Raymond Owusu
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Raymond Owusu's performance-implied value at EUR 0.2M-0.5M, above the estimated acquisition range of EUR 0.0M-0.1M. Its 24-month market value projection is EUR 0.2M-0.4M. Context-adjusted goal contributions are 1.03x the positional average in the league (1284 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: Contract ends within 6 months: can sign a pre-contract; small or no fee.
Bargain Index: 98
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 2.2th pct among ATT peers (age-neutral) |
| Age | Neutral | 24.2 years |
| Acquisition cost | Very favorable | est. €22k vs market €300k |
| Expected appreciation | Neutral | +0% over ~2 years (model) |
| Value gap | Very large | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.25 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | 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
- 1284 (48% of available)
- Goals + assists / 90
- 0.28
- Context-adjusted G+A / 90
- 0.52
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 2 (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)
- 1042
- Opponent strength
- 1180
- 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)
- €219k – €415k
Historical comparables (8): median 2-year value change -27% (IQR -37% to +19%).
Risk profile
Overall: High
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ⚠Limited sample: 1284 league minutes last season.
- ⚠No continental-competition minutes last season.
- ⚠Contract ends in 6 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 | FC Kudrivka | Premier Liga | ST | 23 | 1284 | 48% | 1 | 3 | 0.28 | 0.52 | 1180 | 1042 | 0.25 |
| 2023/24 | TOV FK Metalist 1925 Kharkiv | Premier Liga | ST | 11 | 375 | 14% | 1 | 1 | 0.48 | 0.85 | 1281 | 1061 | 0.34 |
| 2022/23 | Istanbulspor | Super Lig | LW | 1 | 30 | 1% | 0 | 0 | 0.00 | 0.57 | 1363 | 1231 | 0.50 |
| 2021/22 | Zorya Lugansk | Premier Liga | ST | 13 | 106 | 7% | 4 | 0 | 3.40 | 0.68 | 1304 | 1426 | 0.45 |
| 2020/21 | Zorya Lugansk | Premier Liga | ST | 1 | 14 | 1% | 0 | 0 | 0.00 | 0.41 | 1281 | 1450 | 0.49 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2021/22 | Ukrainian Cup | Zorya Lugansk | 1 | 91 | 0 | 0 | — |
| 2021/22 | Uefa Europa League Qualifying | Zorya Lugansk | 1 | 6 | 0 | 0 | 1449 |
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 |
|---|---|---|---|---|
| Oleksiy Sydorov Premier Liga · 2024 | 23 | €400k | €100k | fell |
| Bruce Anderson Scottish Premiership · 2024 | 26 | €550k | €300k | fell |
| Vladyslav Vakula Premier Liga · 2024 | 25 | €300k | €200k | fell |
| Rostyslav Taranukha Premier Liga · 2024 | 27 | €300k | €200k | fell |
| Yevgen Pidlepenets Premier Liga · 2023 | 25 | €300k | €600k | rose |
| Hilal El-Helwe Super League 1 · 2019 | 25 | €250k | €200k | fell |
| Mykola Gayduchyk Premier Liga · 2024 | 25 | €300k | €1.0M | rose |
| Jonathan Morsay Super League 1 · 2022 | 25 | €400k | €400k | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 30 Jun 2026 | FC Kudrivka | Metalist 1925 | Free / loan | €300k |
| 5 Sept 2025 | Metalist 1925 | FC Kudrivka | Free / loan | €200k |
| 30 Jun 2025 | SV Horn | Metalist 1925 | Free / loan | €200k |
| 6 Feb 2025 | Metalist 1925 | SV Horn | Free / loan | €150k |
| 1 Dec 2023 | Without Club | Metalist 1925 | Unknown | €250k |
| 1 Jul 2023 | Istanbulspor | Without Club | Unknown | €250k |
| 17 Aug 2022 | Zorya Lugansk | Istanbulspor | Free / loan | €400k |
| 1 Jul 2021 | Zorya II | Zorya Lugansk | Unknown | €25k |
| 1 Mar 2021 | Gold Coast FA | Zorya II | Free / loan | €25k |
| 28 Feb 2021 | Asokwa FC | Gold Coast FA | Free / loan | €25k |
| 1 Jul 2020 | Gold Coast FA | Asokwa FC | Free / loan | 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.