RisingTransfers
AI DNA Similarity

Best Alternatives to Muhammed Şengezer

Players most similar to Muhammed Şengezer (Goalkeeper, €1.1M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Muhammed Şengezer

  1. 1.Berke Özer88% DNA match·LOSC Lille€10.0M
  2. 2.Ivo Grbic86% DNA match·Fatih Karagümrük€3.5M
  3. 3.André Onana86% DNA match·Trabzonspor€15.0M

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

RT

Intelligence Verdict

AssistsTop 9%
???Bottom 0%

A Sweeper-Keeper....

See Full Verdict + Share Card →

Playing Style Analysis

Sweeper-Keeper

A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and reliable in goal (3.2 saves/90). The three most similar players to Muhammed Şengezer by playing style are:

  • Berke Özer(88% match)A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (86% success). Note: this profile is based on 810 minutes of playing time this season.
  • Ivo Grbic(86% match)Grbic is a statistical anomaly in the Super Lig, operating less like a traditional shot-stopper and more like a deep-lying libero who happens to wear gloves. While his 1,980 minutes prove his durability, it is his 73.8% pass accuracy—placing him in the elite top 5% of the league—that defines his profile as a modern distributor. He doesn't just clear the ball; he initiates, evidenced by his 2.58 passes into the final third per 90.
  • André Onana(86% match)Onana is the rare goalkeeper who functions less like a last line of defence and more like an auxiliary midfielder wearing gloves. His 80.3% pass accuracy places him in the top 5% of Super Lig goalkeepers, but the more revealing number is his 3.81 passes into the final third per 90—he isn't just recycling possession, he's actively advancing it. The counterintuitive detail: his 0.10 key passes and 0.05 assists per 90 both rank top 5% in the league, meaning this goalkeeper is, statistically, a chance creator.

Transfer Intelligence

Berke Özer delivers 88% of the same playing style, at a 770% premium over Muhammed Şengezer, and is 25 years old.

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

M
Comparison Base
Muhammed Şengezer
GoalkeeperTurkey€1.1M
Full profile →

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 Muhammed Şengezer.

Ask AI about Muhammed Şengezer

Frequently Asked Questions

Who are the best alternatives to Muhammed Şengezer?
The top alternatives to Muhammed Şengezer based on AI DNA playing style analysis include: Berke Özer, Ivo Grbic, André Onana, Ederson, Adrian Semper. 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 Muhammed Şengezer in 2026?
Players with a similar profile to Muhammed Şengezer in 2026 include Berke Özer (€10.0M), Ivo Grbic (€3.5M), André Onana (€15.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Muhammed Şengezer play and who plays similarly?
Muhammed Şengezer plays as a Goalkeeper. Players with a comparable positional profile include Berke Özer (Turkey, €10.0M); Ivo Grbic (Croatia, €3.5M); André Onana (Cameroon, €15.0M); Ederson (Brazil, €13.0M).
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.