Rocco Reitz
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Rocco Reitz's performance-implied value at EUR 5.8M-17.3M, below the estimated acquisition range of EUR 15.5M-26.6M. Its 24-month market value projection is EUR 9.7M-26.8M. Context-adjusted goal contributions are 0.71x the positional average in the league (2639 minutes, league coefficient 0.94). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 28
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 69.6th pct among MID peers (age-neutral) |
| Age | Neutral | 24.1 years |
| Acquisition cost | Neutral | est. €20.3M vs market €20.0M |
| Expected appreciation | Low | -15% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Moderate | |
| League translation | Big-five league | league coefficient 0.94 |
| 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
- 2639 (86% of available)
- Goals + assists / 90
- 0.14
- Context-adjusted G+A / 90
- 0.15
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 70 (Above 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
- 0.94 (rank 3)
- Team strength (Elo)
- 1423
- Opponent strength
- 1489
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Moderate
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €9.7M – €26.8M
Trajectory drivers: minutes share up 26 pts.
Historical comparables (8): median 2-year value change +16% (IQR -14% to +63%).
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 | Borussia Mönchengladbach | Bundesliga | CM | 31 | 2639 | 86% | 0 | 4 | 0.14 | 0.15 | 1489 | 1422 | 0.94 |
| 2024/25 | Borussia Mönchengladbach | Bundesliga | CM | 27 | 1841 | 60% | 2 | 1 | 0.15 | 0.19 | 1521 | 1427 | 0.94 |
| 2023/24 | Borussia Mönchengladbach | Bundesliga | CM | 34 | 2144 | 70% | 6 | 3 | 0.38 | 0.33 | 1522 | 1435 | 1.01 |
| 2022/23 | Sint-Truidense VV | Jupiler Pro League | CM | 12 | 807 | 26% | 1 | 0 | 0.11 | 0.15 | 1303 | 1316 | 0.58 |
| 2022/23 | Borussia Mönchengladbach | Bundesliga | CM | 1 | 2 | 0% | 0 | 0 | 0.00 | 0.15 | 1405 | 1499 | 1.04 |
| 2021/22 | Sint-Truidense VV | Jupiler Pro League | CM | 23 | 794 | 26% | 2 | 1 | 0.34 | 0.34 | 1325 | 1323 | 0.49 |
| 2020/21 | Borussia Mönchengladbach | Bundesliga | CM | 2 | 61 | 2% | 0 | 0 | 0.00 | 0.13 | 1423 | 1581 | 1.06 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Dfb Pokal | Borussia Mönchengladbach | 3 | 202 | 0 | 0 | — |
| 2024/25 | Dfb Pokal | Borussia Mönchengladbach | 1 | 72 | 0 | 1 | — |
| 2023/24 | Dfb Pokal | Borussia Mönchengladbach | 3 | 215 | 0 | 0 | — |
| 2022/23 | Dfb Pokal | Borussia Mönchengladbach | 1 | 14 | 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 |
|---|---|---|---|---|
| Dennis Praet Serie A · 2018 | 24 | €25.0M | €19.0M | fell |
| Maxime Lopez Serie A · 2022 | 25 | €15.0M | €7.5M | fell |
| Pedro Obiang Serie A · 2015 | 23 | €8.0M | €9.0M | flat |
| Youssouf Fofana Ligue 1 · 2023 | 24 | €25.0M | €30.0M | rose |
| Enzo Le Fée Ligue 1 · 2023 | 23 | €20.0M | €18.0M | flat |
| Jordan Veretout Ligue 1 · 2017 | 24 | €9.0M | €20.0M | rose |
| Roberto Soriano Serie A · 2015 | 24 | €10.0M | €16.0M | rose |
| Azor Matusiwa Ligue 1 · 2022 | 24 | €7.0M | €12.0M | 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 2026 | Mönchengladbach | Leipzig | €20.0M | €20.0M |
| 30 Jun 2023 | Sint-Truiden | Mönchengladbach | Free / loan | €800k |
| 17 Jan 2023 | Mönchengladbach | Sint-Truiden | Free / loan | €650k |
| 30 Jun 2022 | Sint-Truiden | Mönchengladbach | Free / loan | €650k |
| 3 Aug 2021 | Mönchengladbach | Sint-Truiden | Free / loan | €500k |
| 1 Jul 2020 | M'gladbach U19 | Mönchengladbach | Unknown | Data unavailable |
| 1 Jul 2019 | M'gladbach U17 | M'gladbach U19 | Unknown | Data unavailable |
| 1 Jul 2017 | M'gladbach Yth. | M'gladbach U17 | Unknown | Data unavailable |
| 1 Jul 2009 | TuS Baerl Jgd. | M'gladbach Yth. | 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.