RisingTransfers
AI DNA Similarity

Best Alternatives to Eyüp Aydın

Players most similar to Eyüp Aydın (Midfielder, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Eyüp Aydın

  1. 1.Salih Özcan85% DNA match·Borussia Dortmund€3.5M
  2. 2.Kaan Ayhan83% DNA match·Galatasaray€3.0M
  3. 3.Neil El Aynaoui84% DNA match·Roma€20.0M

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

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Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

Aydın is an industrious, high-cadence midfield disruptor who blends Bayern Munich academy technical...

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Playing Style Analysis

Chance Creator

Aydın is an industrious, high-cadence midfield disruptor who blends Bayern Munich academy technical foundations with a gritty, Super Lig-tested defensive motor. While his 328 minutes offer only a partial sample, the data screams "modern destroyer," placing him in the top 10% of the league for tackles won and the top 20% for pressing intensity. He isn't just a passive screen; he is a proactive ball-hunter who wins half his aerial duels, a rarity for a player of his profile. The three most similar players to Eyüp Aydın by playing style are:

  • Salih Özcan(85% 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.
  • Kaan Ayhan(83% match)Kaan Ayhan is a Box-to-Box. Engine covering ground in attack and defense. Statistically, he stands out as a reliable supplier (0.16 assists/90), active in the tackle (2.1 tackles/90), wins the physical battle (62% duel success), heavily involved in play (63 touches/90) and uses long balls frequently (6.5/90).
  • Neil El Aynaoui(84% match)El Aynaoui is the kind of midfielder Serie A clubs build defensive structures around without the wider world quite noticing yet. Operating in one of Europe's most tactically demanding leagues, his interception rate places him in the top 5% among midfielders—meaning he's not just pressing hard, he's pressing intelligently, anticipating rather than reacting. That press intensity, also top 10% in the league, compounds the picture: this is a player who suffocates opponents through positional discipline, not raw aggression.

Transfer Intelligence

Salih Özcan delivers 85% of the same playing style, at a 250% premium over Eyüp Aydın, 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 →

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Comparison Base
Eyüp Aydın
MidfielderGermany€1.0M
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
vs Aydın: 7y older
85% match
€3.5M
#2
K
Kaan Ayhan
Galatasaray · Super Lig
Turkey31yContract 2028
KP/900.29
G/900.29
Box-to-Box
Last 5: ↓ Dip
vs Aydın: 10y older
83% match
€3.0M
#3
N
Neil El Aynaoui
Roma · Serie A
France24yContract 2030
KP/900.76
G/900.13
Last 5: → Stable
vs Aydın: €19M more expensive · 3y older
84% match
€20.0M
#4
Y
Yasin Ayari
Brighton & Hove Albion · Premier League
Sweden22yContract 2027
KP/900.75
G/900.14
Box-to-Box
Last 5: ↑ Hot
83% match
€30.0M
#5
A
Abbosbek Fayzullaev
İstanbul Başakşehir · Super Lig
Uzbekistan22y
KP/901.48
G/900.26
Creator
Last 5: ↓ Dip
83% match
€7.5M
#6
F
Florent Hadergjonaj
Alanyaspor · Super Lig
Kosovo31yContract 2027
KP/901.78
G/900.25
CreatorCreative
Last 5: → Stable
83% match
€5.0M
#7
C
Christ Inao Oulaï
Trabzonspor · Super Lig
Ivory Coast20yContract 2030
KP/901.75
G/900.09
Box-to-BoxCreative
Last 5: → Stable
83% match
€8.0M
#8
A
Amine Harit
İstanbul Başakşehir · Super Lig
Morocco28y
KP/902.21
G/900.12
Box-to-BoxCreative
Last 5: ↓ Dip
82% match
€5.0M
#9
M
Maxi Oyedele
Strasbourg · Ligue 1
Poland21yContract 2030
KP/900.22
G/900.22
Ball-WinnerDefensive
Last 5: ↓ Dip
83% match
€4.0M
#10
O
Orkun Kökçü
Beşiktaş · Super Lig
Turkey25yContract 2026
KP/903.19
G/900.30
CreatorCreative
Last 5: → Stable
83% match
€25.0M
#11
M
Mert Kömür
FC Augsburg · Bundesliga
Germany20yContract 2029
KP/901.54
G/900.00
CreatorCreative
83% match
€12.0M
#12
F
Flavien Tait
Rodez · Super Lig
France33y
KP/901.49
G/900.00
Box-to-Box
82% match
€9.0M

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 Eyüp Aydın.

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Frequently Asked Questions

Who are the best alternatives to Eyüp Aydın?
The top alternatives to Eyüp Aydın based on AI DNA playing style analysis include: Salih Özcan, Kaan Ayhan, Neil El Aynaoui, Yasin Ayari, Abbosbek Fayzullaev. 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 Eyüp Aydın in 2026?
Players with a similar profile to Eyüp Aydın in 2026 include Salih Özcan (€3.5M), Kaan Ayhan (€3.0M), Neil El Aynaoui (€20.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Eyüp Aydın play and who plays similarly?
Eyüp Aydın plays as a Midfielder. Players with a comparable positional profile include Salih Özcan (Turkey, €3.5M); Kaan Ayhan (Turkey, €3.0M); Neil El Aynaoui (France, €20.0M); Yasin Ayari (Sweden, €30.0M).
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.