Woo-yeong Jeong

27 yrs · Attacking midfielder (also RW, SS) · Korea, South
1.FC Union Berlin · Bundesliga · Foot: right · Height: 179 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: LowContract: Data unavailable
Market value
€3.5M
Updated 7 days ago
Estimated acquisition
€1.4M – €4.5M
Estimated · 20–80% range
Model value
€2.5M – €6.3M
Performance-implied · estimated
Projected (24m)
€1.5M – €3.9M
Resale range · estimated
Potential value gap
-€2.0M – €4.9M
Model value − acquisition

Value picture

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

Estimated acquisition€1.4M – €4.5M
Model value (performance-implied)€2.5M – €6.3M
Projected value (24 months)€1.5M – €3.9M
Dashed line: current market value (€3.5M). Bars are 20–80% model ranges; tick = median.

The model rates Woo-yeong Jeong's performance-implied value at EUR 2.5M-6.3M, above the estimated acquisition range of EUR 1.4M-4.5M. Its 24-month market value projection is EUR 1.5M-3.9M. Context-adjusted goal contributions are 1.13x the positional average in the league (1193 minutes, league coefficient 0.94). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Acquisition note: Contract end date unavailable: range widened by 15% each side.

Bargain Index: 53

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

PerformanceAbove average58.2th pct among MID peers (age-neutral)
AgeNeutral26.8 years
Acquisition costFavorableest. €2.6M vs market €3.5M
Expected appreciationLow-24% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 0.94
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskModerate
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: €5.5M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1193 (39% of available)
Goals + assists / 90
0.38
Context-adjusted G+A / 90
0.45
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
58 (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
0.94 (rank 3)
Team strength (Elo)
1392
Opponent strength
1492
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
stable
Breakout probability
Age > 23
Resale range (24m)
€1.5M – €3.9M

Historical comparables (8): median 2-year value change -35% (IQR -50% to -19%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 1193 league minutes last season.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⓘContract end date unavailable (or stale in source).
  • ⓘ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).

Already playing in a big-five league.

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.
2025/261.FC Union BerlinBundesligaAM28119339%410.380.45149213920.94
2024/251.FC Union BerlinBundesligaAM23127142%320.350.42152413940.94
2023/24VfB StuttgartBundesligaAM2661920%230.730.45151116371.01
2022/23SC FreiburgBundesligaSS2663921%120.420.47152615611.04
2021/22SC FreiburgBundesligaAM32179159%520.350.32151015431.05
2020/21SC FreiburgBundesligaRW2681427%400.440.36150114921.06
2018/19Borussia MönchengladbachBundesligaAM140%000.000.52183915281.05

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Dfb Pokal1.FC Union Berlin314810—
2023/24Dfb PokalVfB Stuttgart39600—
2022/23Uefa Europa LeagueSC Freiburg5251111438
2022/23Dfb PokalSC Freiburg315100—
2021/22Dfb PokalSC Freiburg529800—
2020/21Dfb PokalSC Freiburg214500—
2019/20Dfb PokalSC Freiburg13300—
2018/19Uefa Champions LeagueBayern Munich19001619

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
Unai López
Laliga · 2023
28€3.5M€2.5Mfell
Andrei Girotto
Ligue 1 · 2019
27€3.0M€4.0Mrose
Stefan Reinartz
Bundesliga · 2016
27€4.0M€4.0Mflat
Alexandru Maxim
Bundesliga · 2016
26€4.0M€2.0Mfell
Niklas Schmidt
Ligue 1 · 2024
26€3.0M€1.5Mfell
Alejandro Faurlín
Premier League · 2013
27€3.3M€2.5Mfell
Edgar Prib
Bundesliga · 2016
27€2.5M€1.5Mfell
Yacouba Sylla
Ligue 1 · 2017
27€1.8M€700kfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2025StuttgartUnion Berlin€4.0M€4.0M
30 Jun 2025Union BerlinStuttgartFree / loan€4.0M
27 Aug 2024StuttgartUnion BerlinFree / loan€3.5M
11 Jul 2023FreiburgStuttgart€3.8M€3.5M
5 Jul 2020FC Bayern IIFreiburgFree / loan€1.8M
29 Jan 2020FreiburgFC Bayern IIFree / loan€2.0M
1 Jul 2019FC Bayern IIFreiburg€2.0M€2.0M
1 Jul 2018FC Bayern U19FC Bayern IIUnknownData unavailable
2 Jan 2018Incheon Utd.FC Bayern U19€700kData unavailable
1 Jan 2018Incheon Utd U18Incheon Utd.UnknownData unavailable
1 Jan 2015Incheon Utd U15Incheon Utd U18UnknownData unavailable
1 Jan 2012Incheon Yth.Incheon Utd U15UnknownData unavailable
1 Jan 2010Seoknamseo ESIncheon Yth.UnknownData unavailable
1 Jan 2009LHT F. SchoolSeoknamseo ESUnknownData unavailable
1 Jan 2008Without ClubLHT F. SchoolUnknownData 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.

Woo-yeong Jeong · MoneyballAI