Stefan Loncar

30 yrs · Defensive midfielder (also CM) · Montenegro
Akron Togliatti · Premier Liga · Foot: both · Height: 190 cm
Risk: Very HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€1.2M
Updated 7 days ago
Estimated acquisition
€268k – €849k
Estimated · 20–80% range
Model value
€667k – €1.2M
Performance-implied · estimated
Projected (24m)
€350k – €985k
Resale range · estimated
Potential value gap
-€182k – €908k
Model value − acquisition

Value picture

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

Estimated acquisition€268k – €849k
Model value (performance-implied)€667k – €1.2M
Projected value (24 months)€350k – €985k
Dashed line: current market value (€1.2M). Bars are 20–80% model ranges; tick = median.

The model rates Stefan Loncar's performance-implied value at EUR 0.7M-1.2M, above the estimated acquisition range of EUR 0.3M-0.8M. Its 24-month market value projection is EUR 0.3M-1.0M. Context-adjusted goal contributions are 1.57x the positional average in the league (1797 minutes, league coefficient 0.56). 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: 47

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

PerformanceBelow average26.6th pct among MID peers (age-neutral)
AgeUnfavorable30.4 years
Acquisition costVery favorableest. €357k vs market €1.2M
Expected appreciationVery low-51% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentLow
League translationModerateleague coefficient 0.56
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskVery High
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: €1.5M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1797 (67% of available)
Goals + assists / 90
0.30
Context-adjusted G+A / 90
0.34
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
27 (Below 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)
1212
Opponent strength
1342
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)
€350k – €985k

Trajectory drivers: minutes share down 21 pts; relative output down 28% vs positional peers.

Historical comparables (8): median 2-year value change -39% (IQR -53% to -17%).

Risk profile

Overall: Very High

  • ⚠Limited sample: 1797 league minutes last season.
  • ⚠League level coefficient 0.56 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠League level estimated mainly from squad values (few matches vs other leagues).
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⚠Age 30: resale value typically declines.
  • ⚠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
18 (MID)
Relative output kept
54%–153%
Held a regular role (900+ min)
56%
Confidence
Low

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.
2025/26Akron TogliattiPremier LigaCM28179767%420.300.34134212120.56
2024/25Akron TogliattiPremier LigaCM29236688%660.460.46131312600.55

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupAkron Togliatti627900—
2024/25Russian CupAkron Togliatti26300—

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
Adil Auassar
Eredivisie · 2017
31€750k€300kfell
Rachid Bourabia
Jupiler Pro League · 2014
29€900k€600kfell
Mark-Jan Fledderus
Eredivisie · 2014
32€900k€700kfell
Mattheus
Liga Portugal · 2024
30€1.0M€1.0Mflat
Jasmin Scuk
Super Lig · 2019
29€900k€500kfell
Rob Schoofs
Jupiler Pro League · 2023
29€2.2M€2.2Mflat
Ryan Koolwijk
Eredivisie · 2014
29€1.2M€600kfell
Danny Holla
Eredivisie · 2017
30€1.3M€400kfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2024DebrecenAkron Tolyatti€125k€500k
26 Jan 2023Novi PazarDebrecenUnknown€800k
9 Jul 2021NK IstraNovi PazarFree / loan€100k
28 Jan 2019Sutjeska NiksicNK IstraUnknown€300k
17 Feb 2017RadSutjeska NiksicUnknown€200k
31 Aug 2016Sutjeska NiksicRadFree / loan€300k

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.

Stefan Loncar · MoneyballAI