Strahinja Erakovic

25 yrs · Centre-back · Serbia
AO FK Zenit Sankt-Peterburg · Premier Liga · Foot: right · Height: 186 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: ModerateContract: until 31 Aug 2026
Market value
€7.0M
Updated 7 days ago
Estimated acquisition
€0 – €3.1M
Estimated · 20–80% range
Model value
€2.0M – €10.1M
Performance-implied · estimated
Projected (24m)
€3.2M – €8.3M
Resale range · estimated
Potential value gap
-€1.1M – €10.1M
Model value − acquisition

Value picture

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

Estimated acquisition€0 – €3.1M
Model value (performance-implied)€2.0M – €10.1M
Projected value (24 months)€3.2M – €8.3M
Dashed line: current market value (€7.0M). Bars are 20–80% model ranges; tick = median.

The model rates Strahinja Erakovic's performance-implied value at EUR 2.0M-10.1M, above the estimated acquisition range of EUR 0.0M-3.1M. Its 24-month market value projection is EUR 3.2M-8.3M. 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 ends within 6 months: can sign a pre-contract; small or no fee.

Bargain Index: not assigned

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

Insufficient sample (< 900 league minutes)

PerformanceAbove average59.1th pct among DEF peers (age-neutral)
AgeNeutral25.4 years
Acquisition costVery favorableest. €626k vs market €7.0M
Expected appreciationVery low-29% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentModerate
League translationModerateleague coefficient 0.56
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskVery High
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: €10.0M

Profile vs positional peers

Percentiles among 1269 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
637 (24% of available)
Goals + assists / 90
0.14
Context-adjusted G+A / 90
0.06
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
59 (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
0.56 (rank 10)
Team strength (Elo)
1597
Opponent strength
1265
Possession, role
Data unavailable

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

Potential

Development
Moderate
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€3.2M – €8.3M

Trajectory drivers: minutes share down 36 pts; relative output up 55% vs positional peers.

Historical comparables (8): median 2-year value change +30% (IQR -16% to +61%).

Risk profile

Overall: Very High

  • ▲Small sample: 637 league minutes last season.
  • ⚠League level coefficient 0.56 (1.00 = big-five average): output may not translate.
  • ⚠League level estimated mainly from squad values (few matches vs other leagues).
  • ⚠Contract ends in 2 months: cheaper, but competition and wage demands likely.
  • ⚠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).

Historical movers
25 (DEF)
Relative output kept
48%–200%
Held a regular role (900+ min)
72%
Confidence
Medium

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.
2025/26AO FK Zenit Sankt-PeterburgPremier LigaCB1263724%010.140.06126515970.56
2024/25AO FK Zenit Sankt-PeterburgPremier LigaCB22160559%010.060.04130215580.55
2023/24AO FK Zenit Sankt-PeterburgPremier LigaCB27233987%020.080.04132214910.49

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupAO FK Zenit Sankt-Peterburg756600—
2025/26Uefa Europa LeagueRed Star Belgrade2205001519
2024/25Russian CupAO FK Zenit Sankt-Peterburg635100—
2024/25Russian Super CupAO FK Zenit Sankt-Peterburg190011405
2023/24Russian CupAO FK Zenit Sankt-Peterburg1074101—

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
Tajon Buchanan
Jupiler Pro League · 2024
25€8.0M€12.0Mrose
Andy Nájar
Jupiler Pro League · 2017
24€5.0M€2.5Mfell
Tomás Araújo
Liga Portugal · 2024
22€7.0M€30.0Mrose
André Almeida
Liga Portugal · 2017
27€5.0M€8.0Mrose
Radosav Petrovic
Premier Liga · 2016
27€2.5M€1.0Mfell
Mikael Lustig
Scottish Premiership · 2014
28€3.5M€3.5Mflat
Ezequiel Schelotto
Liga Portugal · 2016
27€2.8M€4.5Mrose
Joshua Brenet
Eredivisie · 2017
23€4.0M€4.5Mflat

Transfer history

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

DateFromToFeeMV at time
4 Feb 2026Zenit S-PbRed StarFree / loan€7.5M
23 Jul 2023Red StarZenit S-Pb€8.0M€9.0M
1 Jul 2020Red Star U19Red StarUnknown€300k
30 Jun 2020GraficarRed Star U19Free / loan€300k
1 Jul 2019Red Star U19GraficarFree / loan€50k
1 Jul 2018Red Star U17Red Star U19UnknownData unavailable
1 Jul 2016Red Star U15Red Star 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.

Strahinja Erakovic · MoneyballAI