
Artem Slesar
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Artem Slesar's performance-implied value at EUR 0.5M-1.3M, above the estimated acquisition range of EUR 0.3M-0.8M. Its 24-month market value projection is EUR 0.5M-2.3M. Context-adjusted goal contributions are 0.89x the positional average in the league (2342 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.
Acquisition note: Final year of contract: selling club's leverage is reduced.
Bargain Index: 100
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 15.9th pct among ATT peers (age-neutral) |
| Age | Favorable | 21.5 years |
| Acquisition cost | Very favorable | est. €364k vs market €800k |
| Expected appreciation | High | +34% over ~2 years (model) |
| Value gap | Very large | weak predictor on its own |
| Development | Moderate | breakout probability 19% |
| League translation | Uncertain | league coefficient 0.25 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Very High | |
| Data confidence | Medium |
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.
Profile vs positional peers
Percentiles among 900 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 2342 (87% of available)
- Goals + assists / 90
- 0.31
- Context-adjusted G+A / 90
- 0.35
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 16 (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)
- 1192
- Opponent strength
- 1168
- 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
- 19%
- Resale range (24m)
- €532k – €2.3M
Trajectory drivers: minutes share up 46 pts.
Historical comparables (8): median 2-year value change +12% (IQR -39% to +102%).
Risk profile
Overall: Very High
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ▲Projection range among the widest 10% of evaluated players.
- ⚠No continental-competition minutes last season.
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⓘ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 (ATT)
- Relative output kept
- 87%–104%
- Held a regular role (900+ min)
- 94%
- 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.
| Season | Club | League | Pos | Apps | Min | Min share | G | A | G+A/90 | Adj. G+A/90 | Opp. Elo | Team Elo | League str. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025/26 | Zorya Lugansk | Premier Liga | RW | 30 | 2342 | 87% | 3 | 5 | 0.31 | 0.35 | 1168 | 1192 | 0.25 |
| 2024/25 | Zorya Lugansk | Premier Liga | RW | 19 | 1093 | 40% | 1 | 2 | 0.25 | 0.38 | 1203 | 1182 | 0.28 |
| 2023/24 | Zorya Lugansk | Premier Liga | RW | 4 | 128 | 5% | 0 | 0 | 0.00 | 0.32 | 1198 | 1235 | 0.34 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Ukrainian Cup | Zorya Lugansk | 1 | 90 | 0 | 0 | — |
| 2024/25 | Ukrainian Cup | Zorya Lugansk | 2 | 156 | 1 | 0 | — |
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) | Age | Value then | ~2y later | Outcome |
|---|---|---|---|---|
| Juan José Perea Super League 1 · 2022 | 22 | €1.2M | €800k | fell |
| Eduardo Guerrero Premier Liga · 2024 | 24 | €1.2M | €2.5M | rose |
| Fiorin Durmishaj Super League 1 · 2019 | 23 | €900k | €500k | fell |
| Edgar Babayan Superliga · 2020 | 25 | €475k | €300k | fell |
| Emil Riis Superliga · 2020 | 22 | €525k | €4.5M | rose |
| Callum Paterson Scottish Premiership · 2014 | 20 | €225k | €450k | rose |
| Saba Lobjanidze Superliga · 2019 | 25 | €800k | €1.5M | rose |
| Georgios Giakoumakis Super League 1 · 2017 | 23 | €800k | €400k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2025 | Dynamo Kyiv U19 | Zorya Lugansk | €300k | €600k |
| 30 Jun 2025 | Zorya Lugansk | Dynamo Kyiv U19 | Free / loan | €600k |
| 2 Aug 2023 | Dynamo Kyiv U19 | Zorya Lugansk | Free / loan | Data unavailable |
| 1 Jan 2021 | Dynamo Kyiv U17 | Dynamo Kyiv U19 | Unknown | Data 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.