AI DNA Similarity
Best Alternatives to Kenan Karaman
Players most similar to Kenan Karaman (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Creator. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a proven goalscorer (0.49 goals/90) and a reliable supplier (0.20 assists/90). The three most similar players to Kenan Karaman by playing style are:
- K. Ingason(100% match) — A Creator. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a proven goalscorer (0.57 goals/90) and a reliable supplier (0.19 assists/90).
- Pavel Sulc(99% match) — A Creator. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a constant goal threat (2.7 shots/90), a proven goalscorer (0.73 goals/90) and a reliable supplier (0.20 assists/90).
- Mart Remans(98% match) — A Creator. Statistically, he stands out as a capable chance creator (1.3 key passes/90) and a regular goalscorer (0.30 goals/90).
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
K
K. Ingason
Sønderjyske Fodbold · Superliga
Iceland24yContract 2027
KP/901.25
G/900.57
Creator
Last 5: → Stable100% match
N/A
#2
P
Pavel Sulc
Olympique Lyonnais · Ligue 1
Czech Republic25yContract 2029
KP/901.00
G/900.73
Creator
Last 5: ↑ Hot99% match
€12.0M
#3
M
Mart Remans
TOP Oss · Eredivisie
Netherlands27yContract 2026
KP/901.13
G/900.30
Creator
Last 5: ↓ Dip98% match
N/A
#4
A
Anton Kade
FC Augsburg · Bundesliga
Germany22yContract 2029
KP/901.49
G/900.24
Creator
Last 5: ↓ Dip98% match
€7.5M
#5
G
Guus Til
PSV · Eredivisie
Netherlands28yContract 2028
KP/901.70
G/900.62
CreatorCreative
98% match
€15.0M
#6
M
Morgan Gibbs-White
Nottingham Forest · Premier League
England26yContract 2027
KP/901.55
G/900.31
Creator
Last 5: → Stable98% match
€65.0M
#7
C
Christoph Baumgartner
RB Leipzig · Bundesliga
Austria26yContract 2028
KP/901.30
G/900.50
Creator
Last 5: ↓ Dip98% match
€20.0M
#8
M
Morgan Rogers
Aston Villa · Premier League
England23yContract 2030
KP/901.24
G/900.26
Creator
Last 5: ↑ Hot98% match
€80.0M
#9
R
Robin van Cruijsen
FC Volendam · Eredivisie
Netherlands20y
KP/902.36
G/900.33
CreatorCreative
Last 5: → Stable98% match
N/A
#10
F
Fabian Rieder
FC Augsburg · Bundesliga
Switzerland24yContract 2030
KP/901.49
G/900.21
Creator
Last 5: ↑ Hot98% match
€8.0M
#11
A
Antoni Milambo
Brentford · Premier League
Netherlands20yContract 2030
KP/901.22
G/900.14
Creator
98% match
€20.0M
#12
J
Jorn Triep
VVV-Venlo · Eredivisie
Netherlands20yContract 2026
KP/901.09
G/900.21
Creator
Last 5: ↑ Hot98% match
N/A
⬡
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 Kenan Karaman.
Ask AI about Kenan Karaman →Frequently Asked Questions
Who are the best alternatives to Kenan Karaman?▼
The top alternatives to Kenan Karaman based on AI DNA playing style analysis include: K. Ingason, Pavel Sulc, Mart Remans, Anton Kade, Guus Til. 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 Kenan Karaman in 2026?▼
Players with a similar profile to Kenan Karaman in 2026 include K. Ingason (N/A), Pavel Sulc (€12.0M), Mart Remans (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kenan Karaman play and who plays similarly?▼
Kenan Karaman plays as a Midfielder. Players with a comparable positional profile include K. Ingason (Iceland, N/A); Pavel Sulc (Czech Republic, €12.0M); Mart Remans (Netherlands, N/A); Anton Kade (Germany, €7.5M).
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.