Stanley Nsoki

27 yrs · Centre-back (also LB) · France
1.FC Union Berlin · Bundesliga · Foot: left · Height: 184 cm
Risk: ModerateConfidence: LowSample: LowDevelopment: LowContract: Data unavailable
Market value
€2.0M
Updated 7 days ago
Estimated acquisition
€701k – €3.0M
Estimated · 20–80% range
Model value
€1.8M – €6.2M
Performance-implied · estimated
Projected (24m)
€862k – €2.5M
Resale range · estimated
Potential value gap
-€1.2M – €5.5M
Model value − acquisition

Value picture

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

Estimated acquisition€701k – €3.0M
Model value (performance-implied)€1.8M – €6.2M
Projected value (24 months)€862k – €2.5M
Dashed line: current market value (€2.0M). Bars are 20–80% model ranges; tick = median.

The model rates Stanley Nsoki's performance-implied value at EUR 1.8M-6.2M, above the estimated acquisition range of EUR 0.7M-3.0M. Its 24-month market value projection is EUR 0.9M-2.5M. Confidence is low: 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: not assigned

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

Insufficient sample (< 900 league minutes)

PerformanceAverage54.9th pct among DEF peers (age-neutral)
AgeNeutral27.2 years
Acquisition costFavorableest. €1.6M vs market €2.0M
Expected appreciationLow-23% 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 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: €12.0M

Profile vs positional peers

Percentiles among 1269 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
819 (27% of available)
Goals + assists / 90
0.33
Context-adjusted G+A / 90
0.18
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
55 (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
1495
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
improving
Breakout probability
Age > 23
Resale range (24m)
€862k – €2.5M

Trajectory drivers: minutes share down 16 pts; changed club; relative output up 408% vs positional peers.

Historical comparables (8): median 2-year value change -38% (IQR -58% to -2%).

Risk profile

Overall: Moderate

  • ▲Small sample: 819 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 BerlinBundesligaCB1381927%120.330.18149513920.94
2024/25TSG 1899 HoffenheimBundesligaCB22130743%000.000.03154214150.94
2023/24TSG 1899 HoffenheimBundesligaCB1163221%000.000.04152714711.01
2022/23TSG 1899 HoffenheimBundesligaCB19128642%100.070.07152414441.04
2022/23Club Brugge KVJupiler Pro LeagueCB21525%000.000.04127914910.58
2021/22Club Brugge KVJupiler Pro LeagueCB26209068%000.000.02132715120.49
2020/21OGC NiceLigue 1CB18124436%000.000.03142413980.75
2019/20OGC NiceLigue 1LB17127250%010.070.11138914560.82
2018/19Paris Saint-GermainLigue 1LB1269820%000.000.04143117140.82
2017/18Paris Saint-GermainLigue 1CB1251%000.000.03134717740.85

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Dfb Pokal1.FC Union Berlin1200—
2024/25Uefa Europa LeagueTSG 1899 Hoffenheim5433001536
2022/23Dfb PokalTSG 1899 Hoffenheim217600—
2021/22Uefa Champions LeagueClub Brugge KV6484001733
2020/21Uefa Europa LeagueOGC Nice2108011571
2018/19Trophee Des ChampionsParis Saint-Germain190021620

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
João Guilherme
Liga Portugal · 2013
27€1.9M€1.2Mfell
Adam Masina
Serie A · 2023
29€2.5M€1.5Mfell
Mitchell Dijks
Serie A · 2022
29€2.0M€850kfell
Alessandro Vogliacco
Serie A · 2024
26€2.0M€2.5Mrose
Thomas Heurtaux
Serie A · 2017
29€2.7M€400kfell
Slobodan Rajković
Bundesliga · 2016
27€1.0M€900kflat
Ardian Ismajli
Serie A · 2021
25€2.5M€3.5Mrose
Mohamed Fofana
Ligue 1 · 2013
28€1.3M€500kfell

Transfer history

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

DateFromToFeeMV at time
30 Jun 2026Union BerlinHoffenheimFree / loan€2.0M
24 Jul 2025HoffenheimUnion BerlinFree / loan€2.5M
3 Aug 2022Club BruggeHoffenheim€12.0M€7.0M
24 Jul 2021NiceClub Brugge€6.5M€5.0M
31 Aug 2019PSGNice€12.5M€8.5M
1 Jul 2018Paris SG BPSGUnknownData unavailable
3 Jul 2017Paris SG U19Paris SG BUnknownData unavailable
1 Jul 2016Paris SG U17Paris SG 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.