Manfred Ugalde

24 yrs · Striker · Costa Rica
FK Spartak Moskva · Premier Liga · Foot: right · Height: 173 cm
Risk: HighConfidence: MediumSample: HighDevelopment: ModerateContract: until 30 Jun 2028
Market value
€12.0M
Updated today
Estimated acquisition
€8.6M – €15.9M
Estimated · 20–80% range
Model value
€2.0M – €10.7M
Performance-implied · estimated
Projected (24m)
€4.8M – €16.7M
Resale range · estimated
Potential value gap
-€14.0M – €2.1M
Model value − acquisition

Value picture

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

Estimated acquisition€8.6M – €15.9M
Model value (performance-implied)€2.0M – €10.7M
Projected value (24 months)€4.8M – €16.7M
Dashed line: current market value (€12.0M). Bars are 20–80% model ranges; tick = median.

The model rates Manfred Ugalde's performance-implied value at EUR 2.0M-10.7M, below the estimated acquisition range of EUR 8.6M-15.9M. Its 24-month market value projection is EUR 4.8M-16.7M. Context-adjusted goal contributions are 0.73x the positional average in the league (1848 minutes, league coefficient 0.56). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 20

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

PerformanceAbove average61.8th pct among ATT peers (age-neutral)
AgeNeutral24.1 years
Acquisition costNeutralest. €11.2M vs market €12.0M
Expected appreciationVery low-29% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentModerate
League translationModerateleague coefficient 0.56
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
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: €15.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1848 (68% of available)
Goals + assists / 90
0.44
Context-adjusted G+A / 90
0.37
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
62 (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
0.56 (rank 10)
Team strength (Elo)
1443
Opponent strength
1328
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)
€4.8M – €16.7M

Trajectory drivers: relative output down 40% vs positional peers.

Historical comparables (8): median 2-year value change +3% (IQR -20% to +74%).

Risk profile

Overall: High

  • ⚠League level coefficient 0.56 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠League level estimated mainly from squad values (few matches vs other leagues).
  • ⚠Projection range wider than for most evaluated players.
  • ⚠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).

Historical movers
20 (ATT)
Relative output kept
76%–104%
Held a regular role (900+ min)
50%
Confidence
Medium

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.
2025/26FK Spartak MoskvaPremier LigaST29184868%540.440.37132814430.56
2024/25FK Spartak MoskvaPremier LigaST29213479%1750.930.65130714700.55
2023/24FC Twente EnschedeEredivisieST18138245%760.850.47135114660.48
2023/24FK Spartak MoskvaPremier LigaST1279129%000.000.29136513830.49
2022/23FC Twente EnschedeEredivisieST2486228%810.940.55132215050.58
2021/22FC Twente EnschedeEredivisieST2563521%320.710.65135514350.60

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupFK Spartak Moskva740830—
2024/25Russian CupFK Spartak Moskva638111—
2023/24Uefa Conference League QualifyingFC Twente Enschede6517111420
2023/24Russian CupFK Spartak Moskva423510—
2023/24Knvb BekerFC Twente Enschede16910—
2022/23Knvb BekerFC Twente Enschede29901—
2022/23Uefa Conference League QualifyingFC Twente Enschede19001477
2021/22Knvb BekerFC Twente Enschede317010—

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
Jesús Corona
Liga Portugal · 2016
23€10.0M€12.0Mrose
Wanderson
Premier Liga · 2020
26€9.0M€8.0Mflat
Jens Odgaard
Eredivisie · 2023
24€6.0M€12.0Mrose
Noa Lang
Jupiler Pro League · 2023
24€15.0M€25.0Mrose
Joseph Paintsil
Jupiler Pro League · 2024
26€9.5M€6.0Mfell
Ferran Jutglà
Jupiler Pro League · 2023
24€10.0M€8.0Mfell
Milot Rashica
Eredivisie · 2018
22€7.0M€28.0Mrose
Rafa Silva
Liga Portugal · 2016
23€15.0M€12.0Mfell

Transfer history

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

DateFromToFeeMV at time
29 Jan 2024FC TwenteSpartak Moscow€13.0M€5.0M
6 Jul 2023Lommel SKFC Twente€4.0M€3.0M
30 Jun 2023FC TwenteLommel SKFree / loan€3.0M
1 Jul 2021Lommel SKFC TwenteFree / loan€1.1M
14 Jul 2020SaprissaLommel SK€875k€250k
1 Jul 2019Saprissa U20SaprissaUnknownData 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.