (N/A), Enzo Leopold (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ardon Jashari play and who plays similarly?
Ardon Jashari plays as a Midfielder. Players with a comparable positional profile include Caleb Yirenkyi (Ghana, N/A); Pedro Santos (Portugal, N/A); Enzo Leopold (Germany, N/A); Rasmus Falk (Denmark, 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.