Best Alternatives to Kevin Sessa
Players most similar to Kevin Sessa (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Kevin Sessa
- 1.Alessandro De Vitis99% DNA match·Rimini
- 2.Diogo Sousa98% DNA match·Vitória Guimarães
- 3.Mawuli Kwame Mensah Vadze98% DNA match·Real Betis
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Box-to-Box....”
See Full Verdict + Share Card →Playing Style Analysis
A Box-to-Box. Statistically, he stands out as active in the tackle (2.2 tackles/90), reads the game exceptionally (2.0 interceptions/90), wins the physical battle (59% duel success), heavily involved in play (53 touches/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up. Note: this profile is based on 683 minutes of playing time this season. The three most similar players to Kevin Sessa by playing style are:
- Alessandro De Vitis(99% match) — A Box-to-Box. Statistically, he stands out as a reliable supplier (0.19 assists/90), active in the tackle (2.3 tackles/90), reads the game exceptionally (2.3 interceptions/90) and wins the physical battle (68% duel success). Note: this profile is based on 476 minutes of playing time this season.
- Diogo Sousa(98% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), heavily involved in play (67 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.
- Mawuli Kwame Mensah Vadze(98% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.5 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (63% duel success), heavily involved in play (59 touches/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up. Note: this profile is based on 688 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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