Bremer
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Bremer's performance-implied value at EUR 4.1M-16.7M, below the estimated acquisition range of EUR 19.2M-35.8M. Its 24-month market value projection is EUR 10.3M-21.8M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 2
What drives the score. Not a black box: each component and its level.
| Performance | High | 85.4th pct among DEF peers (age-neutral) |
| Age | Unfavorable | 29.3 years |
| Acquisition cost | Favorable | est. €28.4M vs market €35.0M |
| Expected appreciation | Very low | -59% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Low | |
| 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 1268 evaluated DEF players with 900+ minutes.
Performance (last season, league)
- Minutes
- 2175 (64% of available)
- Goals + assists / 90
- 0.29
- Context-adjusted G+A / 90
- 0.18
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 85 (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)
- 1614
- Opponent strength
- 1494
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €10.3M – €21.8M
Trajectory drivers: minutes share up 48 pts; relative output up 383% vs positional peers.
Historical comparables (8): median 2-year value change -37% (IQR -46% to -8%).
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 | Juventus FC | Serie A | CB | 26 | 2175 | 64% | 4 | 3 | 0.29 | 0.18 | 1494 | 1614 | 0.93 |
| 2024/25 | Juventus FC | Serie A | CB | 6 | 540 | 16% | 0 | 0 | 0.00 | 0.03 | 1462 | 1629 | 0.99 |
| 2023/24 | Juventus FC | Serie A | CB | 36 | 3234 | 95% | 3 | 0 | 0.08 | 0.06 | 1481 | 1621 | 0.98 |
| 2022/23 | Juventus FC | Serie A | CB | 30 | 2640 | 77% | 4 | 1 | 0.17 | 0.11 | 1454 | 1614 | 0.94 |
| 2021/22 | Torino FC | Serie A | CB | 33 | 2893 | 85% | 3 | 1 | 0.12 | 0.14 | 1483 | 1423 | 0.89 |
| 2020/21 | Torino FC | Serie A | CB | 33 | 2936 | 86% | 5 | 1 | 0.18 | 0.18 | 1471 | 1373 | 0.90 |
| 2019/20 | Torino FC | Serie A | CB | 27 | 2277 | 67% | 3 | 1 | 0.16 | 0.13 | 1411 | 1373 | 0.82 |
| 2018/19 | Torino FC | Serie A | CB | 5 | 182 | 5% | 0 | 0 | 0.00 | 0.09 | 1661 | 1504 | 0.78 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | Juventus FC | 4 | 304 | 0 | 0 | 1585 |
| 2025/26 | Italy Cup | Juventus FC | 1 | 90 | 0 | 0 | — |
| 2024/25 | Uefa Champions League | Juventus FC | 2 | 96 | 0 | 0 | 1650 |
| 2023/24 | Italy Cup | Juventus FC | 4 | 360 | 0 | 0 | — |
| 2022/23 | Uefa Europa League | Juventus FC | 7 | 643 | 0 | 0 | 1579 |
| 2022/23 | Uefa Champions League | Juventus FC | 3 | 270 | 0 | 0 | 1645 |
| 2022/23 | Italy Cup | Juventus FC | 3 | 270 | 1 | 0 | — |
| 2020/21 | Italy Cup | Torino FC | 2 | 99 | 0 | 0 | — |
| 2019/20 | Uefa Europa League Qualifying | Torino FC | 6 | 540 | 0 | 2 | 1422 |
| 2019/20 | Italy Cup | Torino FC | 2 | 202 | 2 | 0 | — |
| 2018/19 | Italy Cup | Torino FC | 2 | 112 | 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 |
|---|---|---|---|---|
| Lars Bender Bundesliga · 2018 | 29 | €13.0M | €7.0M | fell |
| Willi Orbán Bundesliga · 2021 | 29 | €16.0M | €10.0M | fell |
| Maximilian Mittelstädt Bundesliga · 2024 | 27 | €17.0M | €18.0M | flat |
| Harry Maguire Premier League · 2024 | 31 | €18.0M | €8.0M | fell |
| Emre Can Bundesliga · 2021 | 27 | €26.0M | €14.0M | fell |
| Stefan de Vrij Serie A · 2017 | 25 | €27.0M | €50.0M | rose |
| Sead Kolasinac Ligue 1 · 2023 | 30 | €8.0M | €7.0M | flat |
| Mamadou Sakho Premier League · 2018 | 28 | €15.0M | €9.5M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 20 Jul 2022 | Torino | Juventus | €51.3M | €35.0M |
| 10 Jul 2018 | Atlético-MG | Torino | €5.8M | €1.0M |
| 1 Jun 2018 | Atlético-MG U20 | Atlético-MG | Unknown | €1.0M |
| 1 Jan 2017 | Desportivo U20 | Atlético-MG U20 | €86k | Data unavailable |
| 1 Dec 2016 | São Paulo U20 | Desportivo U20 | Free / loan | Data unavailable |
| 1 Jan 2016 | Desportivo U20 | São Paulo U20 | 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.