
Levent Mercan
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Levent Mercan's performance-implied value at EUR 1.0M-2.3M, below the estimated acquisition range of EUR 2.7M-7.0M. Its 24-month market value projection is EUR 2.2M-6.3M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 22
What drives the score. Not a black box: each component and its level.
| Performance | Average | 46.3th pct among DEF peers (age-neutral) |
| Age | Neutral | 25.6 years |
| Acquisition cost | Neutral | est. €4.4M vs market €5.0M |
| Expected appreciation | Very low | -30% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Moderate | |
| League translation | Uncertain | league coefficient 0.4 |
| 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 1268 evaluated DEF players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1161 (38% of available)
- Goals + assists / 90
- 0.23
- Context-adjusted G+A / 90
- 0.15
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 46 (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
- 0.40 (rank 18)
- Team strength (Elo)
- 1477
- Opponent strength
- 1227
- 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)
- €2.2M – €6.3M
Trajectory drivers: minutes share up 23 pts; role change CB -> LB; relative output up 207% vs positional peers.
Historical comparables (8): median 2-year value change -9% (IQR -45% to +33%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1161 league minutes last season.
- ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘ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
- 50 (DEF)
- Relative output kept
- 68%–191%
- Held a regular role (900+ min)
- 54%
- 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 | Fenerbahce | Super Lig | LB | 21 | 1161 | 38% | 0 | 3 | 0.23 | 0.15 | 1227 | 1477 | 0.40 |
| 2024/25 | Fenerbahce | Super Lig | CB | 11 | 489 | 15% | 0 | 0 | 0.00 | 0.02 | 1227 | 1503 | 0.39 |
| 2023/24 | Fatih Karagümrük | Super Lig | LB | 36 | 3114 | 91% | 1 | 5 | 0.17 | 0.17 | 1304 | 1264 | 0.45 |
| 2022/23 | Fatih Karagümrük | Super Lig | LB | 29 | 2096 | 65% | 2 | 2 | 0.17 | 0.15 | 1306 | 1354 | 0.50 |
| 2021/22 | Fatih Karagümrük | Super Lig | CM | 18 | 489 | 14% | 0 | 0 | 0.00 | 0.16 | 1286 | 1278 | 0.42 |
| 2020/21 | FC Schalke 04 | Bundesliga | LB | 1 | 5 | 0% | 0 | 0 | 0.00 | 0.18 | 1523 | 1303 | 1.06 |
| 2019/20 | FC Schalke 04 | Bundesliga | AM | 5 | 68 | 2% | 0 | 0 | 0.00 | 0.44 | 1553 | 1415 | 1.06 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | Fenerbahce | 4 | 118 | 0 | 1 | 1515 |
| 2019/20 | Dfb Pokal | FC Schalke 04 | 1 | 28 | 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 |
|---|---|---|---|---|
| Oleksandr Tymchyk Premier Liga · 2022 | 25 | €2.5M | €4.0M | rose |
| Yukhym Konoplya Premier Liga · 2023 | 24 | €4.0M | €5.0M | rose |
| Giulian Biancone Super League 1 · 2024 | 24 | €3.0M | €2.5M | flat |
| Pipa Super League 1 · 2023 | 25 | €2.2M | €2.2M | flat |
| Mert Müldür Super Lig · 2024 | 25 | €4.2M | €7.0M | rose |
| Danil Krugovoy Premier Liga · 2022 | 24 | €3.0M | €1.8M | fell |
| Lefteris Lyratzis Super League 1 · 2023 | 23 | €2.0M | €850k | fell |
| Viktor Korniyenko Premier Liga · 2022 | 23 | €3.0M | €1.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2024 | Karagümrük | Fenerbahçe | €2.0M | €3.0M |
| 5 Jul 2022 | FC Schalke 04 | Karagümrük | Unknown | €1.2M |
| 30 Jun 2022 | Karagümrük | FC Schalke 04 | Free / loan | €1.2M |
| 16 Aug 2021 | FC Schalke 04 | Karagümrük | Free / loan | €500k |
| 1 Jul 2019 | Schalke 04 U19 | FC Schalke 04 | Unknown | Data unavailable |
| 1 Jul 2017 | Schalke 04 U17 | Schalke 04 U19 | Unknown | Data unavailable |
| 1 Jul 2016 | RW Essen U17 | Schalke 04 U17 | Free / loan | Data unavailable |
| 1 Jul 2015 | Rot-Weiss Essen | RW Essen U17 | Unknown | Data unavailable |
| 1 Jul 2012 | VfL Bochum Yth. | Rot-Weiss Essen | Free / loan | Data unavailable |
| 1 Jul 2011 | VfB Hüls Yth. | VfL Bochum Yth. | Free / loan | Data unavailable |
| 1 Jul 2010 | Recklingh. Jgd. | VfB Hüls 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.