RisingTransfers
AI DNA Similarity

Best Alternatives to Dominik Szoboszlai

Players most similar to Dominik Szoboszlai (Midfielder, €100.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Dominik Szoboszlai

  1. 1.Christoph Baumgartner86% DNA match·RB Leipzig€20.0M
  2. 2.Diego Gómez86% DNA match·Brighton & Hove Albion€25.0M
  3. 3.Sandro Tonali86% DNA match·Newcastle United€80.0M

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

RT

Intelligence Verdict

Key PassesTop 7%
???Bottom 20%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreative

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. The three most similar players to Dominik Szoboszlai by playing style are:

  • Christoph Baumgartner(86% 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.
  • Diego Gómez(86% match)A Ball-Winner. Statistically, he stands out as a regular goalscorer (0.22 goals/90), an aggressive ball-winner (3.4 tackles/90), wins the ball cleanly (2.1 successful tackles/90), heavily involved in play (50 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Sandro Tonali(86% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), penetrates with forward passing (9.0 final-third passes/90), central to possession (71 touches/90), uses long balls frequently (5.3/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.

Transfer Intelligence

Christoph Baumgartner delivers 86% of the same playing style, at 80% lower cost (€20.0M vs €100.0M), with 1.38 key passes per 90 at age 26.

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

D
Comparison Base
Dominik Szoboszlai
MidfielderHungary€100.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
C
Christoph Baumgartner
RB Leipzig · Bundesliga
Austria26yContract 2028
KP/901.38
G/900.55
CreatorCreative
Last 5: ↓ Dip
vs Szoboszlai: €80M cheaper
86% match
€20.0M
#2
D
Diego Gómez
Brighton & Hove Albion · Premier League
Paraguay23y
KP/900.92
G/900.22
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Szoboszlai: €75M cheaper · 2y younger
86% match
€25.0M
#3
S
Sandro Tonali
Newcastle United · Premier League
Italy26yContract 2028
KP/901.12
G/900.00
Ball-Winner
Last 5: → Stable
vs Szoboszlai: €20M cheaper
86% match
€80.0M
#4
F
Florian Wirtz
Liverpool · Premier League
Germany23yContract 2030
KP/902.34
G/900.19
CreatorCreative
Last 5: → Stable
86% match
€110.0M
#5
A
Alexis Mac Allister
Liverpool · Premier League
Argentina27yContract 2028
KP/901.12
G/900.07
Balanced Midfielder
Last 5: → Stable
85% match
€85.0M
#6
E
Ezequiel Fernández
Bayer 04 Leverkusen · Bundesliga
Argentina23yContract 2030
KP/901.03
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
86% match
€25.0M
#7
R
Ryan Gravenberch
Liverpool · Premier League
Netherlands23yContract 2028
KP/900.85
G/900.16
Metronome
Last 5: → Stable
85% match
€90.0M
#8
A
Aurélien Tchouaméni
Real Madrid · La Liga
France26yContract 2028
KP/900.70
G/900.06
Metronome
Last 5: ↓ Dip
85% match
€75.0M
#9
T
Tijjani Reijnders
Manchester City · Premier League
Netherlands27yContract 2030
KP/901.04
G/900.29
Last 5: → Stable
85% match
€60.0M
#10
M
Mateo Kovacic 
Manchester City · Premier League
Croatia32yContract 2027
KP/901.25
G/900.25
MetronomeDefensive
Last 5: ↑ Hot
85% match
€15.0M
#11
M
Martín Zubimendi
Arsenal · Premier League
Spain27yContract 2030
KP/900.59
G/900.15
Metronome
Last 5: ↑ Hot
85% match
€80.0M
#12
B
Bruno Fernandes
Manchester United · Premier League
Portugal31yContract 2027
KP/903.89
G/900.25
CreatorCreative
Last 5: → Stable
84% match
€40.0M

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 Dominik Szoboszlai.

Ask AI about Dominik Szoboszlai

Frequently Asked Questions

Who are the best alternatives to Dominik Szoboszlai?
The top alternatives to Dominik Szoboszlai based on AI DNA playing style analysis include: Christoph Baumgartner, Diego Gómez, Sandro Tonali, Florian Wirtz, Alexis Mac Allister. 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 Dominik Szoboszlai in 2026?
Players with a similar profile to Dominik Szoboszlai in 2026 include Christoph Baumgartner (€20.0M), Diego Gómez (€25.0M), Sandro Tonali (€80.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Dominik Szoboszlai play and who plays similarly?
Dominik Szoboszlai plays as a Midfielder. Players with a comparable positional profile include Christoph Baumgartner (Austria, €20.0M); Diego Gómez (Paraguay, €25.0M); Sandro Tonali (Italy, €80.0M); Florian Wirtz (Germany, €110.0M).
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.