RisingTransfers
AI DNA Similarity

Best Alternatives to Mateusz Praszelik

Players most similar to Mateusz Praszelik (Midfielder, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mateusz Praszelik

  1. 1.Mateusz Legowski85% DNA match·Eyüpspor€3.0M
  2. 2.Jakub Piotrowski83% DNA match·Udinese€4.5M
  3. 3.Alexandru Maxim82% DNA match·Gaziantep F.K.€3.0M

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

RT

Intelligence Verdict

GoalsTop 11%
???Bottom 0%

A Balanced Midfielder....

See Full Verdict + Share Card →

Playing Style Analysis

Balanced MidfielderSmall Sample

A Balanced Midfielder. Statistically, he stands out as a regular goalscorer (0.21 goals/90) and heavily involved in play (51 touches/90). Note: this profile is based on 861 minutes of playing time this season. The three most similar players to Mateusz Praszelik by playing style are:

  • Mateusz Legowski(85% match)A Ball-Winner.
  • Jakub Piotrowski(83% match)A Balanced Midfielder. Statistically, he stands out as active in the tackle (2.2 tackles/90), wins the physical battle (60% duel success) and active off the ball (2.6 press score/90), contributing to defensive transitions.
  • Alexandru Maxim(82% match)Maxim is the quintessential Super Lig puppet master, a high-volume creator who thrives on the edge of chaos for a Tier C side where he is the undisputed offensive heartbeat. While his team struggles for dominance, Maxim operates in a different stratosphere, ranking in the top 5% of the league for both key passes (3.15/90) and assists, proving he is not just a facilitator but a primary architect. His 7.43 passes into the final third place him in the elite bracket of progressive distributors, yet the counterintuitive reality of his profile lies in his physicality; despite a low volume of aerial duels, his 50% win rate suggests a player with high tactical intelligence in positioning rather than raw power.

Transfer Intelligence

Mateusz Legowski delivers 85% of the same playing style, at a 50% premium over Mateusz Praszelik, with 0.85 key passes per 90 at age 23.

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

M
Comparison Base
Mateusz Praszelik
MidfielderPoland€2.0M
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 Mateusz Praszelik.

Ask AI about Mateusz Praszelik

Frequently Asked Questions

Who are the best alternatives to Mateusz Praszelik?
The top alternatives to Mateusz Praszelik based on AI DNA playing style analysis include: Mateusz Legowski, Jakub Piotrowski, Alexandru Maxim, Kacper Kozlowski, Nicola Zalewski. 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 Mateusz Praszelik in 2026?
Players with a similar profile to Mateusz Praszelik in 2026 include Mateusz Legowski (€3.0M), Jakub Piotrowski (€4.5M), Alexandru Maxim (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mateusz Praszelik play and who plays similarly?
Mateusz Praszelik plays as a Midfielder. Players with a comparable positional profile include Mateusz Legowski (Poland, €3.0M); Jakub Piotrowski (Poland, €4.5M); Alexandru Maxim (Romania, €3.0M); Kacper Kozlowski (Poland, €5.0M).
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.