RisingTransfers
AI DNA Similarity

Best Alternatives to Kerem Atakan Kesgin

Players most similar to Kerem Atakan Kesgin (Midfielder, €1.4M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Kerem Atakan Kesgin

  1. 1.Alexandru Maxim86% DNA match·Gaziantep F.K.€3.0M
  2. 2.Mateusz Legowski86% DNA match·Eyüpspor€3.0M
  3. 3.Salih Özcan85% DNA match·Borussia Dortmund€3.5M

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

RT

Intelligence Verdict

AssistsTop 2%
???Bottom 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-BoxCreativeSmall Sample

A Box-to-Box. Statistically, he stands out as an elite creator (2.9 key passes/90), a prolific assist provider (0.32 assists/90), creates high-quality scoring opportunities (2.39 big chances/90), heavily involved in play (61 touches/90), draws fouls effectively (2.9/90), uses long balls frequently (5.1/90) and top 10% creator in the league. However, he loses possession under pressure (1.8 dispossessed/90). The three most similar players to Kerem Atakan Kesgin by playing style are:

  • Alexandru Maxim(86% match)Maxim is the quintessential Super Lig puppet master, a high-volume creator who thrives on the edge of chaos for a Tier C side where he is the undisputed offensive heartbeat. While his team struggles for dominance, Maxim operates in a different stratosphere, ranking in the top 5% of the league for both key passes (3.15/90) and assists, proving he is not just a facilitator but a primary architect. His 7.43 passes into the final third place him in the elite bracket of progressive distributors, yet the counterintuitive reality of his profile lies in his physicality; despite a low volume of aerial duels, his 50% win rate suggests a player with high tactical intelligence in positioning rather than raw power.
  • Mateusz Legowski(86% match)A Ball-Winner.
  • 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.

Transfer Intelligence

Alexandru Maxim delivers 86% of the same playing style, at a 114% premium over Kerem Atakan Kesgin, with 3.31 key passes per 90 at age 35.

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

K
Comparison Base
Kerem Atakan Kesgin
MidfielderTurkey€1.4M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Alexandru Maxim
Gaziantep F.K. · Super Lig
Romania35y
KP/903.31
G/900.17
Box-to-BoxCreative
Last 5: → Stable
vs Kesgin: 10y older
86% match
€3.0M
#2
M
Mateusz Legowski
Eyüpspor · Super Lig
Poland23y
KP/900.85
G/900.06
Ball-Winner
Last 5: ↓ Dip
vs Kesgin: 2y younger
86% match
€3.0M
#3
S
Salih Özcan
Borussia Dortmund · Bundesliga
Turkey28yContract 2026
KP/901.26
G/900.00
MetronomeSmall Sample
vs Kesgin: 3y older
85% match
€3.5M
#4
F
Florent Hadergjonaj
Alanyaspor · Super Lig
Kosovo31yContract 2027
KP/901.78
G/900.25
CreatorCreative
Last 5: → Stable
85% match
€5.0M
#5
D
Diogo Gonçalves
Konyaspor · Super Lig
Portugal29yContract 2026
G/900.81
A/900.00
Left WingCreator
Last 5: → Stable
84% match
€3.0M
#6
E
Enis Bardhi
Konyaspor · Super Lig
Macedonia30yContract 2027
KP/902.44
G/900.22
CreatorCreative
Last 5: → Stable
84% match
€3.0M
#7
M
Mert Kömür
FC Augsburg · Bundesliga
Germany20yContract 2029
KP/901.54
G/900.00
CreatorCreative
85% match
€12.0M
#8
O
Orkun Kökçü
Beşiktaş · Super Lig
Turkey25yContract 2026
KP/903.19
G/900.30
CreatorCreative
Last 5: → Stable
85% match
€25.0M
#9
D
Danel Sinani
St. Pauli · Bundesliga
Luxembourg29y
KP/902.13
G/900.43
CreatorCreative
84% match
€3.0M
#10
L
Lorenzo Bernasconi
Atalanta · Serie A
Italy22yContract 2028
KP/901.25
G/900.00
Creative Playmaker
Last 5: ↑ Hot
84% match
€4.0M
#11
E
Enes Keskin
Alanyaspor · Super Lig
Turkey24yContract 2029
KP/900.52
G/900.00
Ball-WinnerSmall Sample
Last 5: → Stable
83% match
N/A
#12
E
Ernest Muci
Trabzonspor · Super Lig
Albania25yContract 2026
KP/902.41
G/900.58
CreatorCreative
Last 5: → Stable
84% match
€11.0M

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 Kerem Atakan Kesgin.

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Frequently Asked Questions

Who are the best alternatives to Kerem Atakan Kesgin?
The top alternatives to Kerem Atakan Kesgin based on AI DNA playing style analysis include: Alexandru Maxim, Mateusz Legowski, Salih Özcan, Florent Hadergjonaj, Diogo Gonçalves. 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 Kerem Atakan Kesgin in 2026?
Players with a similar profile to Kerem Atakan Kesgin in 2026 include Alexandru Maxim (€3.0M), Mateusz Legowski (€3.0M), 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 Kerem Atakan Kesgin play and who plays similarly?
Kerem Atakan Kesgin plays as a Midfielder. Players with a comparable positional profile include Alexandru Maxim (Romania, €3.0M); Mateusz Legowski (Poland, €3.0M); Salih Özcan (Turkey, €3.5M); Florent Hadergjonaj (Kosovo, €5.0M).
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.