Omri Gandelman
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Omri Gandelman's performance-implied value at EUR 1.8M-8.5M, above the estimated acquisition range of EUR 1.3M-3.1M. Its 24-month market value projection is EUR 1.6M-3.8M. Context-adjusted goal contributions are 1.28x the positional average in the league (2407 minutes, league coefficient 0.65). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 71
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 55.7th pct among MID peers (age-neutral) |
| Age | Neutral | 26.1 years |
| Acquisition cost | Favorable | est. €2.0M vs market €3.0M |
| Expected appreciation | Low | -17% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| League translation | Moderate | league coefficient 0.65 |
| 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
- 2407 (70% of available)
- Goals + assists / 90
- 0.41
- Context-adjusted G+A / 90
- 0.49
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 56 (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
- 0.65 (rank 4)
- Team strength (Elo)
- 1383
- Opponent strength
- 1398
- 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)
- €1.6M – €3.8M
Trajectory drivers: league level up (+47 Elo).
Historical comparables (8): median 2-year value change +10% (IQR -37% to +68%).
Risk profile
Overall: Low
- ⚠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
- 60 (MID)
- Relative output kept
- 63%–142%
- Held a regular role (900+ min)
- 72%
- 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 | KAA Gent | Jupiler Pro League | AM | 18 | 1428 | 53% | 7 | 1 | 0.50 | 0.49 | 1398 | 1403 | 0.65 |
| 2025/26 | US Lecce | Serie A | AM | 19 | 979 | 29% | 2 | 1 | 0.28 | 0.56 | 1543 | 1352 | 0.93 |
| 2024/25 | KAA Gent | Jupiler Pro League | AM | 24 | 1515 | 56% | 4 | 5 | 0.53 | 0.44 | 1371 | 1422 | 0.63 |
| 2023/24 | KAA Gent | Jupiler Pro League | CM | 22 | 779 | 29% | 6 | 3 | 1.04 | 0.48 | 1408 | 1436 | 0.63 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2024/25 | Uefa Conference League Qualifying | KAA Gent | 4 | 240 | 3 | 0 | 1377 |
| 2023/24 | Uefa Conference League Qualifying | KAA Gent | 2 | 23 | 0 | 1 | 1513 |
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 |
|---|---|---|---|---|
| Oscar Hiljemark Serie A · 2018 | 26 | €3.5M | €1.6M | fell |
| Eddy Gnahoré Ligue 1 · 2019 | 26 | €4.0M | €1.0M | fell |
| Miguel Rosa Liga Portugal · 2014 | 25 | €2.5M | €3.0M | rose |
| Hidemasa Morita Liga Portugal · 2022 | 27 | €4.0M | €15.0M | rose |
| André André Liga Portugal · 2014 | 25 | €1.8M | €8.5M | rose |
| Maxi Moralez Serie A · 2014 | 27 | €5.0M | €5.0M | flat |
| Soner Aydoğdu Super Lig · 2018 | 27 | €2.0M | €1.4M | fell |
| Panagiotis Kone Serie A · 2013 | 26 | €3.5M | €4.5M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 9 Jan 2026 | KAA Gent | Lecce | €3.0M | €5.0M |
| 18 Aug 2023 | Maccabi Netanya | KAA Gent | €2.4M | €1.5M |
| 1 May 2020 | M. Netanya U19 | Maccabi Netanya | Unknown | Data unavailable |
| 24 Aug 2018 | SV Wehen U19 | M. Netanya U19 | Unknown | Data unavailable |
| 24 Jan 2018 | Hapoel PT U19 | SV Wehen U19 | 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.