RisingTransfers
AI DNA Similarity

Best Alternatives to Emirhan İlkhan

Players most similar to Emirhan İlkhan (Midfielder, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Emirhan İlkhan

  1. 1.Ivan Ilić86% DNA match·Torino€10.0M
  2. 2.Jurgen Ekkelenkamp86% DNA match·Udinese€7.0M
  3. 3.Salih Özcan84% DNA match·Borussia Dortmund€3.5M

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

RT

Intelligence Verdict

Press IntensityTop 5%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a reliable supplier (0.17 assists/90), an aggressive ball-winner (3.2 tackles/90), wins the physical battle (58% duel success), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (61 touches/90), draws fouls effectively (2.0/90), switches play with precision (6.9 long balls/90, 73% accuracy), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 537 minutes of playing time this season. The three most similar players to Emirhan İlkhan by playing style are:

  • Ivan Ilić(86% match)Ilić is the kind of midfielder who makes the game look slower than it is—not because he's languid, but because he's almost always in the right place before the problem arrives. His interceptions and key passes both sit in the top 20% of Serie A midfielders, a rare pairing that signals genuine two-way intelligence rather than a specialist's one-trick value. Here's the counterintuitive part: his duel win rate sits in the bottom 10%, which looks damning until you realize that a midfielder winning this many interceptions rarely needs to win duels—he's already cut the pass off.
  • Jurgen Ekkelenkamp(86% match)A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90) and active in the tackle (2.1 tackles/90).
  • Salih Özcan(84% 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.

Transfer Intelligence

Ivan Ilić delivers 86% of the same playing style, at a 567% premium over Emirhan İlkhan, with 1.73 key passes per 90 at age 25.

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

E
Comparison Base
Emirhan İlkhan
MidfielderTurkey€1.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
I
Ivan Ilić
Torino · Serie A
Serbia25yContract 2027
KP/901.73
G/900.00
Creative Playmaker
vs İlkhan: €9M more expensive · 4y older
86% match
€10.0M
#2
J
Jurgen Ekkelenkamp
Udinese · Serie A
Netherlands26yContract 2029
KP/901.41
G/900.19
Creator
Last 5: → Stable
vs İlkhan: €6M more expensive · 5y older
86% match
€7.0M
#3
S
Salih Özcan
Borussia Dortmund · Bundesliga
Turkey28yContract 2026
KP/901.26
G/900.00
MetronomeSmall Sample
vs İlkhan: 7y older
84% match
€3.5M
#4
W
Weston McKennie
Juventus · Serie A
United States27yContract 2026
KP/901.59
G/900.28
Creator
Last 5: → Stable
83% match
€22.0M
#5
H
Hakan Çalhanoğlu
Inter · Serie A
Turkey32yContract 2027
KP/902.94
G/900.24
MetronomeCreative
84% match
€18.0M
#6
K
Khéphren Thuram
Juventus · Serie A
France25yContract 2029
KP/901.22
G/900.00
Chance Creator
84% match
€40.0M
#7
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
83% match
€25.0M
#8
L
Lucas Torreira
Galatasaray · Super Lig
Uruguay30yContract 2028
KP/900.97
G/900.12
Metronome
Last 5: ↓ Dip
83% match
€12.0M
#9
K
Karol Linetty
Kocaelispor · Super Lig
Poland31y
KP/901.71
G/900.00
CreatorCreative
Last 5: → Stable
83% match
€7.5M
#10
M
Mandela Keita
Parma · Serie A
Belgium24yContract 2029
KP/900.34
G/900.07
Ball-WinnerDefensive
83% match
€12.0M
#11
İ
İsak Vural
Pisa · Serie A
Sweden19yContract 2028
KP/900.23
G/900.00
Ball-WinnerSmall Sample
84% match
€4.5M
#12
K
Kristjan Asllani
Beşiktaş · Serie A
Albania24yContract 2026
KP/900.99
G/900.22
Ball-WinnerSmall Sample
Last 5: → Stable
84% match
€13.0M

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 Emirhan İlkhan.

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Frequently Asked Questions

Who are the best alternatives to Emirhan İlkhan?
The top alternatives to Emirhan İlkhan based on AI DNA playing style analysis include: Ivan Ilić, Jurgen Ekkelenkamp, Salih Özcan, Weston McKennie, Hakan Çalhanoğlu. 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 Emirhan İlkhan in 2026?
Players with a similar profile to Emirhan İlkhan in 2026 include Ivan Ilić (€10.0M), Jurgen Ekkelenkamp (€7.0M), Salih Özcan (€3.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Emirhan İlkhan play and who plays similarly?
Emirhan İlkhan plays as a Midfielder. Players with a comparable positional profile include Ivan Ilić (Serbia, €10.0M); Jurgen Ekkelenkamp (Netherlands, €7.0M); Salih Özcan (Turkey, €3.5M); Weston McKennie (United States, €22.0M).
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.