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 | 2025-2682 GP | H241 GP | H141 GP | Prev 3245 GP · 3y |
|---|---|---|---|---|---|
| TOI | 16.81 | 16.92 | 15.97 | 16.30 | 16.04 |
| PP TOI | 0.99 | 1.11 | 0.78 | 1.44 | 1.90 |
| G | 19 | 20 | 24 | 16 | 16 |
| A | 19 | 18 | 18 | 18 | 22 |
| PTS | 38 | 38 | 42 | 34 | 38 |
| PPP | 2 | 3 | 0 | 6 | 4 |
| SOG | 174 | 142 | 133 | 151 | 160 |
| PIM | 36 | 28 | 40 | 16 | 37 |
| Hits | 54 | 49 | 31 | 67 | 78 |
| Blocks | 60 | 52 | 47 | 57 | 47 |
Sample: 82 GP · 1,066 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): NEW 2026-07-27 (CGY pass). Cleanest bump on the Calgary board: we had him at 33 when his last-year per-82 is 38 AND his prev3 per-82 is 38 — we were below every version of him. This fills a gap the engine has rather than fighting it. Deliberately a DEPLOY-ONLY bet: no rate multiplier, because the claim is purely that his minutes were mis-read, not that his rates are wrong. PP LEFT ALONE at 0.99 — that cut is real and well-sampled over 82 GP, and Gridin/Zary/Sharangovich all compete for PP2. Lands 38, matching one outside read (37.4/39.6) and under the other's 41. CAVEAT: the ev bump carries SOG to 174, above both his last-year per-82 (142) and prev3 (160) and above the outside read's 151 — the shot volume is the softest part of this bet.
Metrics worth highlighting
iSH% finished the year 150% above where it started (5.58 in the first half, 17.70 in the second). The projection leans on how the season ended, so the second half counts for more.
PP SOG/60 finished the year 150% above where it started (4.96 in the first half, 16.48 in the second). The projection leans on how the season ended, so the second half counts for more.
We’re projecting shots 23% above last season, 142 to 174.
We’re projecting penalty minutes 29% above last season, 28 to 36.
Similar & complementary players
Deployment
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| TOI | 16.81 | 16.92 | 16.04 | +5% |
| 5v5 TOI | 13.18 | 13.01 | 13.10 | -1% |
| PP TOI | 0.99 | 1.11 | 1.90 | -42% |
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 | 6.26 | 6.36 | 7.37 | -14% |
| G/60 | 0.70 | 0.73 | 0.79 | -7% |
| iSH% | 11.17 | 11.48 | 10.66 | +8% |
| ixG/60 | – | 0.70 | 0.71 | -2% |
| iCF/60 | – | 11.42 | 12.75 | -10% |
| iSCF/60 | – | 6.58 | 7.14 | -8% |
| iHDCF/60 | – | 3.32 | 3.48 | -4% |
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% | 7.86 | 7.62 | 8.16 | -7% |
| IPP | 68.98 | 67.56 | 70.73 | -4% |
| 1A/60 | 0.50 | 0.45 | 0.63 | -29% |
| 2A/60 | 0.27 | 0.34 | 0.33 | +2% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 0.99 | 1.11 | 1.90 | -42% |
| PP iSH% | 5.58 | 8.34 | 3.58 | +133% |
| PP SOG/60 | 9.50 | 7.91 | 7.23 | +9% |
| PP ixG/60 | – | 1.22 | 1.11 | +10% |
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 | 1.61 | 1.35 | 1.94 | -31% |
| Hits/60 | 2.58 | 2.70 | 4.13 | -35% |
| Blks/60 | 2.26 | 2.19 | 2.35 | -7% |