RisingTransfers
AI DNA Similarity

Best Alternatives to Patrick Yazbek

Players most similar to Patrick Yazbek (Midfielder, €2.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Patrick Yazbek

  1. 1.Pedro Santos97% DNA match·Arouca
  2. 2.Caleb Yirenkyi96% DNA match·Nordsjælland
  3. 3.Marcus Bonde96% DNA match·Aalborg BK

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

RT

Intelligence Verdict

AssistsTop 4%
???Bottom 0%

A Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

MetronomeSmall Sample

A Metronome. Statistically, he stands out as a prolific assist provider (0.41 assists/90), meticulous in distribution (91% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (63 passes/90) and central to possession (75 touches/90). Note: this profile is based on 657 minutes of playing time this season. The three most similar players to Patrick Yazbek by playing style are:

  • Pedro Santos(97% 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.
  • Caleb Yirenkyi(96% 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.
  • Marcus Bonde(96% 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.

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

P
Comparison Base
Patrick Yazbek
MidfielderAustralia€2.5M
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 Patrick Yazbek.

Ask AI about Patrick Yazbek

Frequently Asked Questions

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