Pierrick Capelle
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Pierrick Capelle's performance-implied value at EUR 0.1M-0.3M, above the estimated acquisition range of EUR 0.0M-0.2M. Its 24-month market value projection is EUR 0.1M-0.2M. Context-adjusted goal contributions are 1.21x the positional average in the league (649 minutes, league coefficient 0.88). Confidence is low: 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: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | Average | 37.7th pct among MID peers (age-neutral) |
| Age | Unfavorable | 39.2 years |
| Acquisition cost | Very favorable | est. €89k vs market €150k |
| Expected appreciation | Low | -17% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 0.88 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Very High | |
| Data confidence | Low |
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 1164 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 649 (21% of available)
- Goals + assists / 90
- 0.14
- Context-adjusted G+A / 90
- 0.27
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 38 (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)
- 1306
- Opponent strength
- 1490
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €113k – €154k
Historical comparables (8): median 2-year value change +0% (IQR -47% to +0%).
Risk profile
Overall: Very High
- ▲Small sample: 649 league minutes last season.
- ▲Age 39: resale value typically declines.
- ⚠No continental-competition minutes last season.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘ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.
| 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 | Angers SCO | Ligue 1 | CM | 16 | 649 | 21% | 0 | 1 | 0.14 | 0.27 | 1490 | 1306 | 0.88 |
| 2024/25 | Angers SCO | Ligue 1 | CM | 16 | 475 | 16% | 0 | 0 | 0.00 | 0.21 | 1447 | 1291 | 0.88 |
| 2022/23 | Angers SCO | Ligue 1 | CM | 26 | 1425 | 42% | 0 | 3 | 0.19 | 0.33 | 1456 | 1221 | 0.82 |
| 2021/22 | Angers SCO | Ligue 1 | CM | 30 | 1187 | 35% | 0 | 2 | 0.15 | 0.22 | 1431 | 1352 | 0.86 |
| 2020/21 | Angers SCO | Ligue 1 | CM | 35 | 2052 | 60% | 3 | 3 | 0.26 | 0.31 | 1467 | 1326 | 0.75 |
| 2019/20 | Angers SCO | Ligue 1 | LM | 24 | 1747 | 69% | 1 | 2 | 0.15 | 0.27 | 1439 | 1415 | 0.82 |
| 2018/19 | Angers SCO | Ligue 1 | CM | 26 | 1844 | 54% | 3 | 3 | 0.29 | 0.31 | 1468 | 1409 | 0.82 |
| 2017/18 | Angers SCO | Ligue 1 | LM | 28 | 1894 | 55% | 2 | 1 | 0.14 | 0.14 | 1434 | 1381 | 0.85 |
| 2016/17 | Angers SCO | Ligue 1 | CM | 32 | 1751 | 51% | 2 | 1 | 0.15 | 0.22 | 1460 | 1417 | 0.88 |
| 2015/16 | Angers SCO | Ligue 1 | CM | 28 | 1256 | 37% | 4 | 0 | 0.29 | 0.23 | 1429 | 1394 | 0.78 |
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 |
|---|---|---|---|---|
| Florent Balmont Ligue 1 · 2019 | 39 | €250k | €250k | flat |
| Paolo Sammarco Serie A · 2019 | 36 | €200k | €75k | fell |
| Mathieu Bodmer Ligue 1 · 2019 | 37 | €250k | €250k | flat |
| Luciano Serie A · 2013 | 38 | €200k | €200k | flat |
| Aleksey Ivanov Premier Liga · 2016 | 35 | €150k | €150k | flat |
| Pantxi Sirieix Ligue 1 · 2015 | 35 | €250k | €150k | fell |
| Vítor Gomes Liga Portugal · 2023 | 36 | €100k | €100k | flat |
| Cyril Jeunechamp Ligue 1 · 2013 | 38 | €250k | €50k | 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 2026 | Angers SCO | Retired | Unknown | €150k |
| 1 Jul 2015 | Clermont Foot | Angers SCO | Free / loan | €400k |
| 1 Jul 2012 | US Quevilly | Clermont Foot | Free / loan | Data unavailable |
| 1 Jul 2011 | CS Avion | US Quevilly | Free / loan | Data unavailable |
| 1 Jul 2008 | Stade Héninois | CS Avion | Free / loan | Data unavailable |
| 1 Jul 2007 | L'Aumône | Stade Héninois | Free / loan | Data unavailable |
| 1 Jul 2006 | Conflans | L'Aumône | Free / loan | Data unavailable |
| 1 Jul 2005 | ES Herblay | Conflans | 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.