Villads Westh

22 yrs · Central midfielder (also DM) · Denmark
Silkeborg IF · Superliga · Foot: left · Height: 182 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: ModerateContract: until 31 Dec 2029
Market value
€700k
Updated 7 days ago
Estimated acquisition
€308k – €1.0M
Estimated · 20–80% range
Model value
€217k – €583k
Performance-implied · estimated
Projected (24m)
€421k – €1.6M
Resale range · estimated
Potential value gap
-€795k – €275k
Model value − acquisition

Value picture

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

Estimated acquisition€308k – €1.0M
Model value (performance-implied)€217k – €583k
Projected value (24 months)€421k – €1.6M
Dashed line: current market value (€700k). Bars are 20–80% model ranges; tick = median.

The model rates Villads Westh's performance-implied value at EUR 0.2M-0.6M, below the estimated acquisition range of EUR 0.3M-1.0M. Its 24-month market value projection is EUR 0.4M-1.6M. Context-adjusted goal contributions are 0.51x the positional average in the league (959 minutes, league coefficient 0.47). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 78

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

PerformanceBelow average0.6th pct among MID peers (age-neutral)
AgeFavorable22.2 years
Acquisition costFavorableest. €578k vs market €700k
Expected appreciationNeutral+9% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentModeratebreakout probability 20%
League translationUncertainleague coefficient 0.47
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: €750k

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
959 (48% of available)
Goals + assists / 90
0.00
Context-adjusted G+A / 90
0.06
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
1 (Below 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
0.47 (rank 12)
Team strength (Elo)
1213
Opponent strength
1265
Possession, role
Data unavailable

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

Potential

Development
Moderate
Trajectory
insufficient
Breakout probability
20%
Resale range (24m)
€421k – €1.6M

Historical comparables (8): median 2-year value change +10% (IQR -11% to +27%).

Risk profile

Overall: High

  • ⚠Limited sample: 959 league minutes last season.
  • ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition 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).

Historical movers
23 (MID)
Relative output kept
68%–122%
Held a regular role (900+ min)
65%
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.
2025/26Silkeborg IFSuperligaDM1495948%000.000.06126512130.47

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Oddset PokalenSilkeborg IF314301—
2025/26Oddset PokalenKolding IF12800—

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
Anouar El Azzouzi
Eredivisie · 2024
23€650k€650kflat
Pavlos Mitropoulos
Super League 1 · 2013
23€500k€600krose
Mohamed Diomandé
Superliga · 2022
21€1.3M€4.0Mrose
Ömer Beyaz
Super Lig · 2024
21€650k€400kfell
Diego Lopes
Super League 1 · 2017
23€1.0M€1.0Mflat
Roly Bonevacia
Eredivisie · 2013
22€500k€750krose
Jeppe Andersen
Superliga · 2015
23€500k€300kfell
Dmytro Grechyshkin
Premier Liga · 2015
24€1.0M€1.2Mrose

Transfer history

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

DateFromToFeeMV at time
1 Sept 2025Kolding IFSilkeborg IF€335k€450k
31 Jan 2024Randers FC U19Kolding IFUnknown€150k
1 Jul 2021B.93 YouthRanders FC U19UnknownData 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.