Jakob Vester

21 yrs · Central midfielder (also RB) · Denmark
Viborg FF · Superliga · Foot: right · Height: 182 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: HighContract: until 31 Dec 2029
Market value
€700k
Updated 6 days ago
Estimated acquisition
€276k – €1.1M
Estimated · 20–80% range
Model value
€392k – €851k
Performance-implied · estimated
Projected (24m)
€494k – €1.7M
Resale range · estimated
Potential value gap
-€671k – €575k
Model value − acquisition

Value picture

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

Estimated acquisition€276k – €1.1M
Model value (performance-implied)€392k – €851k
Projected value (24 months)€494k – €1.7M
Dashed line: current market value (€700k). Bars are 20–80% model ranges; tick = median.

The model rates Jakob Vester's performance-implied value at EUR 0.4M-0.9M, below the estimated acquisition range of EUR 0.3M-1.1M. Its 24-month market value projection is EUR 0.5M-1.7M. Context-adjusted goal contributions are 1.48x the positional average in the league (498 minutes, league coefficient 0.47). 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)

PerformanceBelow average5.7th pct among MID peers (age-neutral)
AgeFavorable21.6 years
Acquisition costFavorableest. €530k vs market €700k
Expected appreciationVery high+37% over ~2 years (model)
Value gapNegativeweak predictor on its own
DevelopmentHighbreakout probability 45%
League translationUncertainleague coefficient 0.47
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskVery High
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: €900k

Profile vs positional peers

Percentiles among 1164 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
498 (25% of available)
Goals + assists / 90
0.54
Context-adjusted G+A / 90
0.32
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
6 (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)
1286
Opponent strength
1235
Possession, role
Data unavailable

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

Potential

Development
High
Trajectory
declining
Breakout probability
45%
Resale range (24m)
€494k – €1.7M

Trajectory drivers: minutes share down 15 pts; team strength up (+64 Elo); league level up (+45 Elo).

Historical comparables (8): median 2-year value change -3% (IQR -29% to +61%).

Risk profile

Overall: Very High

  • ▲Small sample: 498 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.
  • ⚠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).

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.
2025/26Viborg FFSuperligaCM1549825%210.540.32123512860.47
2024/25Viborg FFSuperligaCM2080441%400.450.34130712220.38
2023/24Viborg FFSuperligaCM4322%000.000.20120712610.48
2022/23Viborg FFSuperligaRB2915%000.000.10134413270.47

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Oddset PokalenViborg FF533901—
2024/25Oddset PokalenViborg FF735501—
2022/23Oddset PokalenViborg FF12600—

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
Dean Campbell
Scottish Premiership · 2022
21€425k€350kflat
Enes Saglik
Jupiler Pro League · 2014
23€600k€900krose
Anastasios Bakasetas
Super League 1 · 2015
22€500k€1.0Mrose
Abdisalam Ibrahim
Super League 1 · 2014
23€1.2M€500kfell
Mohamed Daf
Jupiler Pro League · 2014
20€450k€200kfell
Mateusz Klich
Eredivisie · 2013
23€750k€800kflat
Ibrahim Kane
Premier Liga · 2023
23€800k€700kflat
Enric Llansana
Eredivisie · 2024
23€700k€2.0Mrose

Transfer history

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

DateFromToFeeMV at time
30 Jan 2026Viborg FFSandefjord€400k€900k
1 Jul 2023Viborg FF U19Viborg FFUnknown€200k
1 Jul 2021Viborg FF YouthViborg FF U19UnknownData unavailable
1 Jul 2020Holstebro U19Viborg FF YouthFree / 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.