Dirk Proper
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Dirk Proper's performance-implied value at EUR 0.7M-1.8M, above the estimated acquisition range of EUR 0.4M-1.5M. Its 24-month market value projection is EUR 0.7M-2.4M. Context-adjusted goal contributions are 1.10x the positional average in the league (1036 minutes, league coefficient 0.43). 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: 95
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 28.1th pct among MID peers (age-neutral) |
| Age | Neutral | 24.3 years |
| Acquisition cost | Very favorable | est. €534k vs market €1.5M |
| Expected appreciation | Neutral | -9% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.43 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Very 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 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1036 (34% of available)
- Goals + assists / 90
- 0.26
- Context-adjusted G+A / 90
- 0.14
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 28 (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
- 0.43 (rank 15)
- Team strength (Elo)
- 1362
- Opponent strength
- 1293
- 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)
- €721k – €2.4M
Trajectory drivers: minutes share down 37 pts; relative output up 131% vs positional peers.
Historical comparables (8): median 2-year value change +6% (IQR -47% to +140%).
Risk profile
Overall: Very High
- ⚠Limited sample: 1036 league minutes last season.
- ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⚠Projection range wider than for most evaluated players.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘ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
- 53 (MID)
- Relative output kept
- 76%–148%
- Held a regular role (900+ min)
- 68%
- 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 | NEC Nijmegen | Eredivisie | DM | 22 | 1036 | 34% | 3 | 0 | 0.26 | 0.14 | 1293 | 1362 | 0.43 |
| 2024/25 | NEC Nijmegen | Eredivisie | DM | 26 | 2161 | 71% | 0 | 1 | 0.04 | 0.06 | 1330 | 1320 | 0.50 |
| 2023/24 | NEC Nijmegen | Eredivisie | DM | 27 | 2305 | 75% | 5 | 4 | 0.35 | 0.27 | 1368 | 1336 | 0.48 |
| 2022/23 | NEC Nijmegen | Eredivisie | DM | 32 | 2765 | 90% | 1 | 1 | 0.07 | 0.10 | 1361 | 1266 | 0.58 |
| 2021/22 | NEC Nijmegen | Eredivisie | CM | 22 | 1357 | 44% | 0 | 0 | 0.00 | 0.11 | 1351 | 1243 | 0.60 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Knvb Beker | NEC Nijmegen | 4 | 332 | 0 | 1 | — |
| 2023/24 | Knvb Beker | NEC Nijmegen | 5 | 450 | 2 | 0 | — |
| 2022/23 | Knvb Beker | NEC Nijmegen | 3 | 229 | 0 | 0 | — |
| 2021/22 | Knvb Beker | NEC Nijmegen | 3 | 270 | 1 | 1 | — |
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 |
|---|---|---|---|---|
| Jesper Drost Eredivisie · 2017 | 24 | €1.3M | €600k | fell |
| Anastasios Bakasetas Super League 1 · 2017 | 24 | €1.0M | €1.5M | rose |
| Lasse Vigen Superliga · 2020 | 26 | €1.2M | €650k | fell |
| Mike Tresor Jupiler Pro League · 2022 | 23 | €3.0M | €12.0M | rose |
| Taylan Antalyalı Super Lig · 2020 | 25 | €950k | €3.5M | rose |
| Mamoutou N'Diaye Jupiler Pro League · 2014 | 24 | €800k | €600k | fell |
| Simon Tibbling Superliga · 2020 | 26 | €1.6M | €700k | fell |
| Doğucan Haspolat Super Lig · 2023 | 23 | €2.4M | €5.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 6 Jan 2020 | NEC U19 | NEC Nijmegen | Unknown | Data unavailable |
| 1 Jan 2019 | NEC U17 | NEC U19 | Unknown | Data unavailable |
| 1 Jul 2017 | NEC Youth | NEC U17 | Unknown | Data unavailable |
| 1 Jul 2011 | SV Spero Youth | NEC Youth | 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.