Dominik Szoboszlai

25 yrs · Attacking midfielder (also CM, RW) · Hungary
Liverpool FC · Premier League · Foot: right · Height: 187 cm
Risk: LowConfidence: MediumSample: HighDevelopment: ModerateContract: until 30 Jun 2028
Market value
€100M
Updated 6 days ago
Estimated acquisition
€54.9M – €130M
Estimated · 20–80% range
Model value
€60.7M – €85.6M
Performance-implied · estimated
Projected (24m)
€55.4M – €98.3M
Resale range · estimated
Potential value gap
-€69.1M – €30.7M
Model value − acquisition

Value picture

Where the market, the likely price and the model estimates sit.

Estimated acquisition€54.9M – €130M
Model value (performance-implied)€60.7M – €85.6M
Projected value (24 months)€55.4M – €98.3M
Dashed line: current market value (€100M). Bars are 20–80% model ranges; tick = median.

The model rates Dominik Szoboszlai's performance-implied value at EUR 60.7M-85.6M, below the estimated acquisition range of EUR 54.9M-129.9M. Its 24-month market value projection is EUR 55.4M-98.3M. Context-adjusted goal contributions are 0.73x the positional average in the league (3233 minutes, league coefficient 1.30). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 13

What drives the score. Not a black box: each component and its level.

PerformanceElite98.3th pct among MID peers (age-neutral)
AgeNeutral25.7 years
Acquisition costNeutralest. €98.7M vs market €100M
Expected appreciationVery low-31% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentModerate
League translationBig-five leagueleague coefficient 1.3
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskLow
Data confidenceMedium

Bargain Index = percentile (among all evaluated players) of expected 2-year value relative to estimated cost. See methodology and backtests.

Market value history

Market value ≠ transfer fee ≠ acquisition cost.

Highest recorded: €100M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
3233 (95% of available)
Goals + assists / 90
0.36
Context-adjusted G+A / 90
0.29
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
98 (Elite)

Adjusted = shrunk toward positional baseline for small samples, corrected for team dominance over opponents, expressed relative to positional peers in the same league.

Context

League strength
1.30 (rank 1)
Team strength (Elo)
1682
Opponent strength
1595
Possession, role
Data unavailable

League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.

Potential

Development
Moderate
Trajectory
improving
Breakout probability
Age > 23
Resale range (24m)
€55.4M – €98.3M

Trajectory drivers: minutes share up 22 pts; team strength down (-117 Elo).

Historical comparables (8): median 2-year value change -31% (IQR -46% to -17%).

Risk profile

Overall: Low

  • ⓘInjury history unavailable from current data source.

League translation

What happened to players who moved from this league to the big-five leagues (observed, not a forecast).

Already playing in a big-five league.

Output is relative to positional peers in each league. Movers are a selected group (clubs buy players who fit), so treat this as context, not a guarantee.

Season-by-season (domestic league)

Context-adjusted values are model outputs.

SeasonClubLeaguePosAppsMinMin shareGAG+A/90Adj. G+A/90Opp. EloTeam EloLeague str.
2025/26Liverpool FCPremier LeagueAM36323395%670.360.29159516821.30
2024/25Liverpool FCPremier LeagueAM36249773%670.470.24155018001.23
2023/24Liverpool FCPremier LeagueCM33211162%320.210.12156917551.14
2022/23RB LeipzigBundesligaRW31245380%680.510.33153216851.04
2021/22RB LeipzigBundesligaAM31153750%680.820.51154416631.05

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Champions LeagueLiverpool FC121053541656
2025/26Fa CupLiverpool FC436020—
2025/26Community ShieldLiverpool FC190011620
2024/25Uefa Champions LeagueLiverpool FC9637111672
2024/25Fa CupLiverpool FC14501—
2023/24Uefa Europa LeagueLiverpool FC7325211559
2023/24Fa CupLiverpool FC210701—
2022/23Uefa Champions LeagueRB Leipzig8657121724
2022/23Dfb PokalRB Leipzig651032—
2022/23Franz Beckenbauer SupercupRB Leipzig190011847
2021/22Dfb PokalRB Leipzig522720—
2021/22Uefa Champions LeagueRB Leipzig4209201757
2021/22Uefa Europa LeagueRB Leipzig5154011624
2020/21Uefa Champions LeagueFußballclub Red Bull Salzburg6507201716
2020/21Uefa Champions League QualifyingFußballclub Red Bull Salzburg2177201446

Small continental samples are shown for context only and are not over-weighted.

Historical comparables

Most similar profiles 2+ years ago (same position group) and what happened next. Chosen by similarity only — failures included.

Player (then)AgeValue then~2y laterOutcome
Saúl Ñíguez
Laliga · 2020
26€72.0M€25.0Mfell
N'Golo Kanté
Premier League · 2019
28€100M€55.0Mfell
Joelinton
Premier League · 2023
27€42.0M€35.0Mflat
Mason Mount
Premier League · 2021
22€75.0M€60.0Mfell
Marcos Alonso
Premier League · 2018
28€40.0M€20.0Mfell
Declan Rice
Premier League · 2022
23€80.0M€120Mrose
Martin Ødegaard
Premier League · 2024
26€110M€65.0Mfell
Bruno Fernandes
Premier League · 2022
28€85.0M€70.0Mflat

Transfer history

Fees as reported by the source; undisclosed fees shown as unknown, never estimated.

DateFromToFeeMV at time
2 Jul 2023LeipzigLiverpool€70.0M€50.0M
1 Jan 2021SalzburgLeipzig€36.0M€25.0M
16 Jan 2018FC LieferingSalzburgUnknown€500k
1 Jul 2017AKA Salzb. U18FC LieferingUnknownData unavailable
29 Mar 2017Főnix U19AKA Salzb. U18€500kData unavailable
29 Jul 2016MTK U17Főnix U19Free / loanData unavailable
31 Aug 2015Főnix JgdMTK U17Free / loanData unavailable
30 Nov 2007Videoton Jgd.Főnix JgdFree / loanData unavailable

MoneyballAI identifies statistical opportunities from available data. A player flagged as a potential bargain is not guaranteed to succeed, to transfer, to rise in value, or to generate resale profit. Market values, fees and contracts come from third-party sources; ranges are model estimates with stated confidence.