Toma Bašić

29 yrs · Central midfielder (also DM) · Croatia
Società Sportiva Lazio S.p.A. · Serie A · Foot: left · Height: 190 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2029
Market value
€3.0M
Updated 7 days ago
Estimated acquisition
€1.3M – €3.3M
Estimated · 20–80% range
Model value
€1.8M – €7.3M
Performance-implied · estimated
Projected (24m)
€1.0M – €3.8M
Resale range · estimated
Potential value gap
-€1.5M – €6.0M
Model value − acquisition

Value picture

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

Estimated acquisition€1.3M – €3.3M
Model value (performance-implied)€1.8M – €7.3M
Projected value (24 months)€1.0M – €3.8M
Dashed line: current market value (€3.0M). Bars are 20–80% model ranges; tick = median.

The model rates Toma Bašić's performance-implied value at EUR 1.8M-7.3M, above the estimated acquisition range of EUR 1.3M-3.3M. Its 24-month market value projection is EUR 1.0M-3.8M. Context-adjusted goal contributions are 0.99x the positional average in the league (1746 minutes, league coefficient 0.93). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 51

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

PerformanceAbove average68.4th pct among MID peers (age-neutral)
AgeUnfavorable29.6 years
Acquisition costFavorableest. €2.0M vs market €3.0M
Expected appreciationVery low-33% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 0.93
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskModerate
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: €10.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1746 (51% of available)
Goals + assists / 90
0.26
Context-adjusted G+A / 90
0.22
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
68 (Above average)

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
0.93 (rank 4)
Team strength (Elo)
1522
Opponent strength
1515
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
insufficient
Breakout probability
Age > 23
Resale range (24m)
€1.0M – €3.8M

Historical comparables (8): median 2-year value change -41% (IQR -61% to -17%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 1746 league minutes last season.
  • ⚠Projection range wider than for most evaluated players.
  • ⓘ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.
2025/26Società Sportiva Lazio S.p.A.Serie ACM23174651%230.260.22151515220.93
2023/24US Salernitana 1919Serie ACM15116634%000.000.15149112550.98
2022/23Società Sportiva Lazio S.p.A.Serie ACM2549915%100.180.16144215780.94
2021/22Società Sportiva Lazio S.p.A.Serie ACM2996928%020.190.15147815610.89
2021/22FC Girondins BordeauxLigue 1CM32126%010.420.29138513120.86
2020/21FC Girondins BordeauxLigue 1DM34261176%410.170.19144013490.75
2019/20FC Girondins BordeauxLigue 1DM1599339%130.360.25145014360.82
2018/19FC Girondins BordeauxLigue 1CM23133439%200.130.17146114080.82

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Italy CupSocietà Sportiva Lazio S.p.A.216700—
2023/24Italy CupSocietà Sportiva Lazio S.p.A.1900—
2022/23Uefa Europa LeagueSocietà Sportiva Lazio S.p.A.4201001469
2022/23Italy CupSocietà Sportiva Lazio S.p.A.11500—
2021/22Uefa Europa LeagueSocietà Sportiva Lazio S.p.A.7394101445
2021/22Italy CupSocietà Sportiva Lazio S.p.A.15100—
2018/19Uefa Europa League QualifyingHNK Hajduk Split2127021359

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
Kim Källström
Premier Liga · 2013
31€4.0M€2.0Mfell
Joey Barton
Ligue 1 · 2013
31€3.0M€2.5Mflat
Jae-sung Lee
Bundesliga · 2022
30€3.0M€2.5Mflat
Kerem Seras
Super Lig · 2013
29€1.7M€1.2Mfell
Mërgim Vojvoda
Serie A · 2024
29€3.0M€2.5Mflat
Andrea Lazzari
Serie A · 2013
29€3.8M€1.5Mfell
Leonardo Bittencourt
Bundesliga · 2024
31€2.5M€900kfell
Alanzinho
Super Lig · 2013
30€3.0M€1.0Mfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2026LazioVeneziaFree / loan€3.0M
30 Jun 2024SalernitanaLazioFree / loan€2.8M
17 Jan 2024LazioSalernitanaFree / loan€3.5M
25 Aug 2021G. BordeauxLazio€7.1M€9.0M
8 Aug 2018Hajduk SplitG. Bordeaux€3.8M€1.4M
30 Jun 2015NK RudesHajduk SplitFree / loanData unavailable
9 Aug 2014Hajduk U19NK RudesFree / loanData unavailable
8 Aug 2014NK Zagreb U19Hajduk U19UnknownData unavailable
1 Jul 2013NK Zagreb U17NK Zagreb U19UnknownData unavailable
1 Jul 2011NK Zagreb Yth.NK Zagreb U17UnknownData unavailable
24 Aug 2007Dubrava Tk Jgd.NK Zagreb Yth.UnknownData 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.

Toma Bašić · MoneyballAI