Christos Sielis
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Christos Sielis's performance-implied value at EUR 0.4M-0.7M, above the estimated acquisition range of EUR 0.2M-1.0M. Its 24-month market value projection is EUR 0.4M-0.9M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 73
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 17.4th pct among DEF peers (age-neutral) |
| Age | Neutral | 26.4 years |
| Acquisition cost | Favorable | est. €471k vs market €700k |
| Expected appreciation | Low | -16% over ~2 years (model) |
| Value gap | Small | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.43 |
| 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
- 1650 (71% of available)
- Goals + assists / 90
- 0.06
- Context-adjusted G+A / 90
- 0.10
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 17 (Below 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
- 0.42 (rank 16)
- Team strength (Elo)
- 1182
- Opponent strength
- 1255
- 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)
- €359k – €914k
Trajectory drivers: league level up (+40 Elo); relative output up 185% vs positional peers.
Historical comparables (8): median 2-year value change -26% (IQR -43% to +5%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1650 league minutes last season.
- ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⓘ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
- 25 (DEF)
- Relative output kept
- 55%–230%
- Held a regular role (900+ min)
- 68%
- 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 | Panetolikos Agrinio | Super League 1 | CB | 20 | 1650 | 71% | 0 | 1 | 0.05 | 0.10 | 1255 | 1182 | 0.43 |
| 2024/25 | Panetolikos Agrinio | Super League 1 | CB | 23 | 1948 | 83% | 0 | 0 | 0.00 | 0.03 | 1276 | 1156 | 0.35 |
| 2023/24 | Volou Neos Podosferikos Syllogos | Super League 1 | CB | 18 | 1539 | 66% | 2 | 1 | 0.18 | 0.15 | 1288 | 1144 | 0.42 |
| 2022/23 | Volou Neos Podosferikos Syllogos | Super League 1 | CB | 21 | 1650 | 71% | 0 | 0 | 0.00 | 0.03 | 1235 | 1219 | 0.37 |
| 2021/22 | Volou Neos Podosferikos Syllogos | Super League 1 | CB | 3 | 12 | 1% | 0 | 0 | 0.00 | 0.11 | 1461 | 1195 | 0.39 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Kypello Elladas | Panetolikos Agrinio | 3 | 270 | 0 | 0 | — |
| 2024/25 | Kypello Elladas | Panetolikos Agrinio | 1 | 90 | 0 | 0 | — |
| 2023/24 | Kypello Elladas | Volou Neos Podosferikos Syllogos | 2 | 153 | 0 | 0 | — |
| 2022/23 | Kypello Elladas | Volou Neos Podosferikos Syllogos | 2 | 180 | 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 |
|---|---|---|---|---|
| Nikolaos Marinakis Super League 1 · 2019 | 26 | €500k | €350k | fell |
| Carlens Arcus Eredivisie · 2024 | 28 | €700k | €1.8M | rose |
| Pavlos Kyriakidis Super League 1 · 2017 | 26 | €500k | €300k | fell |
| Marc McAusland Scottish Premiership · 2014 | 26 | €450k | €450k | flat |
| Giannis Potouridis Super League 1 · 2019 | 27 | €450k | €350k | fell |
| Stavros Vasilantonopoulos Super League 1 · 2019 | 27 | €500k | €600k | rose |
| Mijusko Bojovic Jupiler Pro League · 2014 | 26 | €700k | €300k | fell |
| Grant Gillespie Scottish Premiership · 2017 | 26 | €400k | €200k | 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 | Volos NFC | Panetolikos | Free / loan | €700k |
| 8 Jan 2022 | Levski Sofia | Volos NFC | Free / loan | €500k |
| 20 Jul 2021 | APOEL Nicosia | Levski Sofia | Free / loan | €500k |
| 1 Jul 2019 | Shrewsbury | APOEL Nicosia | Unknown | Data unavailable |
| 21 Oct 2018 | Halesowen | Shrewsbury | Free / loan | Data unavailable |
| 21 Sept 2018 | Shrewsbury | Halesowen | Free / loan | Data unavailable |
| 1 Jul 2018 | Shrewsbury U18 | Shrewsbury | Unknown | Data unavailable |
| 1 Jul 2017 | Grimsby U18 | Shrewsbury U18 | Unknown | Data unavailable |
| 1 Jul 2016 | Arsenal Academy | Grimsby U18 | Unknown | 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.