Output is real: finishing sits in line with xG.
Small sample — 16 apps, 578 min. Treat the percentiles with caution.
Shows up against the best — output holds against top-third opponents.
| Stat | Top third | Middle | Bottom third |
|---|---|---|---|
| Matches | 3 | 3 | 8 |
| Tackles /90 | 0.57 | 1.09 | 1.17 |
| Interceptions /90 | 1.15 | 0.55 | 0.58 |
| Blocks /90 | 1.72 | 0.55 | 0.00 |
| Duels won /90 | 1.72 | 1.09 | 3.51 |
| Pass accuracy | 86.2% | 60.5% | 80.0% |
Adjustment v1.1 · calibrated against 1401 league transitions + 1004 cross-league cup fixtures · methodology
Middle of his age group: 48th percentile for take-ons among midfielders aged 25–29.
vs midfielders aged 25–29 · 261 peers · pool pct → age bandProfiles like D. Møller Wolfe — midfielders with this shape at 27.
Watch the downside: progression (1st pct) is a real weakness for the role.
Valuation holding steady.
Top underlying game: 0.09 xG vs Fatih Karagümrük.