RisingTransfers
AI DNA Similarity

Best Alternatives to Filip Rózga

Players most similar to Filip Rózga (Midfielder, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Filip Rózga

  1. 1.Aimar Oroz83% DNA match·Osasuna€9.0M
  2. 2.Christoph Baumgartner82% DNA match·RB Leipzig€20.0M
  3. 3.Dominik Szoboszlai82% DNA match·Liverpool€100.0M

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

RT

Intelligence Verdict

AssistsTop 10%
???Bottom 10%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as a capable chance creator (1.3 key passes/90), a regular goalscorer (0.22 goals/90), a dynamic dribbler (3.1/90), an aggressive ball-winner (2.8 tackles/90), heavily involved in play (57 touches/90), draws fouls effectively (3.1/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. However, he loses possession under pressure (2.4 dispossessed/90). The three most similar players to Filip Rózga by playing style are:

  • Aimar Oroz(83% match)A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90), heavily involved in play (56 touches/90), draws fouls effectively (3.3/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. However, he loses possession under pressure (2.4 dispossessed/90).
  • Christoph Baumgartner(82% match)A Creator. Statistically, he stands out as an elite creator (1.5 key passes/90), a constant goal threat (2.7 shots/90), a proven goalscorer (0.57 goals/90), a reliable supplier (0.19 assists/90) and active in the tackle (2.1 tackles/90). Note: this profile is based on 474 minutes of playing time this season.
  • Dominik Szoboszlai(82% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a reliable supplier (0.15 assists/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (62 passes/90), penetrates with forward passing (8.4 final-third passes/90), central to possession (84 touches/90), switches play with precision (5.9 long balls/90, 64% accuracy), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league.

Transfer Intelligence

Aimar Oroz delivers 83% of the same playing style, at a 350% premium over Filip Rózga, with 1.37 key passes per 90 at age 24.

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

F
Comparison Base
Filip Rózga
MidfielderPoland€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Aimar Oroz
Osasuna · La Liga
Spain24yContract 2029
KP/901.37
G/900.00
Creator
Last 5: ↑ Hot
vs Rózga: €7M more expensive · 5y older
83% match
€9.0M
#2
C
Christoph Baumgartner
RB Leipzig · Bundesliga
Austria26yContract 2028
KP/901.38
G/900.55
CreatorCreative
Last 5: ↓ Dip
vs Rózga: €18M more expensive · 7y older
82% match
€20.0M
#3
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable
vs Rózga: €98M more expensive · 6y older
82% match
€100.0M
#4
D
Danel Sinani
St. Pauli · Bundesliga
Luxembourg29y
KP/902.13
G/900.43
CreatorCreative
82% match
€3.0M
#5
R
Romano Schmid
Werder Bremen · Bundesliga
Austria26yContract 2025
KP/902.69
G/900.08
CreatorCreative
81% match
€17.0M
#6
N
Niklas Hauptmann
Dynamo Dresden · Bundesliga
Germany29yContract 2028
KP/900.70
G/900.10
Balanced Midfielder
Last 5: ↑ Hot
82% match
€3.4M
#7
M
Mikael Egill Ellertsson
Genoa · Serie A
Iceland24yContract 2029
KP/900.40
G/900.00
Balanced Midfielder
Last 5: ↓ Dip
81% match
€3.5M
#8
L
Lennart Karl
FC Bayern München · Bundesliga
Germany18yContract 2026
KP/901.73
G/900.77
CreatorCreative
Last 5: ↑ Hot
82% match
€60.0M
#9
P
Pascal Groß
Brighton & Hove Albion · Bundesliga
Germany34yContract 2027
KP/902.16
G/900.06
MetronomeCreative
Last 5: → Stable
82% match
€3.5M
#10
F
Fabian Rieder
FC Augsburg · Bundesliga
Switzerland24yContract 2030
KP/901.14
G/900.13
CreatorSmall Sample
Last 5: → Stable
81% match
€8.0M
#11
G
Grischa Prömel
TSG Hoffenheim · Bundesliga
Germany31yContract 2026
KP/900.51
G/900.51
Box-to-Box
81% match
€3.0M
#12
A
Atakan Karazor
VfB Stuttgart · Bundesliga
Germany29yContract 2028
KP/901.13
G/900.00
Box-to-Box
Last 5: → Stable
81% match
€9.0M

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 Filip Rózga.

Ask AI about Filip Rózga

Frequently Asked Questions

Who are the best alternatives to Filip Rózga?
The top alternatives to Filip Rózga based on AI DNA playing style analysis include: Aimar Oroz, Christoph Baumgartner, Dominik Szoboszlai, Danel Sinani, Romano Schmid. 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 Filip Rózga in 2026?
Players with a similar profile to Filip Rózga in 2026 include Aimar Oroz (€9.0M), Christoph Baumgartner (€20.0M), Dominik Szoboszlai (€100.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Filip Rózga play and who plays similarly?
Filip Rózga plays as a Midfielder. Players with a comparable positional profile include Aimar Oroz (Spain, €9.0M); Christoph Baumgartner (Austria, €20.0M); Dominik Szoboszlai (Hungary, €100.0M); Danel Sinani (Luxembourg, €3.0M).
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.