Nico Schlotterbeck

26 yrs · Centre-back · Germany
Borussia Dortmund · Bundesliga · Foot: left · Height: 191 cm
Risk: LowConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2031
Market value
€55.0M
Updated 6 days ago
Estimated acquisition
€41.3M – €69.2M
Estimated · 20–80% range
Model value
€20.7M – €57.0M
Performance-implied · estimated
Projected (24m)
€23.9M – €50.8M
Resale range · estimated
Potential value gap
-€48.5M – €15.7M
Model value − acquisition

Value picture

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

Estimated acquisition€41.3M – €69.2M
Model value (performance-implied)€20.7M – €57.0M
Projected value (24 months)€23.9M – €50.8M
Dashed line: current market value (€55.0M). Bars are 20–80% model ranges; tick = median.

The model rates Nico Schlotterbeck's performance-implied value at EUR 20.7M-57.0M, below the estimated acquisition range of EUR 41.3M-69.2M. Its 24-month market value projection is EUR 23.9M-50.8M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 9

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

PerformanceElite96.5th pct among DEF peers (age-neutral)
AgeNeutral26.6 years
Acquisition costNeutralest. €54.6M vs market €55.0M
Expected appreciationVery low-35% over ~2 years (model)
Value gapVery negativeweak 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.
RiskLow
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: €55.0M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
2520 (82% of available)
Goals + assists / 90
0.25
Context-adjusted G+A / 90
0.11
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
97 (Elite)

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)
1656
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
improving
Breakout probability
Age > 23
Resale range (24m)
€23.9M – €50.8M

Trajectory drivers: minutes share up 18 pts.

Historical comparables (8): median 2-year value change -35% (IQR -43% to -21%).

Risk profile

Overall: Low

  • ⓘ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.
2025/26Borussia DortmundBundesligaCB28252082%520.250.11149216560.94
2024/25Borussia DortmundBundesligaCB23198465%040.180.09146816800.94
2023/24Borussia DortmundBundesligaCB33286193%230.160.08150817161.01
2022/23Borussia DortmundBundesligaCB28225674%450.360.18151516911.04
2021/22SC FreiburgBundesligaCB32278891%410.160.12151715431.05
2020/211.FC Union BerlinBundesligaCB16128842%100.070.07152415081.06
2019/20SC FreiburgBundesligaCB1337212%000.000.04145614771.06
2018/19SV Werder BremenBundesligaCB1903%000.000.05143815641.05
2018/19RB LeipzigBundesligaCB1903%000.000.04142316501.05
2018/19SC FreiburgBundesligaCB2462%000.000.08151014131.05

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Champions LeagueBorussia Dortmund7560001595
2025/26Dfb PokalBorussia Dortmund221000—
2025/26World CupGermany213510—
2024/25Uefa Champions LeagueBorussia Dortmund121080021606
2024/25Dfb PokalBorussia Dortmund221000—
2023/24Uefa Champions LeagueBorussia Dortmund12976021721
2023/24Dfb PokalBorussia Dortmund324100—
2022/23Uefa Champions LeagueBorussia Dortmund8559001615
2022/23Dfb PokalBorussia Dortmund322000—
2021/22Dfb PokalSC Freiburg663001—
2020/21Dfb Pokal1.FC Union Berlin112010—
2019/20Dfb PokalSC Freiburg19000—

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
Kalidou Koulibaly
Serie A · 2018
27€60.0M€56.0Mflat
Theo Hernández
Serie A · 2024
27€60.0M€20.0Mfell
Mats Hummels
Bundesliga · 2016
28€38.0M€60.0Mrose
Nahuel Molina
Laliga · 2023
25€35.0M€20.0Mfell
Marquinhos
Ligue 1 · 2022
28€70.0M€50.0Mfell
Stefan de Vrij
Serie A · 2020
28€48.0M€28.0Mfell
José María Giménez
Laliga · 2023
28€35.0M€20.0Mfell
Cristian Romero
Premier League · 2024
26€60.0M€45.0Mfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2022FreiburgDortmund€20.0M€33.0M
30 Jun 2021Union BerlinFreiburgFree / loan€7.5M
31 Jul 2020FreiburgUnion BerlinFree / loan€4.0M
1 Jul 2019SC Freiburg IIFreiburgUnknown€300k
1 Jul 2018SC Freiburg U19SC Freiburg IIUnknownData unavailable
1 Jul 2017Karlsruhe U19SC Freiburg U19€90kData unavailable
1 Jul 2016Karlsruhe U17Karlsruhe U19UnknownData unavailable
1 Jul 2015VfR Aalen U17Karlsruhe U17Free / loanData unavailable
1 Jul 2014S. Kickers Yth.VfR Aalen U17Free / loanData unavailable
1 Jul 2007Weinstadt Yth.S. Kickers Yth.Free / 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.

Nico Schlotterbeck · MoneyballAI