
Gustaf Lagerbielke
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Gustaf Lagerbielke's performance-implied value at EUR 2.0M-10.8M, below the estimated acquisition range of EUR 6.2M-14.6M. Its 24-month market value projection is EUR 5.4M-14.1M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 33
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 63.2th pct among DEF peers (age-neutral) |
| Age | Neutral | 26.2 years |
| Acquisition cost | Neutral | est. €10.6M vs market €10.0M |
| Expected appreciation | Neutral | -7% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Low | |
| League translation | Moderate | league coefficient 0.58 |
| 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 1268 evaluated DEF players with 900+ minutes.
Performance (last season, league)
- Minutes
- 2391 (78% of available)
- Goals + assists / 90
- 0.07
- Context-adjusted G+A / 90
- 0.05
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 63 (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
- 0.58 (rank 9)
- Team strength (Elo)
- 1533
- Opponent strength
- 1320
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- stable
- Breakout probability
- Age > 23
- Resale range (24m)
- €5.4M – €14.1M
Trajectory drivers: minutes share up 31 pts; changed club; team strength up (+125 Elo); relative output down 52% vs positional peers.
Historical comparables (8): median 2-year value change +14% (IQR -14% to +32%).
Risk profile
Overall: Low
- ⚠League level coefficient 0.58 (1.00 = big-five average): output may not translate.
- ⓘ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
- 66 (DEF)
- Relative output kept
- 57%–168%
- Held a regular role (900+ min)
- 76%
- 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 | SC Braga | Liga Portugal | CB | 28 | 2391 | 78% | 2 | 0 | 0.08 | 0.05 | 1320 | 1533 | 0.58 |
| 2024/25 | FC Twente Enschede | Eredivisie | CB | 20 | 1451 | 47% | 1 | 2 | 0.19 | 0.10 | 1268 | 1409 | 0.50 |
| 2023/24 | Celtic FC | Scottish Premiership | CB | 7 | 408 | 14% | 0 | 0 | 0.00 | 0.03 | 1241 | 1511 | 0.34 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | SC Braga | 14 | 1199 | 0 | 0 | 1507 |
| 2025/26 | Uefa Europa League Qualifying | SC Braga | 5 | 424 | 0 | 0 | 1364 |
| 2025/26 | World Cup | Sweden | 3 | 270 | 0 | 0 | — |
| 2024/25 | Uefa Europa League | FC Twente Enschede | 8 | 543 | 1 | 1 | 1501 |
| 2024/25 | Knvb Beker | FC Twente Enschede | 2 | 180 | 0 | 0 | — |
| 2023/24 | Uefa Champions League | Celtic FC | 2 | 78 | 1 | 0 | 1626 |
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 |
|---|---|---|---|---|
| Cristiano Piccini Liga Portugal · 2018 | 26 | €7.5M | €6.0M | fell |
| Clinton Mata Jupiler Pro League · 2020 | 28 | €6.5M | €8.0M | rose |
| Uros Spajic Jupiler Pro League · 2018 | 25 | €5.0M | €6.5M | rose |
| Carlos Cuesta Jupiler Pro League · 2023 | 24 | €8.0M | €7.0M | flat |
| Sam Beukema Eredivisie · 2023 | 25 | €4.5M | €28.0M | rose |
| Mark McKenzie Jupiler Pro League · 2023 | 24 | €8.0M | €6.0M | fell |
| Vítor Tormena Liga Portugal · 2023 | 27 | €5.0M | €7.0M | rose |
| Georgiy Dzhikiya Premier Liga · 2019 | 26 | €8.5M | €9.0M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 8 Jul 2025 | Celtic | Braga | €2.6M | €3.0M |
| 30 Jun 2025 | FC Twente | Celtic | Free / loan | €3.0M |
| 27 Aug 2024 | Celtic | FC Twente | Free / loan | €2.5M |
| 16 Aug 2023 | Elfsborg | Celtic | €3.4M | €1.2M |
| 30 Nov 2022 | Degerfors | Elfsborg | Free / loan | €600k |
| 21 Jul 2022 | Elfsborg | Degerfors | Free / loan | €400k |
| 10 Aug 2021 | Västerås SK | Elfsborg | €110k | €250k |
| 1 Jan 2021 | Sollentuna FK | Västerås SK | Free / loan | Data unavailable |
| 18 Jan 2019 | AIK U19 | Sollentuna FK | Free / loan | Data unavailable |
| 30 Nov 2018 | Sollentuna FK | AIK U19 | Free / loan | Data unavailable |
| 1 Aug 2018 | AIK U19 | Sollentuna FK | Free / loan | Data unavailable |
| 15 Jul 2018 | Vasalunds IF | AIK U19 | Free / loan | Data unavailable |
| 4 Apr 2018 | AIK U19 | Vasalunds IF | Free / loan | Data unavailable |
| 15 Jul 2017 | Djursholm U19 | AIK 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.