Overview
@HockeyBangers
Value over replacement, based on 82 games played.
Ideal for H2H 12-team banger category leagues, 16 roster spots.
| Per 82 GP | 2026-27projection | 2025-26thin | H225-26 | H125-26 | Prev 3thin |
|---|---|---|---|---|---|
| TOI | 16.00 | – | – | – | – |
| PP TOI | 2.50 | – | – | – | – |
| G | 16 | – | – | – | – |
| A | 44 | – | – | – | – |
| PTS | 60 | – | – | – | – |
| PPP | 14 | – | – | – | – |
| SOG | 120 | – | – | – | – |
| PIM | 15 | – | – | – | – |
| Hits | 60 | – | – | – | – |
| Blocks | 23 | – | – | – | – |
Manual baseline: no usable NHL sample to regress, so the line is set from a prospect projection (role, upside comparable, multi-year ceiling) blended with any 2025-26 NHL data. Not an engine regression; edit in adjustments.json.
Context-adjusted (▲/▼ vs the rate-model baseline): [LOW-CONF - no NHL sample; rookie manual baseline] Created because he was missing entirely while an outside set projects a 79-game first-unit role at 65 points (67.5 per-82) — too large a hole to leave on the board. Held BELOW that at 60, the same discount applied to McKenna: a first-year projection with no NHL sample to anchor on carries the widest error of anything published here, and this one rests on a single source. Assist-lean shape follows the outside read (17 G / 48 A). Manual path, so the set values ARE the projection. REVIEW AT SAN JOSE with a second source before trusting the number.
The projection above is a role-based estimate built from his projected deployment and a 3-year outlook — not a statistical projection off NHL play. Trend and per-category charts appear once he logs NHL games.