Milos Veljkovic
31 yrs · Centre-back (also DM) · Serbia
Red Star Belgrade · Super Liga Srbije · Foot: right · Height: 188 cm
Contract: until 30 Jun 2028
No model evaluation for this player. MoneyballAI evaluates players with at least 450 league minutes last season in leagues where match-level player data is available from the current free source (14 European top divisions). Market value and transfer history are still shown below.
Market value
€2.5M
Updated 6 days ago
Estimated acquisition
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Estimated · 20–80% range
Model value
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Performance-implied · estimated
Projected (24m)
—
Resale range · estimated
Potential value gap
—
Model value − acquisition
Market value history
Market value ≠ transfer fee ≠ acquisition cost.
Highest recorded: €12.0M
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. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024/25 | SV Werder Bremen | Bundesliga | CB | 14 | 1029 | 34% | 0 | 1 | 0.09 | 0.09 | 1526 | 1483 | 0.94 |
| 2023/24 | SV Werder Bremen | Bundesliga | CB | 23 | 1921 | 63% | 2 | 2 | 0.19 | 0.16 | 1533 | 1459 | 1.01 |
| 2022/23 | SV Werder Bremen | Bundesliga | CB | 29 | 2263 | 74% | 1 | 2 | 0.12 | 0.11 | 1518 | 1393 | 1.04 |
| 2020/21 | SV Werder Bremen | Bundesliga | CB | 23 | 1721 | 56% | 0 | 0 | 0.00 | 0.03 | 1515 | 1384 | 1.06 |
| 2019/20 | SV Werder Bremen | Bundesliga | CB | 24 | 2055 | 67% | 0 | 1 | 0.04 | 0.05 | 1548 | 1428 | 1.06 |
| 2018/19 | SV Werder Bremen | Bundesliga | CB | 23 | 1878 | 61% | 1 | 0 | 0.05 | 0.05 | 1516 | 1564 | 1.05 |
| 2017/18 | SV Werder Bremen | Bundesliga | CB | 30 | 2655 | 87% | 1 | 0 | 0.03 | 0.04 | 1520 | 1510 | 1.04 |
| 2016/17 | SV Werder Bremen | Bundesliga | CB | 26 | 1809 | 59% | 0 | 0 | 0.00 | 0.03 | 1551 | 1516 | 1.06 |
| 2015/16 | SV Werder Bremen | Bundesliga | DM | 3 | 92 | 3% | 0 | 0 | 0.00 | 0.14 | 1688 | 1459 | 1.02 |
| 2013/14 | Tottenham Hotspur | Premier League | DM | 2 | 30 | 1% | 0 | 0 | 0.00 | 0.08 | 1427 | 1621 | 1.12 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | Red Star Belgrade | 9 | 709 | 0 | 1 | 1461 |
| 2025/26 | Uefa Champions League Qualifying | Red Star Belgrade | 6 | 540 | 0 | 0 | 1397 |
| 2024/25 | Dfb Pokal | SV Werder Bremen | 3 | 105 | 0 | 0 | — |
| 2023/24 | Dfb Pokal | SV Werder Bremen | 1 | 90 | 0 | 0 | — |
| 2022/23 | Dfb Pokal | SV Werder Bremen | 2 | 210 | 0 | 0 | — |
| 2020/21 | Dfb Pokal | SV Werder Bremen | 3 | 300 | 0 | 1 | — |
| 2019/20 | Dfb Pokal | SV Werder Bremen | 2 | 180 | 0 | 0 | — |
| 2018/19 | Dfb Pokal | SV Werder Bremen | 4 | 356 | 0 | 0 | — |
| 2017/18 | Dfb Pokal | SV Werder Bremen | 4 | 390 | 1 | 0 | — |
| 2015/16 | Dfb Pokal | SV Werder Bremen | 1 | 1 | 0 | 0 | — |
| 2014/15 | Fa Cup | Middlesbrough FC | 1 | 85 | 0 | 0 | — |
| 2014/15 | Uefa Europa League Qualifying | Tottenham Hotspur | 1 | 4 | 0 | 0 | 1393 |
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.
No comparables computed for this player.
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2025 | Werder Bremen | Red Star | Free / loan | €3.0M |
| 1 Feb 2016 | Tottenham U21 | Werder Bremen | €330k | €250k |
| 31 May 2015 | Charlton | Tottenham U21 | Free / loan | €250k |
| 20 Jan 2015 | Tottenham U21 | Charlton | Free / loan | Data unavailable |
| 15 Jan 2015 | Middlesbrough | Tottenham U21 | Free / loan | Data unavailable |
| 16 Oct 2014 | Tottenham U21 | Middlesbrough | Free / loan | Data unavailable |
| 1 Jul 2013 | Spurs U18 | Tottenham U21 | Unknown | Data unavailable |
| 1 Oct 2011 | FC Basel U16 | Spurs U18 | 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.