Halil Akbunar
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Halil Akbunar's performance-implied value at EUR 0.2M-0.5M, above the estimated acquisition range of EUR 0.2M-0.5M. Its 24-month market value projection is EUR 0.2M-0.5M. Context-adjusted goal contributions are 1.09x the positional average in the league (506 minutes, league coefficient 0.40). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
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 | 18.6th pct among ATT peers (age-neutral) |
| Age | Unfavorable | 32.6 years |
| Acquisition cost | Very favorable | est. €321k vs market €600k |
| Expected appreciation | Very low | -50% over ~2 years (model) |
| Value gap | Small | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.4 |
| 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 901 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 506 (17% of available)
- Goals + assists / 90
- 0.36
- Context-adjusted G+A / 90
- 0.43
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 19 (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
- 0.40 (rank 18)
- Team strength (Elo)
- 1204
- Opponent strength
- 1266
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- declining
- Breakout probability
- Age > 23
- Resale range (24m)
- €193k – €544k
Trajectory drivers: minutes share down 21 pts.
Historical comparables (8): median 2-year value change -35% (IQR -86% to +0%).
Risk profile
Overall: Very High
- ▲Small sample: 506 league minutes last season.
- ▲Age 33: resale value typically declines.
- ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⚠Declining trajectory versus previous 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
- 53 (ATT)
- Relative output kept
- 79%–133%
- Held a regular role (900+ min)
- 58%
- 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 | Eyüpspor | Super Lig | RW | 12 | 506 | 17% | 2 | 0 | 0.36 | 0.43 | 1266 | 1204 | 0.40 |
| 2024/25 | Eyüpspor | Super Lig | RW | 29 | 1224 | 38% | 3 | 3 | 0.44 | 0.45 | 1307 | 1229 | 0.39 |
| 2023/24 | Pendikspor | Super Lig | RW | 37 | 2812 | 82% | 5 | 3 | 0.26 | 0.41 | 1308 | 1167 | 0.45 |
| 2022/23 | KVC Westerlo | Jupiler Pro League | RW | 14 | 765 | 25% | 2 | 4 | 0.71 | 0.63 | 1330 | 1333 | 0.58 |
| 2021/22 | Göztepe | Super Lig | RW | 32 | 2505 | 73% | 4 | 7 | 0.40 | 0.45 | 1243 | 1097 | 0.42 |
| 2020/21 | Göztepe | Super Lig | RW | 40 | 3365 | 93% | 9 | 13 | 0.59 | 0.58 | 1281 | 1200 | 0.37 |
| 2019/20 | Göztepe | Super Lig | RM | 31 | 2070 | 68% | 5 | 3 | 0.35 | 0.26 | 1341 | 1233 | 0.45 |
| 2018/19 | Göztepe | Super Lig | RM | 28 | 2057 | 67% | 3 | 5 | 0.35 | 0.24 | 1390 | 1299 | 0.58 |
| 2017/18 | Göztepe | Super Lig | RM | 31 | 1948 | 64% | 2 | 3 | 0.23 | 0.20 | 1373 | 1362 | 0.68 |
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 |
|---|---|---|---|---|
| Mehdi Carcela-González Jupiler Pro League · 2022 | 33 | €500k | €250k | fell |
| Stéphane Bahoken Super Lig · 2024 | 32 | €950k | €950k | flat |
| Jeremain Lens Super Lig · 2021 | 34 | €600k | €100k | fell |
| Serdar Özkan Super Lig · 2020 | 33 | €300k | €25k | fell |
| Miguel Ángel Guerrero Super League 1 · 2023 | 33 | €500k | €500k | flat |
| Mustafa Pektemek Super Lig · 2021 | 33 | €650k | €50k | fell |
| Emanuel Perrone Super League 1 · 2016 | 33 | €300k | €250k | flat |
| Pablo Vitti Super League 1 · 2017 | 32 | €400k | €400k | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 5 Jan 2026 | Eyüpspor | Bursaspor | Free / loan | €600k |
| 30 Jun 2024 | Pendikspor | Eyüpspor | Free / loan | €1.4M |
| 3 Jul 2023 | Eyüpspor | Pendikspor | Free / loan | €2.2M |
| 12 Jan 2023 | KVC Westerlo | Eyüpspor | €1.2M | €2.5M |
| 8 Jul 2022 | Göztepe | KVC Westerlo | €1.0M | €3.5M |
| 30 Jun 2016 | Elazigspor | Göztepe | Free / loan | €500k |
| 26 Aug 2015 | Göztepe | Elazigspor | Free / loan | €600k |
| 6 Jan 2012 | Göztepe U21 | Göztepe | Unknown | Data unavailable |
| 5 Oct 2011 | Antalyaspor Yth | Göztepe U21 | Free / loan | Data unavailable |
| 17 Sept 2010 | Balcova IY Yth | Antalyaspor Yth | 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.