Timur Suleymanov

26 yrs · Striker · Russia
FK Rostov · Premier Liga · Foot: both · Height: 183 cm
Risk: ModerateConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2030
Market value
€1.5M
Updated 7 days ago
Estimated acquisition
€555k – €1.7M
Estimated · 20–80% range
Model value
€686k – €2.3M
Performance-implied · estimated
Projected (24m)
€644k – €1.9M
Resale range · estimated
Potential value gap
-€1.1M – €1.8M
Model value − acquisition

Value picture

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

Estimated acquisition€555k – €1.7M
Model value (performance-implied)€686k – €2.3M
Projected value (24 months)€644k – €1.9M
Dashed line: current market value (€1.5M). Bars are 20–80% model ranges; tick = median.

The model rates Timur Suleymanov's performance-implied value at EUR 0.7M-2.3M, above the estimated acquisition range of EUR 0.6M-1.7M. Its 24-month market value projection is EUR 0.6M-1.9M. Context-adjusted goal contributions are 0.72x the positional average in the league (1859 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: 48

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

PerformanceBelow average33.2th pct among ATT peers (age-neutral)
AgeNeutral26.3 years
Acquisition costFavorableest. €1.2M vs market €1.5M
Expected appreciationLow-18% 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.
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: €1.5M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1859 (69% of available)
Goals + assists / 90
0.24
Context-adjusted G+A / 90
0.36
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
33 (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)
1301
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
improving
Breakout probability
Age > 23
Resale range (24m)
€644k – €1.9M

Trajectory drivers: minutes share up 41 pts; changed club; team strength down (-112 Elo).

Historical comparables (8): median 2-year value change +0% (IQR -27% to +45%).

Risk profile

Overall: Moderate

  • ⚠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).
  • ⓘ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
20 (ATT)
Relative output kept
76%–104%
Held a regular role (900+ min)
50%
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.
2025/26FK RostovPremier LigaST28185969%410.240.36135013010.56
2024/25Футбольный клуб "Локомотив" МоскваPremier LigaST2974628%110.240.31129214130.55
2023/24Футбольный клуб "Локомотив" МоскваPremier LigaST2280930%721.000.63131114160.49
2023/24FK Nizhny NovgorodPremier LigaST740315%100.220.56133611640.49
2022/23FK Nizhny NovgorodPremier LigaST28180467%1010.550.58131612260.53
2021/22FK Nizhny NovgorodPremier LigaST25161860%120.170.33136212600.52
2019/20Футбольный клуб "Локомотив" МоскваPremier LigaST4994%000.000.36134214620.63

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupFK Rostov520600—
2024/25Russian CupФутбольный клуб "Локомотив" Москва1054861—
2023/24Russian CupФутбольный клуб "Локомотив" Москва633230—
2023/24Russian CupFK Nizhny Novgorod314220—
2022/23Russian CupFK Nizhny Novgorod637721—
2021/22Russian CupFK Nizhny Novgorod12800—

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
Gerso
Liga Portugal · 2016
25€1.3M€1.5Mrose
Idrissa Sylla
Jupiler Pro League · 2015
25€1.5M€2.5Mrose
David Pollet
Jupiler Pro League · 2016
28€1.0M€800kfell
Khoren Bayramyan
Premier Liga · 2019
27€1.8M€2.5Mrose
Sami
Super Lig · 2016
28€2.0M€200kfell
Rafa Lopes
Liga Portugal · 2015
24€1.2M€1.0Mflat
Edson Farias
Liga Portugal · 2018
26€600k€325kfell
Gelson Dala
Liga Portugal · 2021
25€1.5M€2.5Mrose

Transfer history

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

DateFromToFeeMV at time
1 Jul 2025Loko MoscowRostov€400k€1.2M
1 Jul 2024Pari NNLoko MoscowFree / loan€1.2M
30 Jun 2024Loko MoscowPari NNFree / loan€1.2M
14 Sept 2023Pari NNLoko MoscowFree / loan€1.0M
1 Jul 2021Loko-Kazanka M.Nizhny Novgorod€172k€500k
30 Jun 2021Nizhny NovgorodLoko-Kazanka M.Free / loan€500k
29 Jul 2020Loko-Kazanka M.Nizhny NovgorodFree / loan€350k
1 Jul 2019Loko Moscow IILoko-Kazanka M.Unknown€250k
2 Mar 2018Ak. Loko U17Loko Moscow IIUnknownData 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.