Ridle Baku

28 yrs · Right-back (also CM, RM, RW) · Germany
RB Leipzig · Bundesliga · Foot: right · Height: 176 cm
Risk: LowConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2027
Market value
€12.0M
Updated 6 days ago
Estimated acquisition
€4.4M – €10.0M
Estimated · 20–80% range
Model value
€7.2M – €16.9M
Performance-implied · estimated
Projected (24m)
€4.4M – €10.7M
Resale range · estimated
Potential value gap
-€2.9M – €12.6M
Model value − acquisition

Value picture

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

Estimated acquisition€4.4M – €10.0M
Model value (performance-implied)€7.2M – €16.9M
Projected value (24 months)€4.4M – €10.7M
Dashed line: current market value (€12.0M). Bars are 20–80% model ranges; tick = median.

The model rates Ridle Baku's performance-implied value at EUR 7.2M-16.9M, above the estimated acquisition range of EUR 4.4M-10.0M. Its 24-month market value projection is EUR 4.4M-10.7M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Acquisition note: Final year of contract: selling club's leverage is reduced.

Bargain Index: 69

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

PerformanceHigh83.6th pct among DEF peers (age-neutral)
AgeUnfavorable28.2 years
Acquisition costVery favorableest. €5.8M vs market €12.0M
Expected appreciationVery low-40% 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.
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: €25.0M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
2514 (82% of available)
Goals + assists / 90
0.18
Context-adjusted G+A / 90
0.12
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
84 (High)

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)
1568
Opponent strength
1486
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)
€4.4M – €10.7M

Trajectory drivers: team strength up (+80 Elo); role change RM -> RB.

Historical comparables (8): median 2-year value change -65% (IQR -74% to -15%).

Risk profile

Overall: Low

  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⓘ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.
2025/26RB LeipzigBundesligaRB32251482%230.180.12148615680.94
2024/25RB LeipzigBundesligaRM19127842%230.350.21147315330.94
2024/25VfL WolfsburgBundesligaRW15117538%220.310.37149914380.94
2023/24VfL WolfsburgBundesligaRB33201466%100.040.08154114271.01
2022/23VfL WolfsburgBundesligaRB33258284%530.280.28152715251.04
2021/22VfL WolfsburgBundesligaRM34244980%350.290.32151714951.05
2020/21VfL WolfsburgBundesligaRB32268988%680.470.29152616131.06
2020/211.FSV Mainz 05BundesligaRB21806%000.000.11153614811.06
2019/201.FSV Mainz 05BundesligaCM30235077%130.150.19154314711.06
2018/191.FSV Mainz 05BundesligaCM1593831%000.000.10150514881.05
2017/181.FSV Mainz 05BundesligaCM32348%200.770.44155114441.04

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Dfb PokalRB Leipzig324401—
2024/25Dfb PokalVfL Wolfsburg325701—
2024/25Dfb PokalRB Leipzig217000—
2023/24Dfb PokalVfL Wolfsburg320110—
2022/23Dfb PokalVfL Wolfsburg327000—
2021/22Uefa Champions LeagueVfL Wolfsburg6413101648
2021/22Dfb PokalVfL Wolfsburg112010—
2020/21Dfb PokalVfL Wolfsburg320700—
2020/21Dfb Pokal1.FSV Mainz 0519001—
2019/20Dfb Pokal1.FSV Mainz 0517500—
2018/19Dfb Pokal1.FSV Mainz 0519001—
2017/18Dfb Pokal1.FSV Mainz 0515700—

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
Gianluca Mancini
Serie A · 2023
27€18.0M€15.0Mflat
Vedran Corluka
Premier Liga · 2014
28€10.0M€9.0Mflat
Stefan Posch
Serie A · 2024
27€14.0M€6.0Mfell
Aleksey Kozlov
Premier Liga · 2014
28€7.0M€2.0Mfell
Igor Zubeldia
Laliga · 2024
27€22.0M€6.0Mfell
Mathieu Debuchy
Ligue 1 · 2013
28€11.5M€13.0Mflat
Stefan Lainer
Bundesliga · 2021
29€12.5M€3.0Mfell
John Brooks
Bundesliga · 2021
28€14.0M€2.0Mfell

Transfer history

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

DateFromToFeeMV at time
10 Jan 2025WolfsburgLeipzig€4.5M€7.0M
1 Oct 2020MainzWolfsburg€10.0M€7.0M
1 Jul 2018FSV Mainz 05 IIMainzUnknown€125k
1 Jul 2017Mainz 05 U19FSV Mainz 05 IIUnknownData unavailable
1 Jul 2015Mainz 05 U17Mainz 05 U19UnknownData unavailable
1 Jul 2013Mainz 05 Yth.Mainz 05 U17UnknownData 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.

Ridle Baku · MoneyballAI