
Philip Billing
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Philip Billing's performance-implied value at EUR 3.6M-11.6M, above the estimated acquisition range of EUR 2.0M-5.8M. Its 24-month market value projection is EUR 1.6M-4.5M. Context-adjusted goal contributions are 0.70x the positional average in the league (1166 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: 27
What drives the score. Not a black box: each component and its level.
| Performance | High | 75.5th pct among MID peers (age-neutral) |
| Age | Unfavorable | 30.1 years |
| Acquisition cost | Very favorable | est. €3.4M vs market €6.0M |
| Expected appreciation | Very low | -53% over ~2 years (model) |
| Value gap | 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 | 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
- 1166 (59% of available)
- Goals + assists / 90
- 0.31
- Context-adjusted G+A / 90
- 0.15
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 76 (High)
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 1)
- Team strength (Elo)
- 1562
- Opponent strength
- 1256
- 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)
- €1.6M – €4.5M
Historical comparables (8): median 2-year value change -44% (IQR -59% to -22%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1166 league minutes last season.
- ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
- ⚠Age 30: resale value typically declines.
- ⓘ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 | FC Midtjylland | Superliga | CM | 14 | 1166 | 59% | 2 | 2 | 0.31 | 0.15 | 1256 | 1562 | 0.47 |
| 2024/25 | SSC Napoli | Serie A | CM | 10 | 189 | 6% | 1 | 0 | 0.48 | 0.18 | 1462 | 1660 | 0.99 |
| 2024/25 | AFC Bournemouth | Premier League | CM | 10 | 176 | 5% | 0 | 0 | 0.00 | 0.17 | 1538 | 1582 | 1.23 |
| 2023/24 | AFC Bournemouth | Premier League | CM | 29 | 1393 | 41% | 2 | 2 | 0.26 | 0.28 | 1586 | 1496 | 1.14 |
| 2022/23 | AFC Bournemouth | Premier League | AM | 36 | 2787 | 81% | 7 | 1 | 0.26 | 0.37 | 1558 | 1425 | 1.23 |
| 2019/20 | AFC Bournemouth | Premier League | CM | 34 | 2533 | 74% | 1 | 1 | 0.07 | 0.15 | 1590 | 1415 | 1.14 |
| 2018/19 | Huddersfield Town | Premier League | CM | 27 | 2191 | 64% | 2 | 0 | 0.08 | 0.16 | 1513 | 1321 | 1.22 |
| 2017/18 | Huddersfield Town | Premier League | CM | 16 | 760 | 22% | 0 | 0 | 0.00 | 0.16 | 1561 | 1409 | 1.15 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | FC Midtjylland | 9 | 704 | 1 | 2 | 1504 |
| 2025/26 | Oddset Pokalen | FC Midtjylland | 6 | 435 | 0 | 0 | — |
| 2023/24 | Fa Cup | AFC Bournemouth | 2 | 209 | 0 | 2 | — |
| 2022/23 | Fa Cup | AFC Bournemouth | 1 | 90 | 0 | 0 | — |
| 2019/20 | Fa Cup | AFC Bournemouth | 1 | 90 | 2 | 0 | — |
| 2017/18 | Fa Cup | Huddersfield Town | 4 | 278 | 0 | 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 |
|---|---|---|---|---|
| Éder Balanta Jupiler Pro League · 2022 | 29 | €5.0M | €1.2M | fell |
| José Alberto Cañas Super League 1 · 2017 | 30 | €2.5M | €1.3M | fell |
| Fernando Super Lig · 2018 | 31 | €5.8M | €8.0M | rose |
| Ryan Jack Scottish Premiership · 2023 | 31 | €3.0M | €1.0M | fell |
| Adel Taarabt Liga Portugal · 2020 | 31 | €4.0M | €2.5M | fell |
| Érick Gutiérrez Eredivisie · 2022 | 27 | €7.0M | €6.0M | flat |
| Ibrahim Afellay Super League 1 · 2015 | 29 | €4.0M | €3.0M | fell |
| Thomas Murg Super League 1 · 2024 | 30 | €1.8M | €800k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 26 Aug 2025 | Bournemouth | Midtjylland | €5.0M | €10.0M |
| 30 Jun 2025 | Napoli | Bournemouth | Free / loan | €10.0M |
| 11 Jan 2025 | Bournemouth | Napoli | Free / loan | €14.0M |
| 29 Jul 2019 | Huddersfield | Bournemouth | €16.5M | €7.0M |
| 1 Jul 2015 | Huddersf. U18 | Huddersfield | Unknown | Data unavailable |
| 9 Oct 2013 | Esbjerg Youth | Huddersf. U18 | 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.