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 adj | 2025-2682 GP | H243 GP | H139 GP | Prev 3129 GP · 2y |
|---|---|---|---|---|---|
| TOI | 17.32 | 17.60 | 16.76 | 16.81 | 15.34 |
| PP TOI | 3.30 | 3.44 | 3.23 | 3.68 | 1.73 |
| G | ▲41 | 37 | 40 | 34 | 31 |
| A | ▲32 | 27 | 27 | 27 | 18 |
| PTS | ▲73 | 64 | 67 | 61 | 48 |
| PPP | 24 | 30 | 27 | 34 | 11 |
| SOG | 244 | 229 | 231 | 226 | 223 |
| PIM | 28 | 24 | 27 | 21 | 27 |
| Hits | 23 | 27 | 18 | 37 | 29 |
| Blocks | 35 | 28 | 20 | 37 | 38 |
Sample: 82 GP · 1,093 5v5 min (2025-26) — how much ice time backs these rates
Counts = projected deployment × projected /60 rate, per 82 GP. Rates regress off the process metric (ixG, shot-driving), not last year's finishing %. PP points = projected PP rate (anchored on the 2nd-half PP1 role, finishing regressed) × projected PP TOI.
Context-adjusted (▲/▼ vs the rate-model baseline): Baseline line is his 2025-26 Vegas season (already PP1 at 3.44 PP TOI). No PP-TOI bet: 'primary PP1 shooter' in NYR is a lateral role, not a minutes increase, so it stays baked in the baseline rather than double-counting via a deploy bump. Volume shooter; 40G/70pt ceiling, held a touch under.
Metrics worth highlighting
PP TOI ran 99% above his 3-year rate last season (3.44 against 1.73).
Hits ran at a 18 pace in the second half after 37 in the first, per 82 games.
Blks/60 finished the year 55% below where it started (2.00 in the first half, 0.90 in the second). The projection leans on how the season ended, so the second half counts for more.
1A/60 ran 53% above his 3-year rate last season (0.60 against 0.39).
Similar & complementary players
Deployment
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| TOI | 17.32 | 17.60 | 15.34 | +15% |
| 5v5 TOI | 13.35 | 13.34 | 13.14 | +2% |
| PP TOI | 3.30 | 3.44 | 1.73 | +99% |
Shooting — volume & conversion
How much and how well he shoots — volume (SOG), finishing (% vs chance quality), and the individual shot-quality funnel (iCF ⊇ iSCF ⊇ iHDCF).
| Metric (5v5) | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| SOG/60 | 7.75 | 7.63 | 9.80 | -22% |
| G/60 | 0.90 | 0.82 | 1.20 | -32% |
| iSH% | 11.64 | 10.75 | 12.28 | -12% |
| ixG/60 | – | 0.86 | 1.00 | -14% |
| iCF/60 | – | 16.46 | 17.14 | -4% |
| iSCF/60 | – | 9.27 | 9.88 | -6% |
| iHDCF/60 | – | 3.95 | 4.18 | -5% |
Assists — playmaking & on-ice offense
Primary vs secondary helpers, plus the on-ice offense and luck signals underneath them.
| Metric (5v5) | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| on-ice SH% | 9.35 | 9.44 | 9.05 | +4% |
| IPP | 68.37 | 68.22 | 68.83 | -1% |
| 1A/60 | 0.50 | 0.60 | 0.39 | +53% |
| 2A/60 | 0.34 | 0.33 | 0.35 | -7% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 3.30 | 3.44 | 1.73 | +99% |
| PP iSH% | 20.31 | 25.63 | 20.31 | +26% |
| PP SOG/60 | 16.26 | 16.58 | 17.21 | -4% |
| PP ixG/60 | – | 2.84 | 2.48 | +14% |
Physical — PIM · hits · blocks
Peripheral counting categories. Noisier and scorer-biased — read as role over the years, not pure talent.
| Metric (5v5) | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PIMs/60 | 1.35 | 1.21 | 1.41 | -14% |
| Hits/60 | 1.24 | 1.43 | 1.62 | -12% |
| Blks/60 | 1.35 | 1.43 | 2.09 | -32% |