Jesper Hansen
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Jesper Hansen's performance-implied value at EUR 0.1M-0.5M, above the estimated acquisition range of EUR 0.0M-0.1M. Its 24-month market value projection is EUR 0.0M-0.1M. 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.
Market value below EUR 250k (outside validated pool)
| Performance | Average | 54.6th pct among GK peers (age-neutral) |
| Age | Unfavorable | 41.3 years |
| Acquisition cost | Favorable | est. €43k vs market €50k |
| Expected appreciation | High | +13% over ~2 years (model) |
| Value gap | Very large | 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 | 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 284 evaluated GK players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1890 (96% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.00
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 55 (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)
- 1441
- Opponent strength
- 1263
- 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)
- €31k – €105k
Trajectory drivers: team strength up (+112 Elo); league level up (+45 Elo).
Historical comparables (8): median 2-year value change +0% (IQR -36% to +0%).
Risk profile
Overall: Very High
- ▲Age 41: resale value typically declines.
- ⚠League level coefficient 0.47 (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.
- ⓘ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
- 67 (all positions)
- Relative output kept
- 71%–125%
- Held a regular role (900+ min)
- 67%
- 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 | Aarhus GF | Superliga | GK | 21 | 1890 | 95% | 0 | 0 | 0.00 | 0.00 | 1263 | 1441 | 0.47 |
| 2024/25 | Aarhus GF | Superliga | GK | 22 | 1980 | 100% | 0 | 0 | 0.00 | 0.00 | 1299 | 1329 | 0.38 |
| 2023/24 | Aarhus GF | Superliga | GK | 10 | 818 | 41% | 0 | 0 | 0.00 | 0.00 | 1332 | 1356 | 0.48 |
| 2022/23 | Aarhus GF | Superliga | GK | 22 | 1980 | 100% | 0 | 0 | 0.00 | 0.00 | 1284 | 1331 | 0.47 |
| 2021/22 | Aarhus GF | Superliga | GK | 22 | 1980 | 100% | 0 | 0 | 0.00 | 0.00 | 1268 | 1303 | 0.45 |
| 2020/21 | FC Midtjylland | Superliga | GK | 18 | 1590 | 80% | 0 | 0 | 0.00 | 0.00 | 1259 | 1450 | 0.43 |
| 2019/20 | FC Midtjylland | Superliga | GK | 26 | 2340 | 100% | 0 | 0 | 0.00 | 0.00 | 1259 | 1500 | 0.41 |
| 2018/19 | FC Midtjylland | Superliga | GK | 26 | 2340 | 100% | 0 | 0 | 0.00 | 0.00 | 1295 | 1502 | 0.44 |
| 2017/18 | FC Midtjylland | Superliga | GK | 26 | 2340 | 100% | 0 | 0 | 0.00 | 0.00 | 1280 | 1492 | 0.47 |
| 2016/17 | Lyngby Boldklub | Superliga | GK | 25 | 2192 | 94% | 0 | 0 | 0.00 | 0.00 | 1314 | 1299 | 0.48 |
| 2015/16 | SC Bastia | Ligue 1 | GK | 4 | 311 | 9% | 0 | 0 | 0.00 | 0.00 | 1444 | 1395 | 0.78 |
| 2014/15 | Thonon Évian Grand Genève FC | Ligue 1 | GK | 15 | 1350 | 39% | 0 | 0 | 0.00 | 0.00 | 1432 | 1322 | 0.80 |
| 2013/14 | Thonon Évian Grand Genève FC | Ligue 1 | GK | 22 | 1980 | 58% | 0 | 0 | 0.00 | 0.00 | 1501 | 1389 | 0.79 |
| 2013/14 | FC Nordsjaelland | Superliga | GK | 2 | 180 | 6% | 0 | 0 | 0.00 | 0.00 | 1331 | 1375 | 0.63 |
| 2012/13 | FC Nordsjaelland | Superliga | GK | 32 | 2880 | 97% | 0 | 0 | 0.00 | 0.00 | 1334 | 1399 | 0.54 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Oddset Pokalen | Aarhus GF | 6 | 540 | 0 | 0 | — |
| 2024/25 | Oddset Pokalen | Aarhus GF | 3 | 256 | 0 | 0 | — |
| 2023/24 | Oddset Pokalen | Aarhus GF | 1 | 90 | 0 | 0 | — |
| 2023/24 | Uefa Conference League Qualifying | Aarhus GF | 1 | 90 | 0 | 0 | 1491 |
| 2022/23 | Oddset Pokalen | Aarhus GF | 3 | 270 | 0 | 0 | — |
| 2021/22 | Oddset Pokalen | Aarhus GF | 2 | 210 | 0 | 0 | — |
| 2021/22 | Uefa Conference League Qualifying | Aarhus GF | 2 | 180 | 0 | 0 | 1397 |
| 2020/21 | Uefa Champions League | FC Midtjylland | 4 | 360 | 0 | 0 | 1705 |
| 2020/21 | Uefa Champions League Qualifying | FC Midtjylland | 4 | 360 | 0 | 0 | 1493 |
| 2020/21 | Oddset Pokalen | FC Midtjylland | 3 | 300 | 0 | 0 | — |
| 2019/20 | Uefa Europa League Qualifying | FC Midtjylland | 2 | 180 | 0 | 0 | 1506 |
| 2019/20 | Oddset Pokalen | FC Midtjylland | 1 | 90 | 0 | 0 | — |
| 2018/19 | Oddset Pokalen | FC Midtjylland | 4 | 364 | 0 | 1 | — |
| 2018/19 | Uefa Europa League Qualifying | FC Midtjylland | 4 | 360 | 0 | 0 | 1389 |
| 2018/19 | Uefa Champions League Qualifying | FC Midtjylland | 2 | 180 | 0 | 0 | 1482 |
| 2017/18 | Uefa Europa League Qualifying | FC Midtjylland | 8 | 720 | 0 | 0 | 1329 |
| 2017/18 | Oddset Pokalen | FC Midtjylland | 2 | 180 | 0 | 0 | — |
| 2012/13 | Uefa Champions League | FC Nordsjaelland | 6 | 540 | 0 | 0 | 1634 |
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 |
|---|---|---|---|---|
| Ahmet Sahin Super Lig · 2016 | 38 | €100k | €25k | fell |
| Neil Alexander Scottish Premiership · 2016 | 38 | €200k | €150k | fell |
| Rafael Bracali Liga Portugal · 2023 | 42 | €100k | €100k | flat |
| Remko Pasveer Eredivisie · 2021 | 38 | €250k | €250k | flat |
| Ricardo Batista Liga Portugal · 2024 | 38 | €100k | €100k | flat |
| Marin Skender Superliga · 2016 | 37 | €250k | €100k | fell |
| Fotis Kipouros Super League 1 · 2013 | 38 | €150k | €150k | flat |
| Cássio Liga Portugal · 2018 | 38 | €200k | €475k | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2021 | Midtjylland | Aarhus GF | €350k | €250k |
| 1 Jul 2017 | Lyngby BK | Midtjylland | €650k | €500k |
| 1 Jul 2016 | SC Bastia | Lyngby BK | Free / loan | €500k |
| 18 Aug 2015 | Évian | SC Bastia | Unknown | €800k |
| 12 Aug 2013 | Nordsjaelland | Évian | Unknown | €1.0M |
| 30 Jun 2005 | Ölstykke FC | Nordsjaelland | Free / loan | Data unavailable |
| 1 Jan 2005 | Nordsjaelland | Ölstykke FC | Free / loan | Data unavailable |
| 1 Jul 2003 | Farum BK U19 | Nordsjaelland | 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.