Giorgi Tsitaishvili

25 yrs · Left winger (also RW) · Georgia
FC Metz · Ligue 1 · Foot: left · Height: 171 cm
Risk: LowConfidence: MediumSample: HighDevelopment: LowContract: Data unavailable
Market value
€3.0M
Updated 6 days ago
Estimated acquisition
€1.1M – €3.9M
Estimated · 20–80% range
Model value
€912k – €4.7M
Performance-implied · estimated
Projected (24m)
€1.6M – €4.3M
Resale range · estimated
Potential value gap
-€2.9M – €3.6M
Model value − acquisition

Value picture

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

Estimated acquisition€1.1M – €3.9M
Model value (performance-implied)€912k – €4.7M
Projected value (24 months)€1.6M – €4.3M
Dashed line: current market value (€3.0M). Bars are 20–80% model ranges; tick = median.

The model rates Giorgi Tsitaishvili's performance-implied value at EUR 0.9M-4.7M, above the estimated acquisition range of EUR 1.1M-3.9M. Its 24-month market value projection is EUR 1.6M-4.3M. Context-adjusted goal contributions are 0.91x the positional average in the league (2459 minutes, league coefficient 0.88). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Acquisition note: Contract end date unavailable: range widened by 15% each side.

Bargain Index: 63

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

PerformanceAverage44.2th pct among ATT peers (age-neutral)
AgeNeutral25.6 years
Acquisition costFavorableest. €2.3M vs market €3.0M
Expected appreciationLow-14% over ~2 years (model)
Value gapSmallweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 0.88
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskLow
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: €3.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
2459 (80% of available)
Goals + assists / 90
0.18
Context-adjusted G+A / 90
0.37
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
44 (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
0.88 (rank 5)
Team strength (Elo)
1225
Opponent strength
1479
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
insufficient
Breakout probability
Age > 23
Resale range (24m)
€1.6M – €4.3M

Historical comparables (8): median 2-year value change -35% (IQR -44% to -13%).

Risk profile

Overall: Low

  • ⚠No continental-competition minutes last season.
  • ⓘContract end date unavailable (or stale in source).
  • ⓘ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).

Already playing in a big-five league.

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.
2025/26FC MetzLigue 1LW33245980%320.180.37147912250.88
2020/21Vorskla PoltavaPremier LigaRW423010%100.390.37122412910.49
2020/21Dynamo KyivPremier LigaRW41255%000.000.19120715630.49
2019/20Dynamo KyivPremier LigaRW3201%000.000.32135914970.54
2018/19Dynamo KyivPremier LigaLW1201%000.000.38144315280.57

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2019/20Ukrainian CupDynamo Kyiv16000—
2019/20Uefa Europa LeagueDynamo Kyiv126011379
2018/19Uefa Europa LeagueDynamo Kyiv130001365
2017/18Ukrainian CupDynamo Kyiv1400—

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
Mounaïm El Idrissy
Ligue 1 · 2023
24€2.0M€700kfell
Bogdan Stancu
Super Lig · 2013
26€3.5M€4.5Mrose
Ilija Nestorovski
Serie A · 2017
27€3.5M€4.0Mflat
Djamel Bakar
Ligue 1 · 2013
24€2.5M€1.5Mfell
Diogo Viana
Liga Portugal · 2015
25€1.7M€1.0Mfell
Steve Mounié
Ligue 1 · 2021
27€7.0M€5.0Mfell
Emmanuel Gyasi
Serie A · 2021
27€2.5M€2.0Mfell
Anton Shynder
Premier Liga · 2013
26€1.7M€800kfell

Transfer history

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

DateFromToFeeMV at time
30 Jun 2026FC MetzDynamo KyivFree / loan€3.0M
11 Jul 2025Dynamo KyivFC MetzFree / loan€2.0M
30 Jun 2025Granada CFDynamo KyivFree / loan€2.0M
26 Jul 2024Dynamo KyivGranada CFFree / loan€800k
30 Jun 2024Dinamo BatumiDynamo KyivFree / loan€800k
4 Jul 2023Dynamo KyivDinamo BatumiFree / loan€600k
30 Jun 2023Lech PoznanDynamo KyivFree / loan€600k
1 Jul 2022Dynamo KyivLech PoznanFree / loan€1.0M
30 Jun 2022Wisla KrakówDynamo KyivFree / loan€1.0M
6 Apr 2022Dynamo KyivWisla KrakówFree / loan€1.0M
5 Apr 2022ChornomoretsDynamo KyivFree / loan€1.0M
21 Jul 2021Dynamo KyivChornomoretsFree / loan€1.2M
30 Jun 2021Vorskla PoltavaDynamo KyivFree / loan€1.2M
1 Jan 2021Dynamo KyivVorskla PoltavaFree / loan€1.5M
1 Jul 2019Dynamo Kyiv IIDynamo KyivUnknown€1.0M
1 Jul 2017Dynamo Kyiv U19Dynamo Kyiv IIUnknownData unavailable
1 Jan 2017Dynamo Kyiv U17Dynamo Kyiv U19UnknownData unavailable
1 Jul 2011Anorthosis U21Dynamo Kyiv 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.