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: Enzo Le Fée · 26 · Left midfielder · Sunderland AFC · est. acquisition €20.0M – €34.3M
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Brenden Aaronson Leeds United · Premier League | 44% | 25 | AM | €22.0M | €9.9M – €23.3M | €8.4M – €31.9M | 94/100 | Risk: Low | Performance-implied value in the top 15% of MID peers | plays Attacking midfielder |
| Anton Stach Leeds United · Premier League | 37% | 27 | CM | €28.0M | €17.1M – €33.7M | €10.1M – €31.4M | 26/100 | Risk: Low | Performance-implied value in the top 12% of MID peers; Goal contributions 1.8x the positional average in the league (context-adjusted) | plays Central midfielder; 70% of minutes; adj. G+A/90 0.39 vs 0.48 |
| Marcus Tavernier AFC Bournemouth · Premier League | 37% | 27 | AM | €25.0M | €11.9M – €28.1M | €24.7M – €51.4M | 66/100 | Risk: Low | Performance-implied value in the top 3% of MID peers; Undisputed starter (80% of league minutes) | plays Attacking midfielder |
| Federico Dimarco Inter Milan · Serie A | 32% | 28 | LM | €50.0M | €17.7M – €40.7M | €45.8M – €66.1M | 62/100 | Risk: Low | Performance-implied value in the top 1% of MID peers; Goal contributions 2.2x the positional average in the league (context-adjusted) | 2 yrs older; weaker league (0.93) |
| Fábio Vieira Hamburger SV · Bundesliga | 32% | 26 | CM | €18.0M | €6.8M – €15.0M | €5.2M – €27.4M | 87/100 | Risk: Low | Performance-implied value in the top 18% of MID peers; Goal contributions 2.0x the positional average in the league (context-adjusted) | plays Central midfielder; weaker league (0.94) |
| Fabian Rieder FC Augsburg · Bundesliga | 31% | 24 | AM | €12.0M | €7.9M – €17.6M | €4.1M – €12.3M | 54/100 | Risk: Low | Undisputed starter (81% of league minutes); Improving trajectory | plays Attacking midfielder; 2 yrs younger; weaker league (0.94) |
| Romano Schmid SV Werder Bremen · Bundesliga | 31% | 26 | AM | €15.0M | €5.5M – €13.0M | €5.6M – €26.5M | 89/100 | Risk: Low | Performance-implied value in the top 18% of MID peers; Undisputed starter (98% of league minutes) | plays Attacking midfielder; weaker league (0.94) |
| Alexis Claude-Maurice FC Augsburg · Bundesliga | 31% | 28 | AM | €15.0M | €5.1M – €13.2M | €4.1M – €11.8M | 57/100 | Risk: Low | Performance-implied value in the top 24% of MID peers | plays Attacking midfielder; weaker league (0.94); 69% of minutes |
| Mikkel Damsgaard Brentford FC · Premier League | 30% | 25 | AM | €30.0M | €13.6M – €34.2M | €34.3M – €60.0M | 25/100 | Risk: Low | Performance-implied value in the top 4% of MID peers; Estimated acquisition well below performance-implied value | plays Attacking midfielder; 60% of minutes; adj. G+A/90 0.36 vs 0.48 |
| Aarón Martín Genoa CFC · Serie A | 30% | 29 | LM | €5.0M | €1.4M – €3.9M | €4.2M – €9.6M | 46/100 | Risk: Moderate | Performance-implied value in the top 23% of MID peers; Goal contributions 1.5x the positional average in the league (context-adjusted) | 3 yrs older; weaker league (0.93); 63% of minutes; adj. G+A/90 0.34 vs 0.48 |
| Nadiem Amiri 1.FSV Mainz 05 · Bundesliga | 29% | 29 | CM | €17.0M | €7.0M – €16.6M | €10.5M – €48.2M | 16/100 | Risk: Low | Performance-implied value in the top 9% of MID peers; Goal contributions 2.0x the positional average in the league (context-adjusted) | plays Central midfielder; 3 yrs older; weaker league (0.94); 68% of minutes |
| Jurgen Ekkelenkamp Udinese Calcio · Serie A | 29% | 26 | CM | €10.0M | €5.8M – €11.9M | €4.5M – €13.8M | 46/100 | Risk: Low | Goal contributions 1.8x the positional average in the league (context-adjusted); Improving trajectory | plays Central midfielder; weaker league (0.93); 65% of minutes; adj. G+A/90 0.40 vs 0.48 |
| Wouter Burger TSG 1899 Hoffenheim · Bundesliga | 29% | 25 | DM | €20.0M | €15.1M – €28.2M | €3.2M – €17.1M | 44/100 | Risk: Low | Goal contributions 2.5x the positional average in the league (context-adjusted) | plays Defensive midfielder; weaker league (0.94); adj. G+A/90 0.32 vs 0.48 |
| Pablo Fornals Real Betis Balompié · Laliga | 29% | 30 | CM | €8.0M | €3.5M – €8.2M | €11.2M – €27.8M | 37/100 | Risk: Low | Performance-implied value in the top 5% of MID peers; Goal contributions 1.7x the positional average in the league (context-adjusted) | plays Central midfielder; 4 yrs older; weaker league (0.95); adj. G+A/90 0.37 vs 0.48 |
| Nikola Vlašić Torino FC · Serie A | 29% | 28 | CM | €10.0M | €3.4M – €8.9M | €6.6M – €18.0M | 78/100 | Risk: Low | Performance-implied value in the top 17% of MID peers; Goal contributions 1.5x the positional average in the league (context-adjusted) | plays Central midfielder; 2 yrs older; weaker league (0.93); adj. G+A/90 0.33 vs 0.48 |