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 | 2025-2650 GP | H224 GP | H126 GP | Prev 338 GP · 1y |
|---|---|---|---|---|---|
| TOI | 15.94 | 15.67 | 15.33 | 15.41 | 14.89 |
| PP TOI | 0.04 | 0.03 | 0.04 | 0.03 | 0.05 |
| G | 8 | 7 | 10 | 3 | 9 |
| A | 10 | 7 | 7 | 6 | 11 |
| PTS | 18 | 13 | 17 | 10 | 19 |
| PPP | 0 | 0 | 0 | 0 | 0 |
| SOG | 72 | 44 | 63 | 27 | 84 |
| PIM | 82 | 61 | 51 | 69 | 89 |
| Hits | ▼260 | 228 | 184 | 269 | 335 |
| Blocks | 57 | 69 | 60 | 78 | 50 |
Sample: 50 GP · 720 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): Category-defining number in a banger league, which is why it is worth trimming even though the total points barely move. Hits deliberately NOT cut to his 228 pace - he is a real hitter and the role is growing; this only removes the part built on the 38-GP sample.
Metrics worth highlighting
iSH% finished the year 91% above where it started (12.50 in the first half, 23.90 in the second). The projection leans on how the season ended, so the second half counts for more.
SOG/60 ran 49% below his 3-year rate last season (2.17 against 4.22).
Hits ran at a 184 pace in the second half after 269 in the first, per 82 games.
We’re projecting penalty minutes 34% above last season, 61 to 82.
Similar & complementary players
Deployment
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| TOI | 15.94 | 15.67 | 14.89 | +5% |
| 5v5 TOI | 14.64 | 14.41 | 14.20 | +1% |
| PP TOI | 0.04 | 0.03 | 0.05 | -38% |
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 | 2.45 | 2.17 | 4.22 | -49% |
| G/60 | 0.29 | 0.33 | 0.44 | -25% |
| iSH% | 11.86 | 15.21 | 10.43 | +46% |
| ixG/60 | – | 0.11 | 0.16 | -31% |
| iCF/60 | – | 7.25 | 10.89 | -33% |
| iSCF/60 | – | 1.83 | 1.78 | +3% |
| iHDCF/60 | – | 0.25 | 0.11 | +127% |
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% | 10.86 | 10.72 | 11.30 | -5% |
| IPP | 30.97 | 29.78 | 34.60 | -14% |
| 1A/60 | 0.19 | 0.17 | 0.22 | -23% |
| 2A/60 | 0.27 | 0.17 | 0.33 | -48% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 0.04 | 0.03 | 0.05 | -38% |
| PP iSH% | – | n/a | 0.00 | |
| PP SOG/60 | 2.90 | 0.00 | 29.03 | -100% |
| PP ixG/60 | – | 0.00 | 1.43 | -100% |
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 | 3.42 | 3.08 | 4.34 | -29% |
| Hits/60 | 12.53 | 10.91 | 16.45 | -34% |
| Blks/60 | 2.75 | 3.08 | 2.33 | +32% |