Ambrosiy Chachua

32 yrs · Attacking midfielder (also DM, LM) · Ukraine
Karpaty Lviv · Premier Liga · Foot: right · Height: 171 cm
Risk: Very HighConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2028
Market value
€500k
Updated today
Estimated acquisition
€137k – €432k
Estimated · 20–80% range
Model value
€334k – €603k
Performance-implied · estimated
Projected (24m)
€108k – €390k
Resale range · estimated
Potential value gap
-€98k – €466k
Model value − acquisition

Value picture

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

Estimated acquisition€137k – €432k
Model value (performance-implied)€334k – €603k
Projected value (24 months)€108k – €390k
Dashed line: current market value (€500k). Bars are 20–80% model ranges; tick = median.

The model rates Ambrosiy Chachua's performance-implied value at EUR 0.3M-0.6M, above the estimated acquisition range of EUR 0.1M-0.4M. Its 24-month market value projection is EUR 0.1M-0.4M. Context-adjusted goal contributions are 0.62x the positional average in the league (2477 minutes, league coefficient 0.25). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 42

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

PerformanceBelow average34.4th pct among MID peers (age-neutral)
AgeUnfavorable32.2 years
Acquisition costVery favorableest. €271k vs market €500k
Expected appreciationVery low-49% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.25
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: €700k

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
2477 (92% of available)
Goals + assists / 90
0.18
Context-adjusted G+A / 90
0.25
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
34 (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
0.25 (rank 30)
Team strength (Elo)
1213
Opponent strength
1173
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)
€108k – €390k

Trajectory drivers: relative output down 61% vs positional peers.

Historical comparables (8): median 2-year value change -40% (IQR -59% to -31%).

Risk profile

Overall: Very High

  • ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
  • ▲Age 32: resale value typically declines.
  • ⚠No continental-competition minutes last season.
  • ⚠Projection range wider than for most evaluated players.
  • ⚠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
37 (all positions)
Relative output kept
87%–128%
Held a regular role (900+ min)
86%
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.
2025/26Karpaty LvivPremier LigaAM30247792%320.180.25117312130.25
2024/25Karpaty LvivPremier LigaAM29243090%1060.590.62121411850.28
2017/18Karpaty Lviv (-2021)Premier LigaLM1380040%100.110.28135012650.62
2016/17Karpaty Lviv (-2021)Premier LigaAM30172460%410.260.35134712570.56
2015/16Karpaty Lviv (-2021)Premier LigaDM1682135%200.220.18137312640.54
2014/15Karpaty Lviv (-2021)Premier LigaDM20129956%000.000.08140212550.54
2013/14Karpaty Lviv (-2021)Premier LigaDM1180131%010.110.14143413060.63

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Ukrainian CupKarpaty Lviv11800—
2024/25Ukrainian CupKarpaty Lviv211510—
2016/17Ukrainian CupKarpaty Lviv (-2021)19000—
2015/16Ukrainian CupKarpaty Lviv (-2021)112010—
2014/15Ukrainian CupKarpaty Lviv (-2021)212200—

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
Eric Larsson
Super League 1 · 2023
32€600k€450kfell
Valeriy Kucherov
Premier Liga · 2024
31€400k€200kfell
Sebastian Mladen
Super League 1 · 2023
32€600k€350kfell
Gennadiy Pasich
Premier Liga · 2023
30€400k€300kfell
Jorge Díaz
Super League 1 · 2021
32€300k€200kfell
Joe Newell
Scottish Premiership · 2024
31€850k€200kfell
Ismail Aissati
Super Lig · 2020
32€600k€100kfell
John Rankin
Scottish Premiership · 2015
32€450k€275kfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2021Volyn LutskKarpaty LvivFree / loan€200k
20 Jul 2019Torpedo KutaisiVolyn LutskFree / loan€250k
10 Jan 2019AkzhayikTorpedo KutaisiUnknown€400k
31 Jul 2018Karpaty LvivAkzhayikFree / loan€400k
1 Jan 2014Karpaty IIKarpaty LvivUnknownData unavailable
1 Jul 2011UFK LvivKarpaty 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.