Alexander Lind
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Alexander Lind's performance-implied value at EUR 0.4M-1.8M, below the estimated acquisition range of EUR 2.7M-7.3M. Its 24-month market value projection is EUR 2.6M-6.9M. Context-adjusted goal contributions are 1.33x the positional average in the league (923 minutes, league coefficient 0.47). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 41
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 20.1th pct among ATT peers (age-neutral) |
| Age | Neutral | 24 years |
| Acquisition cost | Favorable | est. €4.2M vs market €5.0M |
| Expected appreciation | Low | -21% 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 | 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 900 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 923 (47% of available)
- Goals + assists / 90
- 0.88
- Context-adjusted G+A / 90
- 0.67
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 20 (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 4)
- Team strength (Elo)
- 1315
- Opponent strength
- 1271
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- insufficient
- Breakout probability
- Age > 23
- Resale range (24m)
- €2.6M – €6.9M
Historical comparables (8): median 2-year value change +0% (IQR -17% to +71%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 923 league minutes last season.
- ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last 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
- 20 (ATT)
- Relative output kept
- 78%–121%
- 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 | FC Nordsjaelland | Superliga | ST | 12 | 923 | 47% | 5 | 4 | 0.88 | 0.67 | 1271 | 1314 | 0.47 |
| 2024/25 | Silkeborg IF | Superliga | ST | 3 | 202 | 10% | 0 | 0 | 0.00 | 0.39 | 1184 | 1264 | 0.38 |
| 2023/24 | Silkeborg IF | Superliga | ST | 20 | 1257 | 63% | 10 | 2 | 0.86 | 0.72 | 1279 | 1238 | 0.48 |
| 2022/23 | Silkeborg IF | Superliga | ST | 3 | 20 | 1% | 1 | 0 | 4.50 | 0.78 | 1387 | 1266 | 0.47 |
| 2021/22 | Silkeborg IF | Superliga | ST | 6 | 229 | 12% | 1 | 0 | 0.39 | 0.80 | 1282 | 1231 | 0.45 |
| 2019/20 | Silkeborg IF | Superliga | ST | 4 | 45 | 2% | 0 | 1 | 2.00 | 0.87 | 1284 | 1098 | 0.41 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Oddset Pokalen | FC Nordsjaelland | 4 | 332 | 0 | 0 | — |
| 2025/26 | Italy Cup | Pisa Sporting Club | 1 | 90 | 0 | 0 | — |
| 2024/25 | Uefa Europa League Qualifying | Silkeborg IF | 2 | 135 | 1 | 0 | 1535 |
| 2024/25 | Italy Cup | Pisa Sporting Club | 1 | 90 | 0 | 0 | — |
| 2023/24 | Oddset Pokalen | Silkeborg IF | 5 | 359 | 0 | 1 | — |
| 2022/23 | Oddset Pokalen | Silkeborg IF | 2 | 99 | 0 | 0 | — |
| 2019/20 | Oddset Pokalen | Silkeborg IF | 1 | 74 | 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 |
|---|---|---|---|---|
| Ebrima Colley Super Lig · 2023 | 23 | €3.0M | €2.0M | fell |
| Rober González Eredivisie · 2024 | 23 | €2.5M | €2.5M | flat |
| Luis Palma Super League 1 · 2023 | 23 | €2.5M | €3.0M | rose |
| Patrick Twumasi Super Lig · 2020 | 26 | €2.4M | €800k | fell |
| Tomas Necid Eredivisie · 2015 | 26 | €2.5M | €2.3M | flat |
| Patrik Wålemark Eredivisie · 2024 | 23 | €2.5M | €2.5M | flat |
| Maksim Glushenkov Premier Liga · 2022 | 23 | €1.8M | €11.0M | rose |
| Beto Liga Portugal · 2021 | 23 | €5.0M | €25.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 30 Jun 2026 | Nordsjaelland | Pisa | Free / loan | €5.0M |
| 1 Sept 2025 | Pisa | Nordsjaelland | Free / loan | €5.5M |
| 12 Aug 2024 | Silkeborg IF | Pisa | €4.0M | €3.0M |
| 1 Jul 2021 | Silkeborg U19 | Silkeborg IF | Unknown | €200k |
| 1 Jul 2019 | Silkeborg Yth. | Silkeborg 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.