Nikita Krivtsov

24 yrs · Attacking midfielder (also CM) · Russia
FK Krasnodar · Premier Liga · Foot: right · Height: 186 cm
Risk: Very HighConfidence: MediumSample: MediumDevelopment: ModerateContract: until 30 Jun 2029
Market value
€7.5M
Updated 6 days ago
Estimated acquisition
€5.5M – €10.9M
Estimated · 20–80% range
Model value
€3.3M – €11.9M
Performance-implied · estimated
Projected (24m)
€3.9M – €15.9M
Resale range · estimated
Potential value gap
-€7.6M – €6.3M
Model value − acquisition

Value picture

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

Estimated acquisition€5.5M – €10.9M
Model value (performance-implied)€3.3M – €11.9M
Projected value (24 months)€3.9M – €15.9M
Dashed line: current market value (€7.5M). Bars are 20–80% model ranges; tick = median.

The model rates Nikita Krivtsov's performance-implied value at EUR 3.3M-11.9M, below the estimated acquisition range of EUR 5.5M-10.9M. Its 24-month market value projection is EUR 3.9M-15.9M. Context-adjusted goal contributions are 1.26x the positional average in the league (1489 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: 55

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

PerformanceAbove average65.3th pct among MID peers (age-neutral)
AgeFavorable23.9 years
Acquisition costNeutralest. €7.6M vs market €7.5M
Expected appreciationNeutral+5% over ~2 years (model)
Value gapNegativeweak 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 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: €7.5M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1489 (55% of available)
Goals + assists / 90
0.48
Context-adjusted G+A / 90
0.28
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
65 (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)
1536
Opponent strength
1323
Possession, role
Data unavailable

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

Potential

Development
Moderate
Trajectory
improving
Breakout probability
Age > 23
Resale range (24m)
€3.9M – €15.9M

Trajectory drivers: role change AM -> CM; relative output up 61% vs positional peers.

Historical comparables (8): median 2-year value change -5% (IQR -18% to +17%).

Risk profile

Overall: Very High

  • ▲Projection range among the widest 10% of evaluated players.
  • ⚠Limited sample: 1489 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).
  • ⓘ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.
2025/26FK KrasnodarPremier LigaCM29148955%710.480.28132315360.56
2024/25FK KrasnodarPremier LigaAM27117243%510.460.31127515110.55
2023/24FK KrasnodarPremier LigaAM30165861%200.110.17131414050.49
2022/23FK KrasnodarPremier LigaAM20128548%630.630.39131014050.53
2021/22FK KrasnodarPremier LigaAM20105939%210.250.27133313710.52

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupFK Krasnodar972324—
2025/26Russian Super CupFK Krasnodar178001478
2024/25Russian CupFK Krasnodar753500—
2024/25Russian Super CupFK Krasnodar183111491
2023/24Russian CupFK Krasnodar524110—
2022/23Russian CupFK Krasnodar638620—
2021/22Russian CupFK Krasnodar213500—
2021/22Russian CupTorpedo Vladimir18110—

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
Rodrigo Zalazar
Liga Portugal · 2024
25€12.0M€30.0Mrose
Dorukhan Toköz
Super Lig · 2019
23€5.5M€4.7Mflat
Pajtim Kasami
Super League 1 · 2015
23€5.5M€5.0Mflat
Andreas Skov Olsen
Jupiler Pro League · 2023
24€14.0M€14.0Mflat
Ryan Christie
Scottish Premiership · 2020
25€4.8M€9.0Mrose
Luciano Narsingh
Eredivisie · 2013
23€7.0M€5.0Mfell
Anton Miranchuk
Premier Liga · 2021
26€12.0M€5.0Mfell
Jorge Carrascal
Premier Liga · 2023
25€7.0M€7.0Mflat

Transfer history

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

DateFromToFeeMV at time
14 Aug 2021Torpedo VladimirKrasnodar€90k€400k
30 Jun 2021Tom TomskTorpedo VladimirFree / loan€400k
18 Feb 2021Torpedo VladimirTom TomskFree / loan€150k
24 Jul 2020MuromTorpedo VladimirFree / loanData unavailable
21 Feb 2020Sokol MoskauMuromFree / loanData unavailable
29 Nov 2018DFK TSSokol MoskauFree / 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.