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 | H26 GP | H125-26 | Prev 3thin |
|---|---|---|---|---|---|
| TOI | 15.60 | – | 14.89 | – | – |
| PP TOI | – | – | – | – | – |
| G | 5 | – | – | – | – |
| A | 12 | – | – | – | – |
| PTS | 17 | – | – | – | – |
| PPP | 0 | – | – | – | – |
| SOG | 115 | – | – | – | – |
| PIM | 12 | – | – | – | – |
| Hits | 85 | – | – | – | – |
| Blocks | 125 | – | – | – | – |
Sample: 6 GP · 89 5v5 min (2025-26) — how much ice time backs these rates
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 - 6 NHL games, all in Q4] Manual baseline. He has an NST row but zero points across that 6-game sample, so the engine cannot regress a rate from it and drops him from the projection entirely — he was appearing on the depth chart with no numbers behind him. Built from two directions that roughly agree: extrapolating his own Q4 rates to 82 games gives 123 SOG / 82 hits / 137 blocks, and an outside projection covering 70 games implies 111 / 90 / 116. Set between the two. Scoring anchored just under the outside per-82 read (18.7) since he has yet to record an NHL point. Blocks are the fantasy-relevant category here; no PP role from either source. Per-82; availability separate.
The projection above leans on a small NHL sample plus a role-based estimate. Trend and per-category charts are hidden until there's a fuller season to chart.