RisingTransfers
AI DNA Similarity

Best Alternatives to Lukasz Poreba

Players most similar to Lukasz Poreba (Midfielder, €300K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Lukasz Poreba

  1. 1.Jerome Deom98% DNA match·Roda JC Kerkrade
  2. 2.Robert Wagner98% DNA match·Dynamo Dresden
  3. 3.Yusuf Deniz Sas98% DNA match·Ümraniyespor

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

RT

Intelligence Verdict

Press IntensityTop 13%
???Bottom 0%

A Box-to-Box....

See Full Verdict + Share Card →

Playing Style Analysis

Box-to-BoxSmall Sample

A Box-to-Box. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (2.5 tackles/90), meticulous in distribution (88% pass accuracy), creates high-quality scoring opportunities (0.69 big chances/90) and heavily involved in play (60 touches/90). Note: this profile is based on 656 minutes of playing time this season. The three most similar players to Lukasz Poreba by playing style are:

  • Jerome Deom(98% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), an aggressive ball-winner (2.6 tackles/90), wins the ball cleanly (2.4 successful tackles/90), heavily involved in play (57 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 490 minutes of playing time this season.
  • Robert Wagner(98% match)A Box-to-Box. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (86% pass accuracy), heavily involved in play (60 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
  • Yusuf Deniz Sas(98% match)A Box-to-Box. Statistically, he stands out as an elite creator (2.7 key passes/90), a reliable supplier (0.19 assists/90), active in the tackle (1.9 tackles/90), wins the physical battle (58% duel success), central to possession (71 touches/90), draws fouls effectively (2.3/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league. Note: this profile is based on 469 minutes of playing time this season.

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

L
Comparison Base
Lukasz Poreba
MidfielderPoland€300K
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 Lukasz Poreba.

Ask AI about Lukasz Poreba

Frequently Asked Questions

Who are the best alternatives to Lukasz Poreba?
The top alternatives to Lukasz Poreba based on AI DNA playing style analysis include: Jerome Deom, Robert Wagner, Yusuf Deniz Sas, Mawuli Kwame Mensah Vadze, Ruben Müller. 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 Lukasz Poreba in 2026?
Players with a similar profile to Lukasz Poreba in 2026 include Jerome Deom (N/A), Robert Wagner (N/A), Yusuf Deniz Sas (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Lukasz Poreba play and who plays similarly?
Lukasz Poreba plays as a Midfielder. Players with a comparable positional profile include Jerome Deom (Belgium, N/A); Robert Wagner (Germany, N/A); Yusuf Deniz Sas (Turkey, N/A); Mawuli Kwame Mensah Vadze (Ghana, 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.