AI DNA Similarity
Best Alternatives to Robin Hranac
Players most similar to Robin Hranac (Defender, €7.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Robin Hranac
- 1.Andreas Hanche-Olsen87% DNA match·FSV Mainz 05€5.0M
- 2.Luka Vuskovic86% DNA match·Hamburger SV€40.0M
- 3.Danilho Doekhi85% DNA match·FC Union Berlin€13.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Aerials WonTop 7%
???Bottom 11%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBAerialSmall Sample
A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.4 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (62% duel success), dominant in the air (3.2 aerials won/90, 70%) and uses long balls frequently (5.4/90). Note: this profile is based on 450 minutes of playing time this season. The three most similar players to Robin Hranac by playing style are:
- Andreas Hanche-Olsen(87% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (8.8 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (61% duel success), dominant in the air (5.5 aerials won/90, 66%) and uses long balls frequently (6.2/90). Note: this profile is based on 849 minutes of playing time this season.
- Luka Vuskovic(86% match) — 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.
- Danilho Doekhi(85% 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.
Transfer Intelligence
Andreas Hanche-Olsen delivers 87% of the same playing style, at 29% lower cost (€5.0M vs €7.0M), with 1.05 tackles won per 90 at age 29.
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
Andreas Hanche-Olsen
FSV Mainz 05 · Bundesliga
Norway29yContract 2028
Tkl/901.05
KP/900.21
Ball-Playing CBAerial
vs Hranac: 3y older
87% match
€5.0M
#2
L
Luka Vuskovic
Hamburger SV · Bundesliga
Croatia19yContract 2026
Tkl/900.86
KP/900.74
Ball-Playing CBBall-Playing
Last 5: ↑ Hotvs Hranac: €33M more expensive · 7y younger
86% match
€40.0M
#3
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
vs Hranac: €6M more expensive
85% match
€13.0M
#4
K
Kilian Fischer
VfL Wolfsburg · Bundesliga
Germany25yContract 2027
Tkl/901.95
KP/900.49
Active Full-BackSmall Sample
86% match
€7.5M
#5
L
Lukas Ullrich
Borussia Mönchengladbach · Bundesliga
Germany22yContract 2027
Tkl/901.33
KP/900.53
Active Full-Back
85% match
€7.0M
#6
N
Nico Elvedi
Borussia Mönchengladbach · Bundesliga
Switzerland29yContract 2027
Tkl/901.70
KP/900.20
Ball-Playing CBAerial
85% match
€4.0M
#7
S
Stefan Posch
FSV Mainz 05 · Bundesliga
Austria28yContract 2026
Tkl/901.50
KP/900.25
Physical StopperAerial
Last 5: → Stable86% match
€5.5M
#8
L
Leopold Querfeld
FC Union Berlin · Bundesliga
Austria22y
Tkl/901.00
KP/900.20
Physical StopperAerial
85% match
€18.0M
#9
D
Dávid Hancko
Atlético Madrid · La Liga
Slovakia28yContract 2030
Tkl/902.05
KP/900.61
Ball-Playing CB
Last 5: ↓ Dip85% match
€35.0M
#10
R
Ramon Hendriks
VfB Stuttgart · Bundesliga
Netherlands24yContract 2028
Tkl/901.63
KP/900.55
Ball-Playing CBBall-Playing
Last 5: → Stable85% match
€5.0M
#11
M
Matthias Ginter
SC Freiburg · Bundesliga
Germany32yContract 2027
Tkl/901.14
KP/900.43
Ball-Playing CBAerial
Last 5: ↓ Dip85% match
€6.0M
#12
J
Jordan Torunarigha
Hamburger SV · Bundesliga
Nigeria28yContract 2028
Tkl/901.86
KP/900.23
Ball-Playing CBAerial
85% match
€4.0M
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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 Robin Hranac.
Ask AI about Robin Hranac →Frequently Asked Questions
Who are the best alternatives to Robin Hranac?▼
The top alternatives to Robin Hranac based on AI DNA playing style analysis include: Andreas Hanche-Olsen, Luka Vuskovic, Danilho Doekhi, Kilian Fischer, Lukas Ullrich. 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 Robin Hranac in 2026?▼
Players with a similar profile to Robin Hranac in 2026 include Andreas Hanche-Olsen (€5.0M), Luka Vuskovic (€40.0M), Danilho Doekhi (€13.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Robin Hranac play and who plays similarly?▼
Robin Hranac plays as a Defender. Players with a comparable positional profile include Andreas Hanche-Olsen (Norway, €5.0M); Luka Vuskovic (Croatia, €40.0M); Danilho Doekhi (Netherlands, €13.0M); Kilian Fischer (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.