Morten Frendrup
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Morten Frendrup's performance-implied value at EUR 6.6M-18.8M, below the estimated acquisition range of EUR 10.2M-18.5M. Its 24-month market value projection is EUR 7.5M-18.9M. Context-adjusted goal contributions are 0.56x the positional average in the league (3089 minutes, league coefficient 0.93). 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 | High | 75.9th pct among MID peers (age-neutral) |
| Age | Neutral | 25.2 years |
| Acquisition cost | Neutral | est. €13.8M vs market €15.0M |
| Expected appreciation | Low | -15% over ~2 years (model) |
| Value gap | Negative | weak predictor on its own |
| Development | Moderate | |
| League translation | Big-five league | league coefficient 0.93 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Low | |
| 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
- 3089 (90% of available)
- Goals + assists / 90
- 0.03
- Context-adjusted G+A / 90
- 0.07
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 76 (High)
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
- 0.93 (rank 4)
- Team strength (Elo)
- 1407
- Opponent strength
- 1509
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Moderate
- Trajectory
- stable
- Breakout probability
- Age > 23
- Resale range (24m)
- €7.5M – €18.9M
Trajectory drivers: role change CM -> DM.
Historical comparables (8): median 2-year value change +0% (IQR -49% to +16%).
Risk profile
Overall: Low
- ⓘ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).
Already playing in a big-five league.
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 | Genoa CFC | Serie A | DM | 36 | 3089 | 90% | 1 | 0 | 0.03 | 0.07 | 1509 | 1406 | 0.93 |
| 2024/25 | Genoa CFC | Serie A | CM | 35 | 3107 | 91% | 2 | 0 | 0.06 | 0.11 | 1498 | 1444 | 0.99 |
| 2023/24 | Genoa CFC | Serie A | CM | 37 | 3147 | 92% | 2 | 5 | 0.20 | 0.27 | 1493 | 1445 | 0.98 |
| 2021/22 | Bröndby IF | Superliga | CM | 15 | 1204 | 61% | 2 | 0 | 0.15 | 0.17 | 1293 | 1362 | 0.45 |
| 2021/22 | Genoa CFC | Serie A | RB | 10 | 694 | 20% | 0 | 0 | 0.00 | 0.11 | 1500 | 1325 | 0.89 |
| 2020/21 | Bröndby IF | Superliga | DM | 22 | 1818 | 92% | 0 | 2 | 0.10 | 0.09 | 1285 | 1371 | 0.43 |
| 2019/20 | Bröndby IF | Superliga | CM | 16 | 901 | 39% | 0 | 0 | 0.00 | 0.09 | 1283 | 1326 | 0.41 |
| 2018/19 | Bröndby IF | Superliga | CM | 1 | 13 | 1% | 0 | 0 | 0.00 | 0.18 | 1314 | 1364 | 0.44 |
| 2017/18 | Bröndby IF | Superliga | CM | 2 | 29 | 1% | 0 | 0 | 0.00 | 0.11 | 1115 | 1502 | 0.47 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Italy Cup | Genoa CFC | 3 | 227 | 1 | 0 | — |
| 2024/25 | Italy Cup | Genoa CFC | 2 | 180 | 0 | 0 | — |
| 2023/24 | Italy Cup | Genoa CFC | 2 | 164 | 0 | 1 | — |
| 2021/22 | Uefa Europa League | Bröndby IF | 6 | 523 | 0 | 0 | 1553 |
| 2021/22 | Uefa Champions League Qualifying | Bröndby IF | 2 | 175 | 0 | 0 | 1618 |
| 2021/22 | Oddset Pokalen | Bröndby IF | 2 | 157 | 0 | 0 | — |
| 2020/21 | Oddset Pokalen | Bröndby IF | 2 | 137 | 0 | 0 | — |
| 2019/20 | Oddset Pokalen | Bröndby IF | 2 | 168 | 0 | 1 | — |
| 2018/19 | Oddset Pokalen | Bröndby IF | 1 | 86 | 1 | 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 |
|---|---|---|---|---|
| Radja Nainggolan Serie A · 2013 | 25 | €14.0M | €27.0M | rose |
| Fran Beltrán Laliga · 2023 | 24 | €15.0M | €8.0M | fell |
| Maxime Gonalons Ligue 1 · 2014 | 25 | €14.0M | €14.0M | flat |
| Maximilian Arnold Bundesliga · 2018 | 24 | €10.0M | €14.5M | rose |
| Jake Livermore Premier League · 2015 | 26 | €7.0M | €7.0M | flat |
| Mauro Arambarri Laliga · 2021 | 26 | €20.0M | €9.0M | fell |
| Morten Thorsby Serie A · 2022 | 26 | €7.0M | €3.0M | fell |
| Steven Nzonzi Premier League · 2013 | 25 | €7.0M | €7.5M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 30 Jan 2022 | Bröndby IF | Genoa | €4.4M | €3.5M |
| 1 Jul 2018 | Bröndby IF U19 | Bröndby IF | Unknown | Data unavailable |
| 1 Jan 2018 | Bröndby IF U17 | Bröndby IF U19 | Unknown | Data unavailable |
| 1 Jul 2016 | Bröndby Youth | Bröndby IF U17 | Unknown | Data unavailable |
| 1 Jul 2014 | Holbaek Youth | Bröndby 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.