Brayan Gil

25 yrs · Striker · El Salvador
FK Baltika · Premier Liga · Foot: right · Height: 186 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 31 May 2029
Market value
€3.5M
Updated 6 days ago
Estimated acquisition
€1.9M – €5.3M
Estimated · 20–80% range
Model value
€940k – €5.5M
Performance-implied · estimated
Projected (24m)
€2.0M – €5.8M
Resale range · estimated
Potential value gap
-€4.4M – €3.7M
Model value − acquisition

Value picture

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

Estimated acquisition€1.9M – €5.3M
Model value (performance-implied)€940k – €5.5M
Projected value (24 months)€2.0M – €5.8M
Dashed line: current market value (€3.5M). Bars are 20–80% model ranges; tick = median.

The model rates Brayan Gil's performance-implied value at EUR 0.9M-5.5M, below the estimated acquisition range of EUR 1.9M-5.3M. Its 24-month market value projection is EUR 2.0M-5.8M. Context-adjusted goal contributions are 1.47x the positional average in the league (1558 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: 59

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

PerformanceAverage36.5th pct among ATT peers (age-neutral)
AgeNeutral25 years
Acquisition costNeutralest. €3.6M vs market €3.5M
Expected appreciationHigh+12% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentLow
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: €3.5M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1558 (58% of available)
Goals + assists / 90
0.81
Context-adjusted G+A / 90
0.75
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
37 (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)
1326
Opponent strength
1337
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)
€2.0M – €5.8M

Historical comparables (8): median 2-year value change -15% (IQR -46% to +0%).

Risk profile

Overall: High

  • ⚠Limited sample: 1558 league minutes last season.
  • ⚠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).
  • ⓘ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 BaltikaPremier LigaST24155858%1310.810.75133713260.56

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupFK Baltika25300—

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
Mohammad Mohebi
Premier Liga · 2024
26€3.5M€2.5Mfell
Hyun-jun Suk
Liga Portugal · 2016
25€4.0M€3.5Mflat
Jón Dagur Thorsteinsson
Jupiler Pro League · 2023
25€3.5M€800kfell
Yonathan Del Valle
Super Lig · 2016
26€2.4M€450kfell
Mario González
Jupiler Pro League · 2023
27€3.5M€3.5Mflat
Arbër Zeneli
Eredivisie · 2019
24€6.0M€5.0Mflat
Steven Berghuis
Eredivisie · 2015
24€3.5M€5.5Mrose
Tyler Boyd
Super Lig · 2019
25€1.5M€1.5Mflat

Transfer history

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

DateFromToFeeMV at time
18 Jan 2025Deportes TolimaBaltika€1.5M€800k
1 Jan 2023Alianza FCDeportes TolimaUnknown€700k
2 Jan 2022FASAlianza FC€45k€400k
31 Dec 2021Alianza FCFASFree / loan€400k
1 Jan 2021FASAlianza FCFree / loanData unavailable
4 Aug 2020KAA Gent U21FASFree / loanData unavailable
17 Jan 2020FASKAA Gent U21Free / loanData unavailable
1 Jul 2018Brujos MCFASFree / loanData unavailable
31 Dec 2017CD San PabloBrujos MCFree / loanData unavailable
1 Jul 2017Brujos MCCD San PabloFree / loanData unavailable
1 Jan 2017Turín FESA FCBrujos MCFree / 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.