AI DNA Similarity
Best Alternatives to Denis Vavro
Players most similar to Denis Vavro (Defender, €7.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Denis Vavro
- 1.Luka Vuskovic86% DNA match·Hamburger SV€40.0M
- 2.Maik Nawrocki86% DNA match·Hannover 96€5.0M
- 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 8%
???Bottom 0%
“A Physical Stopper....”
See Full Verdict + Share Card →Playing Style Analysis
Physical StopperAerialSmall Sample
A Physical Stopper. Statistically, he stands out as commanding in the air (11.2 clearances/90), wins the physical battle (58% duel success) and uses long balls frequently (5.4/90). Note: this profile is based on 738 minutes of playing time this season. The three most similar players to Denis Vavro by playing style are:
- 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.
- Maik Nawrocki(86% match) — A Ball-Playing CB. Statistically, he stands out as a regular goalscorer (0.23 goals/90), a reliable supplier (0.23 assists/90), commanding in the air (6.4 clearances/90), reads the game exceptionally (2.7 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (67 passes/90), central to possession (86 touches/90), strong in aerial duels (3.8 aerials won/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.
- 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
Luka Vuskovic delivers 86% of the same playing style, at a 471% premium over Denis Vavro, with 0.86 tackles won per 90 at age 19.
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
L
Luka Vuskovic
Hamburger SV · Bundesliga
Croatia19yContract 2026
Tkl/900.86
KP/900.74
Ball-Playing CBBall-Playing
Last 5: ↑ Hotvs Vavro: €33M more expensive · 11y younger
86% match
€40.0M
#2
M
Maik Nawrocki
Hannover 96 · Bundesliga
Poland25yContract 2026
Tkl/901.41
KP/901.21
Ball-Playing CBBall-Playing
Last 5: ↓ Dipvs Vavro: 5y younger
86% match
€5.0M
#3
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
vs Vavro: €6M more expensive · 3y younger
85% match
€13.0M
#4
T
Tomas Kalas
Schalke 04 · Bundesliga
Czech Republic32yContract 2027
Tkl/900.98
KP/900.42
Ball-Playing CBAerial
85% match
€9.0M
#5
T
Tobias Müller
Magdeburg · Bundesliga
Germany31y
Tkl/901.65
KP/900.35
Ball-Playing CBBall-Playing
Last 5: → Stable85% match
€5.0M
#6
J
Jeff Chabot
VfB Stuttgart · Bundesliga
Germany28yContract 2028
Tkl/901.73
KP/900.27
Ball-Playing CBBall-Playing
Last 5: ↓ Dip85% match
€15.0M
#7
N
Nico Schlotterbeck
Borussia Dortmund · Bundesliga
Germany26yContract 2027
Tkl/902.00
KP/900.89
Ball-Playing CBBall-Playing
Last 5: → Stable85% match
€55.0M
#8
O
Ozan Kabak
TSG Hoffenheim · Bundesliga
Turkey26yContract 2026
Tkl/900.98
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↓ Dip84% match
€5.0M
#9
J
Jordy Makengo
SC Freiburg · Bundesliga
France24y
Tkl/901.50
KP/900.30
Aerial
Last 5: → Stable84% match
€6.0M
#10
K
Koki Machida
TSG Hoffenheim · Bundesliga
Japan28y
Tkl/902.62
KP/901.66
Ball-Playing CBSmall Sample
84% match
€7.0M
#11
E
Edmond Tapsoba
Bayer 04 Leverkusen · Bundesliga
Burkina Faso27yContract 2028
Tkl/901.22
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable84% match
€35.0M
#12
A
Arthur Theate
Eintracht Frankfurt · Bundesliga
Belgium25yContract 2029
Tkl/902.42
KP/900.70
Ball-Playing CBBall-Playing
83% match
€20.0M
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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 Denis Vavro.
Ask AI about Denis Vavro →Frequently Asked Questions
Who are the best alternatives to Denis Vavro?▼
The top alternatives to Denis Vavro based on AI DNA playing style analysis include: Luka Vuskovic, Maik Nawrocki, Danilho Doekhi, Tomas Kalas, Tobias Müller. 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 Denis Vavro in 2026?▼
Players with a similar profile to Denis Vavro in 2026 include Luka Vuskovic (€40.0M), Maik Nawrocki (€5.0M), 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 Denis Vavro play and who plays similarly?▼
Denis Vavro plays as a Defender. Players with a comparable positional profile include Luka Vuskovic (Croatia, €40.0M); Maik Nawrocki (Poland, €5.0M); Danilho Doekhi (Netherlands, €13.0M); Tomas Kalas (Czech Republic, €9.0M).
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.