
Gift Links
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Gift Links's performance-implied value at EUR 0.8M-2.2M, above the estimated acquisition range of EUR 0.8M-3.0M. Its 24-month market value projection is EUR 1.3M-3.8M. Context-adjusted goal contributions are 0.89x the positional average in the league (1863 minutes, league coefficient 0.47). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 83
What drives the score. Not a black box: each component and its level.
| Performance | Average | 43.2th pct among MID peers (age-neutral) |
| Age | Neutral | 27.7 years |
| Acquisition cost | Favorable | est. €1.6M vs market €2.5M |
| Expected appreciation | Low | -10% over ~2 years (model) |
| Value gap | Small | 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 | 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 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1863 (94% of available)
- Goals + assists / 90
- 0.39
- Context-adjusted G+A / 90
- 0.20
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 43 (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
- 1259
- 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)
- €1.3M – €3.8M
Trajectory drivers: minutes share up 22 pts; team strength up (+112 Elo); league level up (+45 Elo).
Historical comparables (8): median 2-year value change +0% (IQR -27% to +35%).
Risk profile
Overall: Moderate
- ⚠League level coefficient 0.47 (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
- 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 | LM | 22 | 1863 | 94% | 3 | 5 | 0.39 | 0.20 | 1259 | 1441 | 0.47 |
| 2024/25 | Aarhus GF | Superliga | LM | 19 | 1433 | 72% | 2 | 3 | 0.31 | 0.21 | 1308 | 1329 | 0.38 |
| 2023/24 | Aarhus GF | Superliga | LM | 18 | 1059 | 53% | 0 | 3 | 0.25 | 0.22 | 1310 | 1356 | 0.48 |
| 2022/23 | Aarhus GF | Superliga | LM | 18 | 769 | 39% | 0 | 2 | 0.23 | 0.23 | 1255 | 1331 | 0.47 |
| 2021/22 | Aarhus GF | Superliga | LM | 13 | 483 | 24% | 0 | 1 | 0.19 | 0.34 | 1298 | 1303 | 0.45 |
| 2020/21 | Aarhus GF | Superliga | RW | 19 | 1299 | 66% | 4 | 4 | 0.55 | 0.47 | 1287 | 1335 | 0.43 |
| 2019/20 | Aarhus GF | Superliga | LM | 6 | 94 | 4% | 0 | 0 | 0.00 | 0.29 | 1299 | 1317 | 0.41 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Oddset Pokalen | Aarhus GF | 6 | 492 | 2 | 1 | — |
| 2024/25 | Oddset Pokalen | Aarhus GF | 3 | 209 | 2 | 0 | — |
| 2023/24 | Oddset Pokalen | Aarhus GF | 7 | 556 | 2 | 2 | — |
| 2023/24 | Uefa Conference League Qualifying | Aarhus GF | 1 | 56 | 0 | 0 | 1491 |
| 2022/23 | Oddset Pokalen | Aarhus GF | 3 | 189 | 0 | 0 | — |
| 2021/22 | Uefa Conference League Qualifying | Aarhus GF | 1 | 90 | 0 | 0 | 1409 |
| 2021/22 | Oddset Pokalen | Aarhus GF | 1 | 30 | 0 | 0 | — |
| 2020/21 | Oddset Pokalen | Aarhus GF | 5 | 334 | 1 | 0 | — |
| 2020/21 | Uefa Europa League Qualifying | Aarhus GF | 2 | 108 | 0 | 0 | 1306 |
| 2019/20 | Oddset Pokalen | Aarhus GF | 3 | 209 | 1 | 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 |
|---|---|---|---|---|
| Zeca Super League 1 · 2015 | 27 | €2.0M | €2.0M | flat |
| Rasmus Falk Superliga · 2021 | 29 | €1.5M | €1.0M | fell |
| Lex Immers Eredivisie · 2013 | 27 | €2.0M | €3.0M | rose |
| Milan Gajic Premier Liga · 2023 | 27 | €4.0M | €4.0M | flat |
| Matus Bero Eredivisie · 2023 | 28 | €2.3M | €3.0M | rose |
| Pavlo Ksyonz Premier Liga · 2015 | 28 | €2.5M | €600k | fell |
| Callum McGregor Scottish Premiership · 2019 | 26 | €2.0M | €7.0M | rose |
| Jonathan Delaplace Jupiler Pro League · 2013 | 27 | €2.0M | €1.5M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Sept 2019 | Cape Town City | Aarhus GF | €800k | €350k |
| 5 Jul 2018 | Pyramids FC | Cape Town City | €150k | €100k |
| 17 Jan 2018 | Platinum Stars | Alassiouty SC | Unknown | €50k |
| 8 Jul 2016 | Platinum Youth | Platinum Stars | Unknown | €25k |
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.