Asker Beck
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Asker Beck's performance-implied value at EUR 0.2M-0.4M, below the estimated acquisition range of EUR 0.3M-1.1M. Its 24-month market value projection is EUR 0.4M-1.2M. Context-adjusted goal contributions are 1.12x the positional average in the league (708 minutes, league coefficient 0.47). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | Below average | 0.6th pct among MID peers (age-neutral) |
| Age | Favorable | 23 years |
| Acquisition cost | Favorable | est. €478k vs market €600k |
| Expected appreciation | High | +12% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | High | breakout probability 45% |
| 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 | 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
- 708 (36% of available)
- Goals + assists / 90
- 0.25
- Context-adjusted G+A / 90
- 0.24
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 1 (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
- 1281
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- High
- Trajectory
- insufficient
- Breakout probability
- 45%
- Resale range (24m)
- €435k – €1.2M
Historical comparables (8): median 2-year value change -8% (IQR -15% to +61%).
Risk profile
Overall: High
- ▲Small sample: 708 league minutes last season.
- ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⚠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
- 23 (MID)
- Relative output kept
- 68%–122%
- Held a regular role (900+ min)
- 65%
- 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 | CM | 20 | 708 | 36% | 0 | 2 | 0.25 | 0.25 | 1281 | 1286 | 0.47 |
| 2024/25 | Viborg FF | Superliga | CM | 3 | 36 | 2% | 0 | 0 | 0.00 | 0.23 | 1351 | 1222 | 0.38 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Oddset Pokalen | Viborg FF | 6 | 375 | 3 | 2 | — |
| 2024/25 | Oddset Pokalen | Kolding IF | 6 | 491 | 2 | 0 | — |
| 2024/25 | Oddset Pokalen | Viborg FF | 2 | 136 | 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 |
|---|---|---|---|---|
| Mathias Jensen Superliga · 2017 | 21 | €400k | €2.5M | rose |
| Kerem Atakan Kesgin Super Lig · 2022 | 22 | €1.0M | €950k | flat |
| Georgios Kyriakopoulos Super League 1 · 2018 | 22 | €600k | €2.4M | rose |
| Alexandros Nikolias Super League 1 · 2018 | 24 | €400k | €475k | flat |
| Júnior Tavares Liga Portugal · 2020 | 24 | €725k | €600k | flat |
| Luka Adzic Eredivisie · 2021 | 23 | €900k | €500k | fell |
| Jan Zamburek Superliga · 2023 | 22 | €500k | €450k | flat |
| Görkem Sağlam Eredivisie · 2021 | 23 | €700k | €600k | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 31 Jan 2025 | Kolding IF | Viborg FF | €150k | €350k |
| 31 Jan 2023 | Aarhus GF U19 | Kolding IF | Unknown | €50k |
| 1 Aug 2020 | Aarhus GF Youth | Aarhus GF 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.