Kevin Yakob
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Kevin Yakob's performance-implied value at EUR 0.5M-2.2M, above the estimated acquisition range of EUR 0.3M-1.2M. Its 24-month market value projection is EUR 0.6M-2.1M. Context-adjusted goal contributions are 1.39x the positional average in the league (841 minutes, league coefficient 0.47). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Final year of contract: selling club's leverage is reduced.
Bargain Index: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | Below average | 32th pct among MID peers (age-neutral) |
| Age | Neutral | 25.7 years |
| Acquisition cost | Very favorable | est. €455k vs market €850k |
| Expected appreciation | High | +26% over ~2 years (model) |
| Value gap | Very large | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.47 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Very High | |
| Data confidence | Low |
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 1164 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 841 (43% of available)
- Goals + assists / 90
- 0.64
- Context-adjusted G+A / 90
- 0.30
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 32 (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
- 0.47 (rank 12)
- Team strength (Elo)
- 1441
- Opponent strength
- 1252
- 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)
- €554k – €2.1M
Historical comparables (8): median 2-year value change -35% (IQR -53% to -16%).
Risk profile
Overall: Very High
- ▲Small sample: 841 league minutes last season.
- ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⚠Projection range wider than for most evaluated players.
- ⓘ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
- 23 (MID)
- Relative output kept
- 68%–122%
- Held a regular role (900+ min)
- 65%
- 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 | Aarhus GF | Superliga | CM | 17 | 841 | 42% | 3 | 3 | 0.64 | 0.30 | 1252 | 1441 | 0.47 |
| 2022/23 | Aarhus GF | Superliga | AM | 14 | 852 | 43% | 1 | 3 | 0.42 | 0.39 | 1284 | 1331 | 0.47 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Oddset Pokalen | Aarhus GF | 6 | 408 | 0 | 0 | — |
| 2025/26 | World Cup | Iraq | 1 | 23 | 0 | 0 | — |
| 2022/23 | Oddset Pokalen | Aarhus GF | 3 | 234 | 2 | 3 | — |
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 |
|---|---|---|---|---|
| Lasse Vigen Superliga · 2021 | 27 | €1.0M | €600k | fell |
| Bruno Paz Super Lig · 2023 | 25 | €900k | €300k | fell |
| Simon Kroon Superliga · 2017 | 24 | €500k | €200k | fell |
| Andreas Ludwig Eredivisie · 2016 | 26 | €600k | €300k | fell |
| Pelé Super League 1 · 2014 | 27 | €1.0M | €750k | fell |
| Arnór Smárason Superliga · 2013 | 25 | €500k | €600k | rose |
| Astrit Ajdarevic Super League 1 · 2017 | 27 | €1.0M | €700k | fell |
| Anders Christiansen Superliga · 2013 | 23 | €800k | €1.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 26 Aug 2022 | IFK Göteborg | Aarhus GF | €190k | €350k |
| 29 Jan 2021 | Häcken | IFK Göteborg | Free / loan | €100k |
| 30 Nov 2020 | Utsiktens BK | Häcken | Free / loan | €100k |
| 12 Aug 2020 | Häcken | Utsiktens BK | Free / loan | €100k |
| 14 May 2018 | BK Häcken U19 | Häcken | 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.