Output is real: finishing sits in line with xG.
Small sample — 23 apps, 836 min. Treat the percentiles with caution.
Shows up against the best — output holds against top-third opponents.
| Stat | Top third | Middle | Bottom third |
|---|---|---|---|
| Matches | 6 | 6 | 6 |
| Tackles /90 | 1.40 | 1.18 | 1.94 |
| Interceptions /90 | 0.28 | 0.59 | 0.97 |
| Key passes /90 | 0.84 | 0.00 | 0.48 |
| Take-ons /90 | 1.40 | 2.37 | 0.48 |
| Pass accuracy | 76.9% | 75.7% | 64.3% |
Adjustment v1.1 · calibrated against 1401 league transitions + 1004 cross-league cup fixtures · methodology
Ahead of his age group: 88th percentile for take-ons among midfielders aged 25–29.
vs midfielders aged 25–29 · 261 peers · pool pct → age bandProfiles like R. Loftus-Cheek — midfielders with this shape at 27.
Watch the downside: progression (6th pct) is a real weakness for the role.
Reliable: form in line with his season rate — no meaningful swings.
Top underlying game: 0.75 xG vs Coventry, 1 goal.