Transfer Finder
“Find me a cheaper version of this player.” Nearest statistical profiles in the same position group with a lower estimated acquisition cost.
Target: Petar Sučić · 22 · Central midfielder · Inter Milan · est. acquisition €30.5M – €54.8M
Similarity uses age, context-adjusted output, minutes share, performance percentile, league and team strength. Style/role similarity needs event data that the current free source lacks.
| Player | Similarity | Age | Pos | Market value | Est. acquisition | Model value | BI | Risk | Strengths | Differences |
|---|---|---|---|---|---|---|---|---|---|---|
| Senny Mayulu Paris Saint-Germain · Ligue 1 | 47% | 20 | CM | €40.0M | €20.7M – €47.1M | €22.6M – €69.8M | 100/100 | Risk: Moderate | Performance-implied value in the top 12% of MID peers; Strong for age (20): top 0% of same-age peers | 3 yrs younger |
| Luis Henrique Inter Milan · Serie A | 46% | 24 | RM | €22.0M | €17.2M – €30.9M | €16.0M – €38.4M | 40/100 | Risk: Moderate | Performance-implied value in the top 16% of MID peers | plays Right midfielder |
| Niccolò Pisilli Associazione Sportiva Roma · Serie A | 42% | 21 | CM | €30.0M | €22.4M – €41.2M | €12.9M – €33.7M | 38/100 | Risk: Moderate | Performance-implied value in the top 19% of MID peers; Strong for age (22): top 14% of same-age peers | adj. G+A/90 0.24 vs 0.11 |
| Jobe Bellingham Borussia Dortmund · Bundesliga | 42% | 20 | DM | €40.0M | €32.3M – €55.6M | €6.0M – €43.4M | 52/100 | Risk: Low | Performance-implied value in the top 17% of MID peers; Strong for age (21): top 12% of same-age peers | plays Defensive midfielder |
| Khéphren Thuram Juventus FC · Serie A | 39% | 25 | CM | €38.0M | €22.8M – €45.6M | €16.4M – €53.4M | 36/100 | Risk: Low | Performance-implied value in the top 9% of MID peers; 593 minutes in continental competition | 3 yrs older; 72% of minutes |
| Samuele Ricci AC Milan · Serie A | 39% | 24 | CM | €22.0M | €14.0M – €26.9M | €6.7M – €28.6M | 36/100 | Risk: Moderate | Performance-implied value in the top 21% of MID peers | 2 yrs older; adj. G+A/90 0.22 vs 0.11 |
| Miguel Gutiérrez SSC Napoli · Serie A | 39% | 24 | LM | €22.0M | €15.3M – €28.1M | €9.7M – €17.2M | 27/100 | Risk: Moderate | Performance-implied value in the top 23% of MID peers | plays Left midfielder; 2 yrs older |
| Lorenzo Bernasconi Atalanta BC · Serie A | 39% | 22 | LM | €20.0M | €15.8M – €29.6M | €3.2M – €15.7M | 54/100 | Risk: Moderate | Strong for age (23): top 25% of same-age peers; 847 minutes in continental competition | plays Left midfielder |
| Curtis Jones Liverpool FC · Premier League | 38% | 25 | CM | €35.0M | €14.7M – €34.9M | €33.9M – €58.9M | 78/100 | Risk: Moderate | Performance-implied value in the top 4% of MID peers; Estimated acquisition well below performance-implied value | 3 yrs older; stronger league (1.30) |
| Neil El Aynaoui Associazione Sportiva Roma · Serie A | 38% | 25 | CM | €23.0M | €16.3M – €29.7M | €5.2M – €15.2M | 28/100 | Risk: Moderate | 712 minutes in continental competition | 2 yrs older; 29% of minutes |
| Cher Ndour ACF Fiorentina · Serie A | 38% | 21 | CM | €20.0M | €15.4M – €29.0M | €4.0M – €16.1M | 56/100 | Risk: Low | Strong for age (22): top 27% of same-age peers | very similar |
| Simon Sohm Bologna Football Club 1909 · Serie A | 38% | 25 | CM | €8.0M | €5.1M – €11.0M | €3.5M – €9.0M | 38/100 | Risk: Moderate | — | 3 yrs older |
| Andrey Santos Chelsea FC · Premier League | 38% | 22 | CM | €40.0M | €29.0M – €52.9M | €18.8M – €47.0M | 35/100 | Risk: Moderate | Performance-implied value in the top 14% of MID peers; Strong for age (22): top 8% of same-age peers | stronger league (1.30) |
| Arthur Bayer 04 Leverkusen · Bundesliga | 37% | 23 | RM | €8.0M | €5.9M – €12.2M | €6.9M – €15.2M | 60/100 | Risk: Moderate | Improving trajectory; Estimated acquisition well below performance-implied value | plays Right midfielder |
| Sergi Altimira Real Betis Balompié · Laliga | 37% | 24 | CM | €20.0M | €13.9M – €25.9M | €6.3M – €19.1M | 41/100 | Risk: Moderate | 630 minutes in continental competition | 2 yrs older; 35% of minutes; adj. G+A/90 0.20 vs 0.11 |