Elvis Rexhbecaj

28 yrs · Central midfielder (also DM) · Kosovo
FC Augsburg · Bundesliga · Foot: left · Height: 182 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2030
Market value
€3.5M
Updated 6 days ago
Estimated acquisition
€1.4M – €3.7M
Estimated · 20–80% range
Model value
€2.5M – €5.1M
Performance-implied · estimated
Projected (24m)
€1.4M – €3.4M
Resale range · estimated
Potential value gap
-€1.2M – €3.7M
Model value − acquisition

Value picture

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

Estimated acquisition€1.4M – €3.7M
Model value (performance-implied)€2.5M – €5.1M
Projected value (24 months)€1.4M – €3.4M
Dashed line: current market value (€3.5M). Bars are 20–80% model ranges; tick = median.

The model rates Elvis Rexhbecaj's performance-implied value at EUR 2.5M-5.1M, above the estimated acquisition range of EUR 1.4M-3.7M. Its 24-month market value projection is EUR 1.4M-3.4M. Context-adjusted goal contributions are 0.94x the positional average in the league (1109 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.

Bargain Index: 42

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

PerformanceAbove average63.4th pct among MID peers (age-neutral)
AgeUnfavorable28.7 years
Acquisition costFavorableest. €2.3M vs market €3.5M
Expected appreciationVery low-38% 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: €8.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1109 (36% of available)
Goals + assists / 90
0.16
Context-adjusted G+A / 90
0.20
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
63 (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)
1421
Opponent strength
1526
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€1.4M – €3.4M

Trajectory drivers: minutes share down 22 pts.

Historical comparables (8): median 2-year value change -27% (IQR -49% to +0%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 1109 league minutes last season.
  • ⚠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).

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.
2025/26FC AugsburgBundesligaCM26110936%200.160.20152614210.94
2024/25FC AugsburgBundesligaCM27179259%110.100.16149114040.94
2023/24FC AugsburgBundesligaDM25199565%200.090.12152513931.01
2022/23FC AugsburgBundesligaCM31253683%000.000.06152713781.04
2021/22VfL BochumBundesligaCM32253683%000.000.07152714191.05
2020/211.FC KölnBundesligaCM30183860%520.340.37154914001.06
2019/201.FC KölnBundesligaCM1361920%040.580.40153914071.06
2018/19VfL WolfsburgBundesligaCM24114537%220.310.23152515421.05
2017/18VfL WolfsburgBundesligaDM41244%000.000.09151414341.04

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Dfb PokalFC Augsburg19000—
2024/25Dfb PokalFC Augsburg426410—
2023/24Dfb PokalFC Augsburg12900—
2022/23Dfb PokalFC Augsburg215101—
2021/22Dfb PokalVfL Bochum442002—
2020/21Dfb Pokal1.FC Köln315721—
2019/20Uefa Europa LeagueVfL Wolfsburg190001472
2019/20Dfb PokalVfL Wolfsburg12100—
2018/19Dfb PokalVfL Wolfsburg214900—

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
Aarón Martín
Serie A · 2024
27€5.0M€5.0Mflat
Liam Henderson
Serie A · 2023
27€2.5M€1.4Mfell
Karol Linetty
Serie A · 2022
27€3.5M€3.5Mflat
Jimmy Durmaz
Ligue 1 · 2017
28€2.0M€2.0Mflat
Kanu
Premier Liga · 2014
27€2.3M€700kfell
Álex Fernández
Laliga · 2023
31€4.0M€1.5Mfell
Mërgim Vojvoda
Serie A · 2023
28€4.0M€3.0Mfell
Philipp Förster
Bundesliga · 2022
27€2.5M€1.8Mfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2026AugsburgWolfsburgFree / loan€3.5M
27 Jul 2022WolfsburgAugsburg€1.7M€4.0M
30 Jun 2022VfL BochumWolfsburgFree / loan€4.0M
2 Aug 2021WolfsburgVfL BochumFree / loan€4.0M
30 Jun 20211.FC KölnWolfsburgFree / loan€4.0M
6 Jan 2020Wolfsburg1.FC KölnFree / loan€5.0M
20 Aug 2017Wolfsburg IIWolfsburgUnknown€100k
1 Jul 2016Wolfsburg U19Wolfsburg IIUnknownData unavailable
1 Jul 2014Wolfsburg U17Wolfsburg U19UnknownData unavailable
1 Jul 2012Wolfsburg Yth.Wolfsburg U17UnknownData unavailable
1 Jul 2010BSC Süd Yth.Wolfsburg 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.