⬡ AI DNA · Live season

Trabzonspor· 2025/2026 · Super Lig · PARTIAL

Best Alternatives to Ali Şahin Yılmaz

Centre BackTurkey22yN/AFull profile →

Physical StopperAerialSmall Sample

2.57Tkl/90

0.17KP/90

Based on 525 min · 2025/2026 · Super Lig · PARTIAL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

DNA matchPrioritizes Super Lig & top-tier peers

Top 3 alternatives to Ali Şahin Yılmaz

Allan Godói98% match
Göztepe · Super Lig
Festy Ebosele97% match
İstanbul Başakşehir · Super Lig
Alessandro Dellavalle99% match
Torino · Serie A

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

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Playing Style Analysis

Physical StopperAerialSmall Sample

A Physical Stopper. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), commanding in the air (7.5 clearances/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (59% duel success), uses long balls frequently (6.0/90), active off the ball (2.4 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 525 minutes of playing time this season. The three closest DNA matches to Ali Şahin Yılmaz:

Allan Godói(98% match) — A Physical Stopper. Statistically, he stands out as active in the tackle (1.8 tackles/90), commanding in the air (6.7 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (64% duel success) and active off the ball (2.4 press score/90), contributing to defensive transitions.
Festy Ebosele(97% match) — A Physical Stopper. Statistically, he stands out as an aggressive ball-winner (4.6 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (58% duel success), wins the ball cleanly (3.3 successful tackles/90), draws fouls effectively (2.1/90), a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up and top 10% tackler in the league.
Alessandro Dellavalle(99% match) — A Physical Stopper. Statistically, he stands out as an aggressive ball-winner (2.8 tackles/90), commanding in the air (4.0 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (56% duel success), uses long balls frequently (6.3/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

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Similar Players — Ranked by DNA Similarity

Göztepe · Super Lig

Physical StopperAerialSteady form

vs Yılmaz: 11y older

98% match

N/A

Compare Yılmaz vs Godói →

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Knows 56,883 players. Knows 3,481 clubs.

Frequently Asked Questions

Who are the best alternatives to Ali Şahin Yılmaz?▼

The top alternatives to Ali Şahin Yılmaz based on AI DNA playing style analysis include: Allan Godói, Festy Ebosele, Alessandro Dellavalle, Michael Schultz, Luca Marianucci. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.

Which players are similar to Ali Şahin Yılmaz in 2026?▼

Players with a similar profile to Ali Şahin Yılmaz in 2026 include Allan Godói (N/A), Festy Ebosele (N/A), Alessandro Dellavalle (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Ali Şahin Yılmaz play and who plays similarly?▼

Ali Şahin Yılmaz plays as a Defender. Players with a comparable positional profile include Allan Godói (Brazil, N/A); Festy Ebosele (Republic of Ireland, N/A); Alessandro Dellavalle (Italy, N/A); Michael Schultz (Germany, N/A).

How does Rising Transfers find similar players?▼

Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.

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