Santiago Gimenez

25 yrs · Striker · Mexico
AC Milan · Serie A · Foot: left · Height: 180 cm
Risk: HighConfidence: LowSample: LowDevelopment: ModerateContract: until 30 Jun 2029
Market value
€18.0M
Updated 7 days ago
Estimated acquisition
€13.3M – €23.7M
Estimated · 20–80% range
Model value
€6.1M – €12.8M
Performance-implied · estimated
Projected (24m)
€7.6M – €22.0M
Resale range · estimated
Potential value gap
-€17.6M – -€434k
Model value − acquisition

Value picture

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

Estimated acquisition€13.3M – €23.7M
Model value (performance-implied)€6.1M – €12.8M
Projected value (24 months)€7.6M – €22.0M
Dashed line: current market value (€18.0M). Bars are 20–80% model ranges; tick = median.

The model rates Santiago Gimenez's performance-implied value at EUR 6.1M-12.8M, below the estimated acquisition range of EUR 13.3M-23.7M. Its 24-month market value projection is EUR 7.6M-22.0M. Context-adjusted goal contributions are 0.55x the positional average in the league (896 minutes, league coefficient 0.93). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: not assigned

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

Insufficient sample (< 900 league minutes)

PerformanceAbove average63th pct among ATT peers (age-neutral)
AgeNeutral25.2 years
Acquisition costNeutralest. €17.6M vs market €18.0M
Expected appreciationVery low-30% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentModerate
League translationBig-five leagueleague coefficient 0.93
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
Data confidenceLow

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: €50.0M

Profile vs positional peers

Percentiles among 901 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
896 (26% of available)
Goals + assists / 90
0.20
Context-adjusted G+A / 90
0.28
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
63 (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)
1570
Opponent strength
1479
Possession, role
Data unavailable

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

Potential

Development
Moderate
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€7.6M – €22.0M

Trajectory drivers: minutes share down 16 pts; changed club; league level up (+78 Elo); relative output down 37% vs positional peers.

Historical comparables (8): median 2-year value change +2% (IQR -38% to +45%).

Risk profile

Overall: High

  • ▲Small sample: 896 league minutes last season.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⚠Declining trajectory versus previous season.
  • ⓘ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.
2025/26AC MilanSerie AST1689626%020.200.28147915700.93
2024/25Feyenoord RotterdamEredivisieST1177025%710.940.39126415650.50
2024/25AC MilanSerie AST1467020%520.940.55148816250.99
2023/24Feyenoord RotterdamEredivisieST30238478%2361.090.49134915930.48
2022/23Feyenoord RotterdamEredivisieST32192663%1530.840.43134916390.58

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Italy CupAC Milan214111—
2025/26World CupMexico23700—
2024/25Uefa Champions LeagueFeyenoord Rotterdam5295511697
2024/25Uefa Champions LeagueAC Milan2153101572
2024/25Knvb BekerFeyenoord Rotterdam28020—
2024/25Italy CupAC Milan37301—
2024/25Johan Cruijff SchaalFeyenoord Rotterdam169211659
2023/24Uefa Champions LeagueFeyenoord Rotterdam4349211600
2023/24Knvb BekerFeyenoord Rotterdam430401—
2023/24Uefa Europa LeagueFeyenoord Rotterdam2105101585
2023/24Johan Cruijff SchaalFeyenoord Rotterdam162001649
2022/23Uefa Europa LeagueFeyenoord Rotterdam9433501536
2022/23Knvb BekerFeyenoord Rotterdam426030—

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
Cengiz Ünder
Serie A · 2020
23€24.0M€22.0Mflat
Sofiane Diop
Ligue 1 · 2024
24€12.0M€15.0Mrose
Anthony Martial
Laliga · 2022
27€16.0M€10.0Mfell
Abde Ezzalzouli
Laliga · 2024
23€9.0M€40.0Mrose
Moise Kean
Serie A · 2024
24€14.0M€32.0Mrose
Riccardo Sottil
Serie A · 2023
24€8.0M€5.0Mfell
Alexis Saelemaekers
Serie A · 2023
24€15.0M€17.0Mflat
Krépin Diatta
Ligue 1 · 2024
25€12.0M€6.0Mfell

Transfer history

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

DateFromToFeeMV at time
3 Feb 2025FeyenoordAC Milan€30.2M€37.0M
29 Jul 2022CD Cruz AzulFeyenoord€6.0M€4.0M
1 Jan 2020Cruz Azul U20CD Cruz AzulUnknown€100k
1 Jan 2017Cruz Azul U17Cruz Azul U20UnknownData unavailable
1 Jul 2016Cruz Azul Jgd.Cruz Azul U17UnknownData 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.