RisingTransfers
AI DNA Similarity

Best Alternatives to Yiğit Efe Demir

Players most similar to Yiğit Efe Demir (Defender, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Yiğit Efe Demir

  1. 1.João Afonso99% DNA match·Tondela
  2. 2.Omar Fayed99% DNA match·Arouca
  3. 3.Magnus Døj99% DNA match·Kolding IF

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

Playing Style Analysis

Ball-Playing CBBall-PlayingAerialSmall Sample

A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), commanding in the air (4.5 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (69% duel success), heavily involved in possession (72 passes/90), wins the ball cleanly (2.2 successful tackles/90), central to possession (88 touches/90), dominant in the air (4.3 aerials won/90, 72%), 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 626 minutes of playing time this season. The three most similar players to Yiğit Efe Demir by playing style are:

  • João Afonso(99% match)A Physical Stopper. Statistically, he stands out as active in the tackle (1.9 tackles/90), commanding in the air (7.4 clearances/90), reads the game exceptionally (3.0 interceptions/90), wins the physical battle (62% duel success), dominant in the air (3.6 aerials won/90, 64%), uses long balls frequently (6.3/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 599 minutes of playing time this season.
  • Omar Fayed(99% match)A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (3.5 tackles/90), commanding in the air (4.5 clearances/90), reads the game exceptionally (2.0 interceptions/90), meticulous in distribution (88% pass accuracy), wins the physical battle (65% duel success), wins the ball cleanly (2.0 successful tackles/90), central to possession (73 touches/90), uses long balls frequently (7.5/90), a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 494 minutes of playing time this season.
  • Magnus Døj(99% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.3 tackles/90), commanding in the air (5.3 clearances/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (57% duel success) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 555 minutes of playing time this season.

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

Y
Comparison Base
Yiğit Efe Demir
DefenderTurkey€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
João Afonso
Tondela · Liga Portugal
Portugal35yContract 2026
Tkl/901.95
KP/900.00
Physical StopperAerial
Last 5: ↑ Hot
vs Demir: 14y older
99% match
N/A
#2
O
Omar Fayed
Arouca · Liga Portugal
Egypt22y
Tkl/903.46
KP/900.00
Ball-Playing CBBall-Playing
99% match
N/A
#3
M
Magnus Døj
Kolding IF · Superliga
Denmark20y
Tkl/902.36
KP/900.54
Ball-Playing CBAerial
Last 5: → Stable
99% match
N/A
#4
T
Tijn Joosten
VVV-Venlo · Eredivisie
Netherlands19y
Tkl/900.45
KP/900.45
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
99% match
N/A
#5
G
Gustav Bjerge
Hobro · Superliga
Denmark20y
Tkl/901.25
KP/900.42
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
99% match
N/A
#6
D
Dylan Timber
VVV-Venlo · Eredivisie
Netherlands26yContract 2026
Tkl/903.14
KP/900.18
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
99% match
N/A
#7
C
Claudio Kammerknecht
Dynamo Dresden · Bundesliga
Germany26yContract 2026
Tkl/903.84
KP/900.27
Ball-Playing CBBall-Playing
99% match
N/A
#8
S
Stephen Acquah
Nordsjælland · Superliga
Ghana20yContract 2029
Tkl/901.67
KP/900.00
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
99% match
N/A
#9
F
Fabio Chiarodia
Borussia Mönchengladbach · Bundesliga
Italy20yContract 2027
Tkl/900.48
KP/900.00
Ball-Playing CBBall-Playing
99% match
€3.0M
#10
S
Semih Güler
Kayserispor · Super Lig
Germany31y
Tkl/901.68
KP/900.21
Ball-Playing CBAerial
Last 5: → Stable
98% match
N/A
#11
B
Bahadır Öztürk
Antalyaspor · Super Lig
Turkey30yContract 2026
Tkl/901.06
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable
98% match
N/A
#12
E
Emir Ortakaya
Rizespor · Super Lig
Turkey21y
Tkl/901.36
KP/900.00
Ball-Playing CBAerial
Last 5: ↓ Dip
98% match
N/A

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 Yiğit Efe Demir.

Ask AI about Yiğit Efe Demir

Frequently Asked Questions

Who are the best alternatives to Yiğit Efe Demir?
The top alternatives to Yiğit Efe Demir based on AI DNA playing style analysis include: João Afonso, Omar Fayed, Magnus Døj, Tijn Joosten, Gustav Bjerge. 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 Yiğit Efe Demir in 2026?
Players with a similar profile to Yiğit Efe Demir in 2026 include João Afonso (N/A), Omar Fayed (N/A), Magnus Døj (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Yiğit Efe Demir play and who plays similarly?
Yiğit Efe Demir plays as a Defender. Players with a comparable positional profile include João Afonso (Portugal, N/A); Omar Fayed (Egypt, N/A); Magnus Døj (Denmark, N/A); Tijn Joosten (Netherlands, 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.