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 | H214 GP | H136 GP | Prev 3241 GP · 3y |
|---|---|---|---|---|---|
| TOI | 17.95 | 18.13 | 16.01 | 17.57 | 17.95 |
| PP TOI | 2.90 | 2.91 | 2.21 | 3.19 | 2.82 |
| G | ▲19 | 16 | 13 | 17 | 19 |
| A | ▲35 | 25 | 13 | 29 | 39 |
| PTS | ▲54 | 41 | 27 | 46 | 58 |
| PPP | 18 | 11 | 12 | 11 | 19 |
| SOG | 139 | 138 | 170 | 125 | 144 |
| PIM | 42 | 67 | 35 | 80 | 40 |
| Hits | 54 | 49 | 46 | 51 | 60 |
| Blocks | 45 | 49 | 47 | 50 | 43 |
Sample: 50 GP · 660 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): Injury-affected 2025-26; bet on a rebound, but HEDGED DOWN 2026-07-27 (CGY pass). We had him at 58 — exactly his prev3 per-82 — for a 33.1-year-old with a four-year Calgary decline coming off hip surgery and a 50-game season. That is a full return to his 3-yr average with no age haircut, which is what the 33+ rule exists to prevent, and it stacked three boosts in the same direction (PP restored to 2.9, G x1.10, A x1.12). PP set of 2.9 KEPT — the H2 PP cliff really was injury-driven, not a lost role. Mults cut instead. Lands ~54-55, at the top of the outside range (51.4 / 53.8 / 55.2), so this is a hedge and not a fade.
Metrics worth highlighting
PP SOG/60 finished the year 146% above where it started (6.30 in the first half, 15.49 in the second). The projection leans on how the season ended, so the second half counts for more.
We’re projecting power play points 64% above last season, 11 to 18.
Assists ran at a 13 pace in the second half after 29 in the first, per 82 games.
PIMs/60 ran 106% above his 3-year rate last season (3.73 against 1.81).
Similar & complementary players
Deployment
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| TOI | 17.95 | 18.13 | 17.95 | +1% |
| 5v5 TOI | 13.03 | 13.21 | 13.63 | -3% |
| PP TOI | 2.90 | 2.91 | 2.82 | +3% |
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 | 5.14 | 5.18 | 5.26 | -1% |
| G/60 | 0.54 | 0.55 | 0.55 | +0% |
| iSH% | 10.54 | 10.62 | 10.41 | +2% |
| ixG/60 | – | 0.65 | 0.62 | +5% |
| iCF/60 | – | 10.54 | 9.75 | +8% |
| iSCF/60 | – | 6.45 | 6.23 | +4% |
| iHDCF/60 | – | 3.63 | 2.83 | +28% |
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% | 7.28 | 6.97 | 8.06 | -14% |
| IPP | 66.76 | 66.51 | 67.42 | -1% |
| 1A/60 | 0.73 | 0.73 | 0.77 | -5% |
| 2A/60 | 0.26 | 0.18 | 0.38 | -53% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 2.90 | 2.91 | 2.82 | +3% |
| PP iSH% | 16.35 | 15.05 | 17.30 | -13% |
| PP SOG/60 | 9.30 | 8.24 | 9.18 | -10% |
| PP ixG/60 | – | 1.44 | 1.41 | +2% |
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 | 2.61 | 3.73 | 1.81 | +106% |
| Hits/60 | 2.49 | 2.36 | 3.01 | -22% |
| Blks/60 | 2.06 | 2.09 | 2.01 | +4% |