Tete Yengi
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Tete Yengi's performance-implied value at EUR 0.2M-0.4M, below the estimated acquisition range of EUR 0.1M-0.7M. Its 24-month market value projection is EUR 0.3M-0.7M. Context-adjusted goal contributions are 0.98x the positional average in the league (1056 minutes, league coefficient 0.31). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Contract end date unavailable: range widened by 15% each side.
Bargain Index: 60
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 0.4th pct among ATT peers (age-neutral) |
| Age | Neutral | 25.6 years |
| Acquisition cost | Favorable | est. €383k vs market €450k |
| Expected appreciation | Neutral | -7% over ~2 years (model) |
| Value gap | Negative | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.31 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | High | |
| 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 900 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1056 (36% of available)
- Goals + assists / 90
- 0.17
- Context-adjusted G+A / 90
- 0.50
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 0 (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
- 0.31 (rank 26)
- Team strength (Elo)
- 981
- Opponent strength
- 1220
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- insufficient
- Breakout probability
- Age > 23
- Resale range (24m)
- €276k – €667k
Historical comparables (8): median 2-year value change +0% (IQR -14% to +16%).
Risk profile
Overall: High
- ▲League level coefficient 0.31 (1.00 = big-five average): output may not translate.
- ⚠Limited sample: 1056 league minutes last season.
- ⚠No continental-competition minutes last season.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘContract end date unavailable (or stale in source).
- ⓘ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
- 12 (ATT)
- Relative output kept
- 75%–114%
- Held a regular role (900+ min)
- 67%
- Confidence
- Low
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 | Livingston FC | Scottish Premiership | ST | 19 | 1056 | 36% | 2 | 0 | 0.17 | 0.50 | 1220 | 981 | 0.31 |
| 2023/24 | Livingston FC | Scottish Premiership | ST | 12 | 770 | 26% | 3 | 2 | 0.58 | 0.83 | 1229 | 1041 | 0.34 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Scottish Fa Cup | Livingston FC | 1 | 37 | 0 | 0 | — |
| 2025/26 | World Cup | Australia | 2 | 22 | 0 | 0 | — |
| 2023/24 | Scottish Fa Cup | Livingston FC | 2 | 210 | 2 | 0 | — |
| 2023/24 | Uefa Conference League Qualifying | Kuopion Palloseura | 2 | 180 | 0 | 0 | 1249 |
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 |
|---|---|---|---|---|
| Dan MacKay Scottish Premiership · 2024 | 23 | €300k | €300k | flat |
| Hadi Sacko Super Lig · 2021 | 27 | €775k | €125k | fell |
| Vladyslav Dmytrenko Premier Liga · 2024 | 24 | €300k | €300k | flat |
| Danny Mullen Scottish Premiership · 2019 | 24 | €325k | €350k | flat |
| Nikolaos Vergos Super League 1 · 2021 | 25 | €200k | €450k | rose |
| Bruce Anderson Scottish Premiership · 2024 | 26 | €550k | €300k | fell |
| Kostyantyn Bychek Premier Liga · 2024 | 24 | €250k | €250k | flat |
| Ari Moura Premier Liga · 2024 | 28 | €350k | €500k | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 30 Jun 2026 | Machida Zelvia | Livingston FC | Free / loan | €450k |
| 25 Jan 2026 | Livingston FC | Machida Zelvia | Free / loan | €250k |
| 1 Jan 2024 | Ipswich | Livingston FC | Unknown | €250k |
| 31 Dec 2023 | KuPS | Ipswich | Free / loan | €250k |
| 16 Jul 2023 | Ipswich | KuPS | Free / loan | €300k |
| 31 May 2023 | Northampton | Ipswich | Free / loan | €300k |
| 31 Jan 2023 | Ipswich | Northampton | Free / loan | €400k |
| 31 Dec 2022 | VPS | Ipswich | Free / loan | €400k |
| 6 Apr 2022 | Ipswich | VPS | Free / loan | €100k |
| 27 Sept 2021 | Newcastle | Ipswich | Free / loan | €100k |
| 18 Dec 2020 | Adelaide Comets | Newcastle | Free / loan | Data unavailable |
| 1 Jan 2019 | A. Comets Youth | Adelaide Comets | 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.