Rob Schoofs

32 yrs · Central midfielder (also DM) · Belgium
Union Saint-Gilloise · Jupiler Pro League · Foot: left · Height: 178 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2028
Market value
€2.0M
Updated 6 days ago
Estimated acquisition
€658k – €1.8M
Estimated · 20–80% range
Model value
€932k – €3.8M
Performance-implied · estimated
Projected (24m)
€434k – €1.1M
Resale range · estimated
Potential value gap
-€876k – €3.2M
Model value − acquisition

Value picture

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

Estimated acquisition€658k – €1.8M
Model value (performance-implied)€932k – €3.8M
Projected value (24 months)€434k – €1.1M
Dashed line: current market value (€2.0M). Bars are 20–80% model ranges; tick = median.

The model rates Rob Schoofs's performance-implied value at EUR 0.9M-3.8M, above the estimated acquisition range of EUR 0.7M-1.8M. Its 24-month market value projection is EUR 0.4M-1.1M. Context-adjusted goal contributions are 1.10x the positional average in the league (1630 minutes, league coefficient 0.65). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 10

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

PerformanceAbove average69.9th pct among MID peers (age-neutral)
AgeUnfavorable32.3 years
Acquisition costVery favorableest. €1.1M vs market €2.0M
Expected appreciationVery low-63% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentLow
League translationModerateleague coefficient 0.65
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: €2.5M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1630 (60% of available)
Goals + assists / 90
0.39
Context-adjusted G+A / 90
0.23
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
70 (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
0.65 (rank 6)
Team strength (Elo)
1505
Opponent strength
1358
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€434k – €1.1M

Trajectory drivers: minutes share down 31 pts; changed club; team strength up (+155 Elo).

Historical comparables (8): median 2-year value change -68% (IQR -76% to -38%).

Risk profile

Overall: High

  • ▲Age 32: resale value typically declines.
  • ⚠Limited sample: 1630 league minutes last season.
  • ⚠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
60 (MID)
Relative output kept
63%–142%
Held a regular role (900+ min)
72%
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.
2025/26Union Saint-GilloiseJupiler Pro LeagueCM23109941%230.410.23135815700.65
2025/26KV MechelenJupiler Pro LeagueCM653120%200.340.27136313700.65
2024/25KV MechelenJupiler Pro LeagueCM28247392%340.250.28137913500.63
2023/24KV MechelenJupiler Pro LeagueCM28243190%660.440.43139313670.63
2022/23KV MechelenJupiler Pro LeagueCM27225074%740.440.34129313020.58
2021/22KV MechelenJupiler Pro LeagueDM29255583%390.420.32133613200.49
2020/21KV MechelenJupiler Pro LeagueDM34276890%470.360.28135313650.55
2019/20KV MechelenJupiler Pro LeagueCM26205979%330.260.25137413540.63
2017/18KV MechelenJupiler Pro LeagueCM21170463%220.210.17136512880.63
2016/17KAA GentJupiler Pro LeagueCM1383631%120.320.16127514740.62
2015/16Sint-Truidense VVJupiler Pro LeagueCM23207077%230.220.17132612260.57
2015/16KAA GentJupiler Pro LeagueCM21355%000.000.09129514790.57

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Jupiler Pro League Playoff IUnion Saint-Gilloise7366021404
2025/26Uefa Champions LeagueUnion Saint-Gilloise7192011643
2023/24Volkswagen SupercupKV Mechelen190001497
2019/20Volkswagen SupercupKV Mechelen190001557
2016/17Uefa Europa League QualifyingKAA Gent2104001341

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
Oleg Ivanov
Premier Liga · 2017
31€3.0M€2.0Mfell
Danijel Milicevic
Jupiler Pro League · 2017
31€2.5M€400kfell
Ruslan Rotan
Premier Liga · 2015
34€1.8M€300kfell
Custódio
Liga Portugal · 2014
31€3.0M€900kfell
Thomas Kristensen
Superliga · 2014
31€900k€550kfell
Mahmut Tekdemir
Super Lig · 2020
32€1.4M€475kfell
Alexandru Gatcan
Premier Liga · 2016
32€1.5M€400kfell
Márcio Mossoró
Super Lig · 2015
32€2.0M€1.5Mfell

Transfer history

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

DateFromToFeeMV at time
1 Sept 2025KV MechelenUnion SG€1.4M€2.2M
5 Jul 2017KAA GentKV Mechelen€1.0M€1.2M
25 Jan 2016Sint-TruidenKAA Gent€1.0M€1.2M
1 Jul 2011St. Truiden U19Sint-TruidenUnknownData unavailable
1 Jul 2010St. Truiden U17St. Truiden U19UnknownData unavailable
1 Jul 2009STVV YouthSt. Truiden 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.