RisingTransfers
AI DNA Similarity

Best Alternatives to Berat Özdemir

Players most similar to Berat Özdemir (Midfielder, €2.4M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Berat Özdemir

  1. 1.Salih Özcan90% DNA match·Borussia Dortmund€3.5M
  2. 2.Denis Huseinbasic85% DNA match·FC Köln€3.0M
  3. 3.Michel Aebischer85% DNA match·Pisa€4.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

Metronome

A Metronome. Statistically, he stands out as meticulous in distribution (88% pass accuracy), wins the physical battle (65% duel success), heavily involved in possession (67 passes/90), penetrates with forward passing (10.1 final-third passes/90), central to possession (78 touches/90), switches play with precision (10.5 long balls/90, 72% accuracy) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up. The three most similar players to Berat Özdemir by playing style are:

  • Salih Özcan(90% match)Özcan is a metronomic disruptor whose high-volume passing and elite defensive anticipation make him the structural glue for a mid-table side. While his 79.2% pass accuracy appears merely average, it is a byproduct of his relentless involvement; ranking in the top 5% for passes per 90 (57.9) suggests he is the primary valve through whom the game flows, rather than a passenger. His true value lies in his spatial intelligence, evidenced by a staggering 2.78 interceptions per 90—putting him in the league’s elite tier for reading play.
  • Denis Huseinbasic(85% match)A Balanced Midfielder. Statistically, he stands out as active in the tackle (2.2 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (62% duel success), heavily involved in play (62 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 721 minutes of playing time this season.
  • Michel Aebischer(85% match)A Balanced Midfielder. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (1.8 tackles/90), penetrates with forward passing (8.8 final-third passes/90), heavily involved in play (62 touches/90), uses long balls frequently (7.7/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.

Transfer Intelligence

Salih Özcan delivers 90% of the same playing style, at a 43% premium over Berat Özdemir, with 1.26 key passes per 90 at age 28.

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

B
Comparison Base
Berat Özdemir
MidfielderTurkey€2.4M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Salih Özcan
Borussia Dortmund · Bundesliga
Turkey28yContract 2026
KP/901.26
G/900.00
MetronomeSmall Sample
90% match
€3.5M
#2
D
Denis Huseinbasic
FC Köln · Bundesliga
Germany24yContract 2027
KP/900.79
G/900.00
Balanced MidfielderSmall Sample
vs Özdemir: 3y younger
85% match
€3.0M
#3
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
vs Özdemir: 2y older
85% match
€4.0M
#4
P
Pascal Groß
Brighton & Hove Albion · Bundesliga
Germany34yContract 2027
KP/902.16
G/900.06
MetronomeCreative
Last 5: → Stable
85% match
€3.5M
#5
L
Leon Avdullahu
TSG Hoffenheim · Bundesliga
Switzerland22yContract 2029
KP/901.02
G/900.00
MetronomeSmall Sample
Last 5: ↑ Hot
84% match
€17.0M
#6
N
Niklas Dorsch
Heidenheim · Bundesliga
Germany28yContract 2028
KP/901.03
G/900.00
Ball-WinnerDefensive
85% match
€3.0M
#7
D
David Santos Daiber
FC Bayern München · Bundesliga
Portugal19yContract 2027
KP/901.50
G/900.00
Ball-WinnerCreative
85% match
€3.0M
#8
A
Alexandru Maxim
Gaziantep F.K. · Super Lig
Romania35y
KP/903.31
G/900.17
Box-to-BoxCreative
Last 5: → Stable
84% match
€3.0M
#9
R
Robin Fellhauer
FC Augsburg · Bundesliga
Germany28yContract 2029
KP/900.68
G/900.10
Box-to-BoxSmall Sample
84% match
€3.0M
#10
R
Remo Freuler
Bologna · Serie A
Switzerland34yContract 2026
KP/900.83
G/900.00
Chance Creator
Last 5: → Stable
84% match
€4.0M
#11
M
Maxi Oyedele
Strasbourg · Ligue 1
Poland21yContract 2030
KP/900.22
G/900.22
Ball-WinnerDefensive
Last 5: ↓ Dip
84% match
€4.0M
#12
M
M. Madsen
FC København · Superliga
Denmark28yContract 2028
KP/900.67
G/900.00
CreatorCreative
Last 5: ↑ Hot
84% match
€4.0M

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 Berat Özdemir.

Ask AI about Berat Özdemir

Frequently Asked Questions

Who are the best alternatives to Berat Özdemir?
The top alternatives to Berat Özdemir based on AI DNA playing style analysis include: Salih Özcan, Denis Huseinbasic, Michel Aebischer, Pascal Groß, Leon Avdullahu. 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 Berat Özdemir in 2026?
Players with a similar profile to Berat Özdemir in 2026 include Salih Özcan (€3.5M), Denis Huseinbasic (€3.0M), Michel Aebischer (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Berat Özdemir play and who plays similarly?
Berat Özdemir plays as a Midfielder. Players with a comparable positional profile include Salih Özcan (Turkey, €3.5M); Denis Huseinbasic (Germany, €3.0M); Michel Aebischer (Switzerland, €4.0M); Pascal Groß (Germany, €3.5M).
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.