Khetag Khosonov

28 yrs · Defensive midfielder (also RM) · Russia
Akron Togliatti · Premier Liga · Foot: right · Height: 185 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2028
Market value
€1.0M
Updated 6 days ago
Estimated acquisition
€273k – €867k
Estimated · 20–80% range
Model value
€454k – €905k
Performance-implied · estimated
Projected (24m)
€377k – €877k
Resale range · estimated
Potential value gap
-€413k – €632k
Model value − acquisition

Value picture

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

Estimated acquisition€273k – €867k
Model value (performance-implied)€454k – €905k
Projected value (24 months)€377k – €877k
Dashed line: current market value (€1.0M). Bars are 20–80% model ranges; tick = median.

The model rates Khetag Khosonov's performance-implied value at EUR 0.5M-0.9M, above the estimated acquisition range of EUR 0.3M-0.9M. Its 24-month market value projection is EUR 0.4M-0.9M. Context-adjusted goal contributions are 0.72x the positional average in the league (1462 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.

Bargain Index: 70

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

PerformanceBelow average18.3th pct among MID peers (age-neutral)
AgeUnfavorable28 years
Acquisition costVery favorableest. €530k vs market €1.0M
Expected appreciationVery low-36% over ~2 years (model)
Value gapSmallweak predictor on its own
DevelopmentLow
League translationModerateleague coefficient 0.56
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
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: €1.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1462 (54% of available)
Goals + assists / 90
0.06
Context-adjusted G+A / 90
0.09
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
18 (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
1350
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)
€377k – €877k

Trajectory drivers: changed club; relative output down 63% vs positional peers.

Historical comparables (8): median 2-year value change -24% (IQR -50% to +19%).

Risk profile

Overall: High

  • ⚠Limited sample: 1462 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).
  • ⚠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 LigaDM23146254%010.060.09135012120.56
2024/25FC Khimki (-2025)Premier LigaDM17134350%120.200.25132012040.55
2019/20PFK Tambov (-2021)Premier LigaRM8994%000.000.55143112850.63
2018/19PFK CSKA MoskvaPremier LigaDM51395%000.000.06144315470.69
2017/18PFK CSKA MoskvaPremier LigaDM5903%000.000.07145115960.75

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupAkron Togliatti421301—
2024/25Russian CupFC Khimki (-2025)321002—
2018/19Russian Super CupPFK CSKA Moskva153101516
2018/19Uefa Champions LeaguePFK CSKA Moskva246001661
2017/18Russian CupPFK CSKA Moskva112000—
2017/18Uefa Europa LeaguePFK CSKA Moskva17001666
2017/18Uefa Champions LeaguePFK CSKA Moskva11001787
2016/17Russian CupPFK CSKA Moskva19000—

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
Ederson Tormena
Jupiler Pro League · 2013
27€700k€300kfell
Andrey Mendel
Premier Liga · 2023
28€600k€800krose
Vladislav Kamilov
Premier Liga · 2022
27€800k€800kflat
Yusuf Erdoğan
Super Lig · 2019
27€900k€1.8Mrose
Brice Dja Djedje
Super Lig · 2019
29€700k€400kfell
Branko Jovicic
Premier Liga · 2021
28€1.5M€800kfell
Youssef Aït Bennasser
Super Lig · 2024
28€700k€800kflat
Vasco Rocha
Liga Portugal · 2017
28€800k€200kfell

Transfer history

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

DateFromToFeeMV at time
18 Jul 2025Torpedo MoscowAkron Tolyatti€440k€1.0M
10 Jan 2025KhimkiTorpedo Moscow€500k€1.0M
1 Jul 2023Alania Vl.KhimkiFree / loan€750k
1 Aug 2020CSKA MoscowAlania Vl.€230k€450k
1 Jun 2020TambovCSKA MoscowFree / loan€525k
25 Jan 2019CSKA MoscowTambovFree / loan€700k
1 Jul 2018CSKA Moscow IICSKA MoscowUnknown€450k
31 Aug 2015CSKA U17CSKA Moscow IIUnknownData unavailable
1 Jul 2014Yunost VKZCSKA 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.