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: Tommaso Baldanzi · 23 · Attacking midfielder · Genoa CFC · est. acquisition €3.4M – €8.2M
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Unai Gómez Athletic Bilbao · Laliga | 43% | 23 | AM | €5.0M | €2.5M – €7.8M | €3.8M – €10.9M | 53/100 | Risk: Moderate | Estimated acquisition well below performance-implied value | adj. G+A/90 0.39 vs 0.54 |
| Woo-yeong Jeong 1.FC Union Berlin · Bundesliga | 35% | 26 | AM | €3.5M | €1.4M – €4.5M | €2.5M – €6.3M | 53/100 | Risk: Moderate | — | 4 yrs older; 39% of minutes; adj. G+A/90 0.45 vs 0.54 |
| Martim Neto Elche CF · Laliga | 33% | 23 | CM | €4.0M | €2.3M – €6.0M | €2.4M – €8.9M | 62/100 | Risk: Moderate | Goal contributions 2.3x the positional average in the league (context-adjusted); Improving trajectory | plays Central midfielder; 40% of minutes |
| Dermane Karim FC Lorient · Ligue 1 | 30% | 22 | AM | €2.5M | €1.1M – €3.7M | €1.7M – €4.2M | 51/100 | Risk: Moderate | — | 45% of minutes; adj. G+A/90 0.34 vs 0.54 |
| Thomas Lemar Girona FC · Laliga | 28% | 30 | AM | €1.8M | €530k – €1.7M | €2.2M – €4.2M | 77/100 | Risk: High | Estimated acquisition well below performance-implied value | 7 yrs older |
| Alessandro Zanoli Udinese Calcio · Serie A | 27% | 25 | RM | €4.5M | €2.1M – €5.0M | €2.4M – €7.2M | 36/100 | Risk: Moderate | Goal contributions 1.4x the positional average in the league (context-adjusted); Improving trajectory | plays Right midfielder; 2 yrs older; adj. G+A/90 0.31 vs 0.54 |
| Jon Ander Olasagasti Levante UD · Laliga | 26% | 25 | CM | €2.5M | €981k – €2.8M | €2.5M – €6.0M | 73/100 | Risk: Moderate | Goal contributions 1.7x the positional average in the league (context-adjusted); Improving trajectory | plays Central midfielder; 3 yrs older; 51% of minutes; adj. G+A/90 0.37 vs 0.54 |
| Ramón Terrats RCD Espanyol Barcelona · Laliga | 26% | 25 | CM | €3.0M | €1.3M – €3.7M | €2.3M – €4.9M | 56/100 | Risk: Moderate | — | plays Central midfielder; 2 yrs older; adj. G+A/90 0.28 vs 0.54 |
| Emirhan İlkhan Torino FC · Serie A | 26% | 22 | DM | €6.0M | €3.4M – €10.7M | €1.7M – €10.9M | 90/100 | Risk: High | Goal contributions 2.2x the positional average in the league (context-adjusted) | plays Defensive midfielder; adj. G+A/90 0.27 vs 0.54 |
| Jean-Victor Makengo FC Lorient · Ligue 1 | 26% | 28 | AM | €6.0M | €2.0M – €5.4M | €1.5M – €7.8M | 79/100 | Risk: Moderate | Estimated acquisition well below performance-implied value | 5 yrs older; 59% of minutes; adj. G+A/90 0.36 vs 0.54 |
| Matteo Tramoni Pisa Sporting Club · Serie A | 25% | 26 | AM | €4.5M | €2.0M – €4.8M | €596k – €2.3M | 37/100 | Risk: Low | — | 3 yrs older; 47% of minutes; adj. G+A/90 0.43 vs 0.54 |
| Florian Neuhaus Borussia Mönchengladbach · Bundesliga | 25% | 29 | AM | €2.5M | €710k – €2.0M | €1.5M – €3.8M | 74/100 | Risk: Moderate | Estimated acquisition well below performance-implied value | 6 yrs older; adj. G+A/90 0.27 vs 0.54 |
| Jordan Zemura Udinese Calcio · Serie A | 25% | 26 | LM | €5.0M | €1.6M – €4.4M | €4.2M – €8.8M | 85/100 | Risk: Moderate | Estimated acquisition well below performance-implied value | plays Left midfielder; 3 yrs older; adj. G+A/90 0.26 vs 0.54 |
| Junior Dina Ebimbe Stade Brestois 29 · Ligue 1 | 25% | 25 | RM | €6.0M | €2.4M – €6.4M | €2.2M – €8.2M | 82/100 | Risk: High | — | plays Right midfielder; 2 yrs older; 38% of minutes; adj. G+A/90 0.27 vs 0.54 |
| William Mikelbrencis Hamburger SV · Bundesliga | 25% | 22 | RM | €3.0M | €1.6M – €5.4M | €1.5M – €5.9M | 68/100 | Risk: Moderate | Goal contributions 1.5x the positional average in the league (context-adjusted) | plays Right midfielder; 45% of minutes; adj. G+A/90 0.32 vs 0.54 |