RisingTransfers
AI DNA Similarity

Best Alternatives to Luka Vuskovic

Players most similar to Luka Vuskovic (Defender, €40.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Luka Vuskovic

  1. 1.Kilian Fischer87% DNA match·VfL Wolfsburg€7.5M
  2. 2.Danilho Doekhi87% DNA match·FC Union Berlin€13.0M
  3. 3.Nico Schlotterbeck87% DNA match·Borussia Dortmund€55.0M

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

RT

Intelligence Verdict

GoalsTop 1%
???Bottom 13%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerialSmall Sample

A Ball-Playing CB. Statistically, he stands out as a regular goalscorer (0.29 goals/90), commanding in the air (8.9 clearances/90), wins the physical battle (67% duel success), heavily involved in possession (70 passes/90), penetrates with forward passing (8.4 final-third passes/90), central to possession (90 touches/90), dominant in the air (6.1 aerials won/90, 75%), uses long balls frequently (9.3/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. Note: this profile is based on 630 minutes of playing time this season. The three most similar players to Luka Vuskovic by playing style are:

  • Kilian Fischer(87% match)A Active Full-Back. Statistically, he stands out as comfortable with both feet and active in the tackle (1.9 tackles/90). Note: this profile is based on 730 minutes of playing time this season.
  • Danilho Doekhi(87% match)A Physical Stopper. Statistically, he stands out as a regular goalscorer (0.33 goals/90), commanding in the air (5.3 clearances/90), wins the physical battle (62% duel success), dominant in the air (4.8 aerials won/90, 63%) and uses long balls frequently (7.5/90). Note: this profile is based on 540 minutes of playing time this season.
  • Nico Schlotterbeck(87% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (2.0 tackles/90), commanding in the air (4.2 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (66% duel success), heavily involved in possession (75 passes/90), penetrates with forward passing (13.6 final-third passes/90), central to possession (97 touches/90), uses long balls frequently (12.2/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 720 minutes of playing time this season.

Transfer Intelligence

Kilian Fischer delivers 87% of the same playing style, at 81% lower cost (€7.5M vs €40.0M), with 1.95 tackles won per 90 at age 25.

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

L
Comparison Base
Luka Vuskovic
DefenderCroatia€40.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
K
Kilian Fischer
VfL Wolfsburg · Bundesliga
Germany25yContract 2027
Tkl/901.95
KP/900.49
Active Full-BackSmall Sample
vs Vuskovic: €33M cheaper · 6y older
87% match
€7.5M
#2
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
vs Vuskovic: €27M cheaper · 8y older
87% match
€13.0M
#3
N
Nico Schlotterbeck
Borussia Dortmund · Bundesliga
Germany26yContract 2027
Tkl/902.00
KP/900.89
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Vuskovic: €15M more expensive · 7y older
87% match
€55.0M
#4
J
Jeff Chabot
VfB Stuttgart · Bundesliga
Germany28yContract 2028
Tkl/901.73
KP/900.27
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
86% match
€15.0M
#5
D
Denis Vavro
VfL Wolfsburg · Bundesliga
Slovakia30yContract 2027
Tkl/900.73
KP/900.00
Physical StopperAerial
86% match
€7.0M
#6
R
Robin Hranac
TSG Hoffenheim · Bundesliga
Czech Republic26yContract 2028
Tkl/901.34
KP/900.19
Ball-Playing CBAerial
86% match
€7.0M
#7
K
Keita Kosugi
Eintracht Frankfurt · Bundesliga
Japan20yContract 2031
Tkl/902.46
KP/901.88
Active Full-Back
85% match
€6.0M
#8
T
Tobias Müller
Magdeburg · Bundesliga
Germany31y
Tkl/901.65
KP/900.35
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€5.0M
#9
L
Lukas Ullrich
Borussia Mönchengladbach · Bundesliga
Germany22yContract 2027
Tkl/901.33
KP/900.53
Active Full-Back
85% match
€7.0M
#10
A
Anel Ahmedhodzic
Feyenoord · Eredivisie
Bosnia and Herzegovina27yContract 2029
Tkl/901.10
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€12.0M
#11
S
Stefan Posch
FSV Mainz 05 · Bundesliga
Austria28yContract 2026
Tkl/901.50
KP/900.25
Physical StopperAerial
Last 5: → Stable
85% match
€5.5M
#12
L
Loïc Badé
Bayer 04 Leverkusen · Bundesliga
France26yContract 2030
Tkl/902.37
KP/900.59
Ball-Playing CBBall-Playing
85% match
€25.0M

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 Luka Vuskovic.

Ask AI about Luka Vuskovic

Frequently Asked Questions

Who are the best alternatives to Luka Vuskovic?
The top alternatives to Luka Vuskovic based on AI DNA playing style analysis include: Kilian Fischer, Danilho Doekhi, Nico Schlotterbeck, Jeff Chabot, Denis Vavro. 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 Luka Vuskovic in 2026?
Players with a similar profile to Luka Vuskovic in 2026 include Kilian Fischer (€7.5M), Danilho Doekhi (€13.0M), Nico Schlotterbeck (€55.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Luka Vuskovic play and who plays similarly?
Luka Vuskovic plays as a Defender. Players with a comparable positional profile include Kilian Fischer (Germany, €7.5M); Danilho Doekhi (Netherlands, €13.0M); Nico Schlotterbeck (Germany, €55.0M); Jeff Chabot (Germany, €15.0M).
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.