Best Alternatives to Przemyslaw Frankowski
Players most similar to Przemyslaw Frankowski (Defender, €7.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Przemyslaw Frankowski
- 1.Jonathan Clauss86% DNA match·Nice€4.5M
- 2.Arsène Kouassi85% DNA match·Lorient€7.0M
- 3.Joshua Brenet86% DNA match·Kayserispor€3.5M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Active Full-Back....”
See Full Verdict + Share Card →Playing Style Analysis
A Active Full-Back. Statistically, he stands out as an elite creator (2.0 key passes/90), an aggressive ball-winner (2.8 tackles/90), wins the physical battle (64% duel success) and top 10% tackler in the league. Note: this profile is based on 580 minutes of playing time this season. The three most similar players to Przemyslaw Frankowski by playing style are:
- Jonathan Clauss(86% match) — A Active Full-Back. Statistically, he stands out as an elite creator (2.4 key passes/90), a reliable supplier (0.18 assists/90), an aggressive ball-winner (2.5 tackles/90), reads the game exceptionally (1.7 interceptions/90), wins the physical battle (56% duel success), central to possession (75 touches/90), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up and top 10% tackler in the league.
- Arsène Kouassi(85% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.3 key passes/90), a prolific assist provider (0.43 assists/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 847 minutes of playing time this season.
- Joshua Brenet(86% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.1 key passes/90). Note: this profile is based on 707 minutes of playing time this season.
Transfer Intelligence
Jonathan Clauss delivers 86% of the same playing style, at 36% lower cost (€4.5M vs €7.0M), with 1.71 tackles won per 90 at age 33.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
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