AI DNA Similarity
Best Alternatives to Kerem Aktürkoğlu
Players most similar to Kerem Aktürkoğlu (Attacker, €22.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Kerem Aktürkoğlu
- 1.Ahmed Kutucu86% DNA match·Galatasaray€4.0M
- 2.Cengiz Ünder87% DNA match·Beşiktaş€7.0M
- 3.Oğuz Aydın86% DNA match·Fenerbahçe€8.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Key PassesTop 4%
“A Complete Forward....”
See Full Verdict + Share Card →Playing Style Analysis
Complete Forward
A Complete Forward. Statistically, he stands out as an elite creator (2.7 key passes/90), a regular goalscorer (0.29 goals/90), a prolific assist provider (0.34 assists/90) and creates high-quality scoring opportunities (0.53 big chances/90). The three most similar players to Kerem Aktürkoğlu by playing style are:
- Ahmed Kutucu(86% match) — Kutucu is the Turkish Süper Lig’s most efficient offensive enigma, a high-volume shooter who combines the clinical finishing of a veteran poacher with the creative vision of a seasoned playmaker. While playing for a Tier C side, his output is undeniably elite; he ranks in the top 5% of the league for both shots and assists per 90, proving he is as much a facilitator as he is a finisher. The data reveals a fascinating paradox: despite being an "Attacker" by trade, his 85.7% pass accuracy puts him in the top 10% of his peers, suggesting he operates more as a sophisticated offensive hub than a traditional line-leader.
- Cengiz Ünder(87% match) — Ünder remains one of European football's most frustrating nearly-men—a player whose ceiling still feels higher than his CV suggests, yet whose numbers this season demand serious reassessment. Operating in the Super Lig, he's not coasting; his 2.09 key passes per 90 places him in the top 10% of attackers in the league, and his shot volume of 3.45 per 90 sits alongside the division's most dangerous forwards. The counterintuitive detail is his aerial dominance—top 5% in the league for win rate—something nobody associates with a slight, technical winger, yet it quietly makes him a genuine aerial threat in transition.
- Oğuz Aydın(86% match) — A Link-up Striker. Statistically, he stands out as an elite creator (3.1 key passes/90), a reliable supplier (0.16 assists/90) and meticulous in distribution (87% pass accuracy). Note: this profile is based on 551 minutes of playing time this season.
Transfer Intelligence
Ahmed Kutucu delivers 86% of the same playing style, at 82% lower cost (€4.0M vs €22.0M), with 0.49 goals per 90 at age 26. That's 170% of Kerem Aktürkoğlu's output in goals per 90 — a credible like-for-like option.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
A
Ahmed Kutucu
Galatasaray · Super Lig
Turkey26yContract 2028
G/900.49
A/900.37
Inside ForwardProlific
vs Aktürkoğlu: €18M cheaper · +0.20 G/90
86% match
€4.0M
#2
C
Cengiz Ünder
Beşiktaş · Super Lig
Turkey28yContract 2026
G/900.40
A/900.24
Goal ScorerLink-Up Forward
Last 5: ↓ Dipvs Aktürkoğlu: €15M cheaper · +0.11 G/90
87% match
€7.0M
#3
O
Oğuz Aydın
Fenerbahçe · Super Lig
Turkey25yContract 2028
G/900.00
A/900.16
Link-up StrikerSmall Sample
vs Aktürkoğlu: €14M cheaper · 2y younger
86% match
€8.0M
#4
V
Vaclav Cerny
Beşiktaş · Super Lig
Czech Republic28yContract 2028
G/900.18
A/900.37
Inside Forward
Last 5: ↓ Dip86% match
€8.0M
#5
M
Moussa Djenepo
Esteghlal · Super Lig
Mali27y
G/900.09
A/900.00
Complete ForwardDribbler
85% match
€15.7M
#6
İ
İrfan Can Kahveci
Kasımpaşa · Super Lig
Turkey30yContract 2026
G/900.15
A/900.23
85% match
€4.5M
#7
F
Franco Tongya
Gençlerbirliği · Super Lig
Italy24y
G/900.16
A/900.08
85% match
€8.0M
#8
A
Anis Hadj Moussa
Feyenoord · Eredivisie
Algeria24yContract 2030
G/900.33
A/900.22
Inside ForwardDribbler
Last 5: ↓ Dip84% match
€20.0M
#9
L
Leroy Sané
Galatasaray · Super Lig
Germany30yContract 2028
G/900.33
A/900.20
Inside ForwardDribbler
Last 5: → Stable84% match
€23.0M
#10
M
Milot Rashica
Beşiktaş · Super Lig
Kosovo29yContract 2027
G/900.09
A/900.28
Small Sample
Last 5: ↓ Dip83% match
€4.0M
#11
O
Oleksandr Zubkov
Trabzonspor · Super Lig
Ukraine29yContract 2029
G/900.17
A/900.34
Inside Forward
Last 5: ↑ Hot84% match
€7.5M
#12
F
Felipe Augusto
Trabzonspor · Super Lig
Brazil22yContract 2029
G/900.57
A/900.00
PoacherProlific
Last 5: → Stable84% match
€6.0M
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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 Aktürkoğlu.
Ask AI about Kerem Aktürkoğlu →Frequently Asked Questions
Who are the best alternatives to Kerem Aktürkoğlu?▼
The top alternatives to Kerem Aktürkoğlu based on AI DNA playing style analysis include: Ahmed Kutucu, Cengiz Ünder, Oğuz Aydın, Vaclav Cerny, Moussa Djenepo. 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 Aktürkoğlu in 2026?▼
Players with a similar profile to Kerem Aktürkoğlu in 2026 include Ahmed Kutucu (€4.0M), Cengiz Ünder (€7.0M), Oğuz Aydın (€8.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kerem Aktürkoğlu play and who plays similarly?▼
Kerem Aktürkoğlu plays as a Attacker. Players with a comparable positional profile include Ahmed Kutucu (Turkey, €4.0M); Cengiz Ünder (Turkey, €7.0M); Oğuz Aydın (Turkey, €8.0M); Vaclav Cerny (Czech Republic, €8.0M).
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.