Best Alternatives to Umut Tohumcu

Top 3 Alternatives to Umut Tohumcu

1. 1.Samed Onur86% DNA match·Gençlerbirliği
2. 2.Mathis Amougou85% DNA match·Strasbourg€10.0M
3. 3.İsmail Yüksek85% DNA match·Fenerbahçe€13.0M

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

Playing Style Analysis

Umut Tohumcu is a Balanced Midfielder. Well-rounded midfielder contributing in multiple phases. Statistically, he stands out as a prolific assist provider (0.26 assists/90), an aggressive ball-winner (2.6 tackles/90), meticulous in distribution (88% pass accuracy), creates high-quality scoring opportunities (0.77 big chances/90) and top 10% tackler in the league. The three most similar players to Umut Tohumcu by playing style are:

• Samed Onur(86% match) — A Ball-Winner. Statistically, he stands out as an elite creator (1.8 key passes/90), a reliable supplier (0.15 assists/90), active in the tackle (2.4 tackles/90), reads the game exceptionally (1.7 interceptions/90), penetrates with forward passing (10.3 final-third passes/90), central to possession (70 touches/90), draws fouls effectively (3.2/90), switches play with precision (6.1 long balls/90, 69% accuracy), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up and top 20% creator in the league. Note: this profile is based on 594 minutes of playing time this season.
• Mathis Amougou(85% match) — A Balanced Midfielder. Statistically, he stands out as active in the tackle (2.2 tackles/90) and creates high-quality scoring opportunities (0.52 big chances/90). Note: this profile is based on 858 minutes of playing time this season.
• İsmail Yüksek(85% match) — İsmail Yüksek is a Ball-Winner. Aggressive midfielder who disrupts opponents. Statistically, he stands out as a reliable supplier (0.19 assists/90), an aggressive ball-winner (3.6 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (58% duel success), heavily involved in play (65 touches/90) and top 10% tackler in the league.

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