
Dakonam Djené
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Dakonam Djené's performance-implied value at EUR 0.9M-2.0M, above the estimated acquisition range of EUR 0.5M-1.3M. Its 24-month market value projection is EUR 0.3M-1.1M. 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: not assigned
What drives the score. Not a black box: each component and its level.
Age above 33 (outside validated pool)
| Performance | High | 79.5th pct among DEF peers (age-neutral) |
| Age | Unfavorable | 34.5 years |
| Acquisition cost | Very favorable | est. €615k vs market €1.4M |
| Expected appreciation | Very low | -50% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 0.95 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Moderate | |
| 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
- 2585 (76% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.03
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 80 (High)
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
- 0.95 (rank 2)
- Team strength (Elo)
- 1446
- Opponent strength
- 1497
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- stable
- Breakout probability
- Age > 23
- Resale range (24m)
- €347k – €1.1M
Historical comparables (8): median 2-year value change -59% (IQR -68% to -44%).
Risk profile
Overall: Moderate
- ▲Age 34: resale value typically declines.
- ⚠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).
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 | Getafe CF | Laliga | CB | 34 | 2585 | 76% | 0 | 0 | 0.00 | 0.03 | 1497 | 1446 | 0.95 |
| 2024/25 | Getafe CF | Laliga | CB | 31 | 2553 | 75% | 0 | 0 | 0.00 | 0.02 | 1522 | 1395 | 0.95 |
| 2023/24 | Getafe CF | Laliga | CB | 33 | 2491 | 73% | 0 | 0 | 0.00 | 0.02 | 1482 | 1415 | 1.00 |
| 2022/23 | Getafe CF | Laliga | CB | 33 | 2843 | 83% | 0 | 1 | 0.03 | 0.05 | 1524 | 1434 | 0.98 |
| 2021/22 | Getafe CF | Laliga | CB | 35 | 3117 | 91% | 0 | 1 | 0.03 | 0.05 | 1526 | 1458 | 1.05 |
| 2020/21 | Getafe CF | Laliga | CB | 34 | 2945 | 86% | 0 | 2 | 0.06 | 0.07 | 1555 | 1471 | 1.10 |
| 2019/20 | Getafe CF | Laliga | CB | 34 | 3060 | 89% | 0 | 0 | 0.00 | 0.02 | 1542 | 1579 | 1.16 |
| 2018/19 | Getafe CF | Laliga | CB | 34 | 2981 | 87% | 0 | 1 | 0.03 | 0.04 | 1543 | 1583 | 1.14 |
| 2017/18 | Getafe CF | Laliga | CB | 36 | 3240 | 95% | 1 | 0 | 0.03 | 0.05 | 1558 | 1503 | 1.11 |
| 2016/17 | Sint-Truidense VV | Jupiler Pro League | RB | 19 | 1554 | 58% | 0 | 0 | 0.00 | 0.06 | 1352 | 1257 | 0.62 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2024/25 | Copa Del Rey | Getafe CF | 4 | 199 | 0 | 0 | — |
| 2023/24 | Copa Del Rey | Getafe CF | 1 | 90 | 0 | 0 | — |
| 2022/23 | Copa Del Rey | Getafe CF | 3 | 275 | 0 | 0 | — |
| 2020/21 | Copa Del Rey | Getafe CF | 2 | 84 | 0 | 0 | — |
| 2019/20 | Uefa Europa League | Getafe CF | 7 | 630 | 0 | 0 | 1590 |
| 2019/20 | Copa Del Rey | Getafe CF | 1 | 90 | 0 | 0 | — |
| 2018/19 | Copa Del Rey | Getafe CF | 4 | 275 | 0 | 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 |
|---|---|---|---|---|
| Ismaël Traoré Ligue 1 · 2020 | 34 | €1.2M | €600k | fell |
| Bostjan Cesar Serie A · 2015 | 33 | €800k | €300k | fell |
| Jérémy Sorbon Ligue 1 · 2018 | 35 | €1.0M | €250k | fell |
| Mikael Antonsson Serie A · 2013 | 32 | €1.1M | €500k | fell |
| Loïc Perrin Ligue 1 · 2020 | 35 | €1.2M | €1.2M | flat |
| Makoto Hasebe Bundesliga · 2018 | 34 | €1.0M | €800k | fell |
| Maurizio Domizzi Serie A · 2014 | 34 | €600k | €200k | fell |
| Metin Depe Super Lig · 2013 | 32 | €700k | €200k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 24 Jul 2017 | Sint-Truiden | Getafe | €2.5M | €800k |
| 1 Jul 2016 | AD Alcorcón | Sint-Truiden | Unknown | €500k |
| 25 Oct 2014 | Coton Sport FC | AD Alcorcón | Unknown | €200k |
| 1 Jul 2011 | Tonnerre | Coton Sport FC | Unknown | Data unavailable |
| 1 Jul 2009 | Etoile Filante | Tonnerre | 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.