Best Alternatives to Brad Potts
Players most similar to Brad Potts (Defender, €1.6M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Brad Potts
- 1.Matheus Pereira98% DNA match·Toronto
- 2.Anton Donkor98% DNA match·Schalke 04
- 3.Jannes Wieckhoff98% DNA match·Heracles Almelo
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 a capable chance creator (1.1 key passes/90), a regular goalscorer (0.24 goals/90), a reliable supplier (0.24 assists/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 751 minutes of playing time this season. The three most similar players to Brad Potts by playing style are:
- Matheus Pereira(98% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.0 key passes/90), active in the tackle (2.2 tackles/90), draws fouls effectively (2.0/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 720 minutes of playing time this season.
- Anton Donkor(98% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (1.8 tackles/90), creates high-quality scoring opportunities (0.69 big chances/90), central to possession (71 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 786 minutes of playing time this season.
- Jannes Wieckhoff(98% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.2 key passes/90), an aggressive ball-winner (2.8 tackles/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 847 minutes of playing time this season.
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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