Best Alternatives to Tayfur Bingöl
Players most similar to Tayfur Bingöl (Attacker, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Tayfur Bingöl
- 1.Milot Rashica86% DNA match·Beşiktaş€4.0M
- 2.Oğuz Aydın85% DNA match·Fenerbahçe€8.0M
- 3.İrfan Can Kahveci84% DNA match·Kasımpaşa€4.5M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Intelligence Verdict
“A Forward....”
See Full Verdict + Share Card →Playing Style Analysis
A Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a regular goalscorer (0.22 goals/90). However, he loses possession under pressure (2.1 dispossessed/90). The three most similar players to Tayfur Bingöl by playing style are:
- Milot Rashica(86% match) — Rashica has evolved from a purebred transitional speedster into a blue-collar creative engine who defies the typical "luxury" winger archetype. While his 72% pass accuracy suggests a lack of refinement, the data reveals a high-risk, high-reward playmaker who sits in the top 5% of the Super Lig for key passes (2.11/90) and assists (0.32/90). The counterintuitive insight here is his defensive ferocity; despite being an attacker, he ranks in the top 5% for both ground duel win rate (83.3%) and tackles won, functioning more like a defensive end in a high-pressing system than a traditional wide man.
- Oğuz Aydın(85% match) — A Link-up Striker. Statistically, he stands out as an elite creator (3.1 key passes/90), a reliable supplier (0.16 assists/90) and meticulous in distribution (87% pass accuracy). Note: this profile is based on 551 minutes of playing time this season.
- İrfan Can Kahveci(84% match) — A Forward. Statistically, he stands out as naturally left-footed, an elite creator (1.9 key passes/90) and a reliable supplier (0.23 assists/90).
Transfer Intelligence
Milot Rashica delivers 86% of the same playing style, at a 300% premium over Tayfur Bingöl, with 0.09 goals per 90 at age 29. That's 43% of Tayfur Bingöl's output in goals per 90 — a credible like-for-like option.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
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 Tayfur Bingöl.
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