Christopher Wooh
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Christopher Wooh's performance-implied value at EUR 1.8M-5.5M, below the estimated acquisition range of EUR 2.8M-6.4M. Its 24-month market value projection is EUR 2.2M-6.5M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 27
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 56.5th pct among DEF peers (age-neutral) |
| Age | Neutral | 24.8 years |
| Acquisition cost | Neutral | est. €4.4M vs market €5.0M |
| Expected appreciation | Very low | -26% over ~2 years (model) |
| Value gap | Negative | weak predictor on its own |
| Development | Moderate | |
| League translation | Moderate | league coefficient 0.56 |
| 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 1268 evaluated DEF players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1687 (55% of available)
- Goals + assists / 90
- 0.11
- Context-adjusted G+A / 90
- 0.08
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 57 (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 5)
- Team strength (Elo)
- 1446
- 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)
- €2.2M – €6.5M
Trajectory drivers: changed club; league level down (-118 Elo); relative output up 158% vs positional peers.
Historical comparables (8): median 2-year value change -28% (IQR -40% to +62%).
Risk profile
Overall: High
- ⚠Limited sample: 1687 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
- 25 (DEF)
- Relative output kept
- 48%–200%
- Held a regular role (900+ min)
- 72%
- 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.
| 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 | FK Spartak Moskva | Premier Liga | CB | 19 | 1623 | 60% | 2 | 0 | 0.11 | 0.08 | 1323 | 1443 | 0.56 |
| 2025/26 | Stade Rennais FC | Ligue 1 | CB | 2 | 64 | 2% | 0 | 0 | 0.00 | 0.09 | 1519 | 1520 | 0.88 |
| 2024/25 | Stade Rennais FC | Ligue 1 | CB | 20 | 1457 | 48% | 0 | 0 | 0.00 | 0.03 | 1470 | 1450 | 0.88 |
| 2023/24 | Stade Rennais FC | Ligue 1 | CB | 18 | 1388 | 45% | 1 | 0 | 0.06 | 0.06 | 1471 | 1507 | 0.87 |
| 2022/23 | Stade Rennais FC | Ligue 1 | CB | 13 | 1006 | 29% | 0 | 1 | 0.09 | 0.06 | 1454 | 1562 | 0.82 |
| 2022/23 | RC Lens | Ligue 1 | CB | 1 | 3 | 0% | 0 | 0 | 0.00 | 0.05 | 1359 | 1626 | 0.82 |
| 2021/22 | RC Lens | Ligue 1 | CB | 14 | 1050 | 31% | 0 | 2 | 0.17 | 0.14 | 1453 | 1492 | 0.86 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Russian Cup | FK Spartak Moskva | 7 | 567 | 1 | 0 | — |
| 2025/26 | Africa Cup Of Nations | Cameroon | 2 | 59 | 0 | 0 | — |
| 2023/24 | Uefa Europa League | Stade Rennais FC | 3 | 270 | 0 | 0 | 1486 |
| 2022/23 | Uefa Europa League | Stade Rennais FC | 1 | 90 | 1 | 0 | 1461 |
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 |
|---|---|---|---|---|
| Semih Kaya Super Lig · 2016 | 25 | €5.8M | €2.5M | fell |
| Fabrice N'Sakala Jupiler Pro League · 2015 | 25 | €2.0M | €1.4M | fell |
| Jeremiah St. Juste Eredivisie · 2019 | 23 | €7.5M | €16.0M | rose |
| Bakhtiyor Zaynutdinov Premier Liga · 2021 | 23 | €3.5M | €6.0M | rose |
| Moritz Jenz Bundesliga · 2023 | 24 | €7.5M | €5.0M | fell |
| Dmitriy Skopintsev Premier Liga · 2021 | 24 | €4.0M | €3.0M | fell |
| Björn Engels Super League 1 · 2018 | 24 | €6.0M | €9.5M | rose |
| Tayyip Talha Sanuç Super Lig · 2023 | 24 | €4.8M | €2.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 5 Sept 2025 | Stade Rennais | Spartak Moscow | Free / loan | €6.0M |
| 1 Sept 2022 | Lens | Stade Rennais | €9.0M | €3.0M |
| 1 Jul 2021 | AS Nancy | Lens | Free / loan | €600k |
| 1 Feb 2021 | AS Nancy B | AS Nancy | Unknown | €150k |
| 1 Jul 2018 | AS Nancy U17 | AS Nancy B | Unknown | Data unavailable |
| 1 Jul 2016 | Chantilly Jgd | AS Nancy U17 | 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.