
Daniel Anyembe
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Daniel Anyembe's performance-implied value at EUR 0.4M-0.9M, below the estimated acquisition range of EUR 0.6M-2.3M. Its 24-month market value projection is EUR 0.9M-2.2M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 71
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 23.2th pct among DEF peers (age-neutral) |
| Age | Neutral | 27.9 years |
| Acquisition cost | Very favorable | est. €1.2M vs market €2.0M |
| Expected appreciation | Very low | -27% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.47 |
| 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
- 1723 (87% 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
- 23 (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
- 0.47 (rank 12)
- Team strength (Elo)
- 1286
- Opponent strength
- 1272
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- declining
- Breakout probability
- Age > 23
- Resale range (24m)
- €935k – €2.2M
Trajectory drivers: team strength up (+64 Elo); league level up (+45 Elo); role change LB -> CB; relative output down 65% vs positional peers.
Historical comparables (8): median 2-year value change -42% (IQR -47% to -28%).
Risk profile
Overall: High
- ⚠Limited sample: 1723 league minutes last season.
- ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⚠Declining trajectory versus previous season.
- ⓘ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
- 24 (DEF)
- Relative output kept
- 60%–139%
- Held a regular role (900+ min)
- 71%
- 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 | Viborg FF | Superliga | CB | 21 | 1723 | 87% | 0 | 0 | 0.00 | 0.03 | 1272 | 1286 | 0.47 |
| 2024/25 | Viborg FF | Superliga | LB | 21 | 1874 | 95% | 1 | 2 | 0.14 | 0.15 | 1306 | 1222 | 0.38 |
| 2023/24 | Viborg FF | Superliga | CB | 14 | 1095 | 55% | 0 | 0 | 0.00 | 0.03 | 1280 | 1261 | 0.48 |
| 2022/23 | Viborg FF | Superliga | RB | 12 | 904 | 46% | 0 | 0 | 0.00 | 0.06 | 1338 | 1327 | 0.47 |
| 2021/22 | Viborg FF | Superliga | RB | 11 | 667 | 34% | 0 | 0 | 0.00 | 0.06 | 1290 | 1234 | 0.45 |
| 2019/20 | Esbjerg fB | Superliga | RB | 22 | 1900 | 81% | 0 | 2 | 0.09 | 0.13 | 1274 | 1137 | 0.41 |
| 2018/19 | Esbjerg fB | Superliga | RB | 18 | 1455 | 62% | 0 | 1 | 0.06 | 0.10 | 1316 | 1239 | 0.44 |
| 2016/17 | Esbjerg fB | Superliga | CB | 1 | 45 | 2% | 0 | 0 | 0.00 | 0.12 | 1439 | 1206 | 0.48 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Oddset Pokalen | Viborg FF | 5 | 475 | 0 | 0 | — |
| 2024/25 | Oddset Pokalen | Viborg FF | 4 | 303 | 0 | 0 | — |
| 2023/24 | Oddset Pokalen | Viborg FF | 1 | 90 | 0 | 0 | — |
| 2022/23 | Oddset Pokalen | Viborg FF | 5 | 344 | 0 | 0 | — |
| 2022/23 | Uefa Conference League Qualifying | Viborg FF | 4 | 236 | 0 | 0 | 1298 |
| 2021/22 | Oddset Pokalen | Viborg FF | 1 | 120 | 0 | 0 | — |
| 2019/20 | Oddset Pokalen | Esbjerg fB | 2 | 180 | 0 | 0 | — |
| 2019/20 | Uefa Europa League Qualifying | Esbjerg fB | 2 | 180 | 0 | 0 | 1396 |
| 2018/19 | Oddset Pokalen | Esbjerg fB | 2 | 132 | 1 | 0 | — |
| 2016/17 | Oddset Pokalen | Esbjerg fB | 3 | 216 | 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 |
|---|---|---|---|---|
| Dmitriy Tikhiy Premier Liga · 2021 | 29 | €1.5M | €800k | fell |
| Jores Okore Superliga · 2019 | 27 | €1.0M | €750k | fell |
| Sam Adekugbe Super Lig · 2022 | 27 | €2.0M | €1.2M | fell |
| Nihad Mujakic Super Lig · 2023 | 25 | €1.4M | €1.0M | fell |
| Miroslav Bogosavac Premier Liga · 2024 | 28 | €2.3M | €1.2M | fell |
| Artem Putivtsev Premier Liga · 2015 | 27 | €900k | €500k | fell |
| Maxime Biset Jupiler Pro League · 2013 | 27 | €1.0M | €500k | fell |
| Mark Reynolds Scottish Premiership · 2013 | 26 | €750k | €700k | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 17 Jul 2021 | Esbjerg fB | Viborg FF | Unknown | €400k |
| 1 Jul 2017 | Esbjerg fB U19 | Esbjerg fB | Unknown | €50k |
| 1 Jul 2015 | Esbjerg Youth | Esbjerg fB 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.