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 | 2025-2681 GP | H241 GP | H140 GP | Prev 3240 GP · 3y |
|---|---|---|---|---|---|
| TOI | 19.24 | 19.31 | 17.77 | 17.89 | 18.95 |
| PP TOI | 3.20 | 3.08 | 2.79 | 3.38 | 2.92 |
| G | 36 | 36 | 45 | 28 | 35 |
| A | 41 | 37 | 37 | 38 | 38 |
| PTS | 77 | 74 | 82 | 66 | 73 |
| PPP | 19 | 12 | 12 | 12 | 22 |
| SOG | 240 | 229 | 220 | 237 | 250 |
| PIM | 56 | 59 | 60 | 57 | 56 |
| Hits | ▲120 | 128 | 89 | 169 | 113 |
| Blocks | 33 | 40 | 25 | 54 | 35 |
Sample: 81 GP · 1,150 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): Hits set to 120. He hit at 4.9 per 60 last season, his highest mark in 4 years, and his per-82 band across 2022-26 runs 100 to 129. The engine lands at 106, below that band, because the base rate averages in a softer 2024-25. 120 sits between last season's 129 and the multi-year middle, and matches the external 123. Power-play time set to 3.20, a career high across the 4 seasons on file, where his previous best is 3.11 and the engine projected 3.05. With Kopitar and Kuzmenko gone he's the only returning lock on the top unit, and he already ran 3.63 through the first quarter of last season, so the room is there.
Metrics worth highlighting
We’re projecting power play points 58% above last season, 12 to 19.
Goals ran at a 45 pace in the second half after 28 in the first, per 82 games.
Blks/60 finished the year 64% below where it started (2.49 in the first half, 0.89 in the second). The projection leans on how the season ended, so the second half counts for more.
Similar & complementary players
Deployment
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| TOI | 19.24 | 19.31 | 18.95 | +2% |
| 5v5 TOI | 14.16 | 14.21 | 13.45 | +6% |
| PP TOI | 3.20 | 3.08 | 2.92 | +5% |
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 | 8.24 | 8.24 | 9.03 | -9% |
| G/60 | 1.14 | 1.30 | 1.12 | +16% |
| iSH% | 13.79 | 15.78 | 12.36 | +28% |
| ixG/60 | – | 0.73 | 0.77 | -5% |
| iCF/60 | – | 17.52 | 17.72 | -1% |
| iSCF/60 | – | 8.03 | 8.57 | -6% |
| iHDCF/60 | – | 2.82 | 3.11 | -9% |
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% | 10.21 | 10.47 | 9.87 | +6% |
| IPP | 74.99 | 81.88 | 70.11 | +17% |
| 1A/60 | 0.66 | 0.63 | 0.61 | +2% |
| 2A/60 | 0.37 | 0.42 | 0.34 | +25% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 3.20 | 3.08 | 2.92 | +5% |
| PP iSH% | 13.58 | 9.07 | 14.85 | -39% |
| PP SOG/60 | 10.43 | 10.58 | 13.26 | -20% |
| PP ixG/60 | – | 1.30 | 1.73 | -25% |
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 | 2.18 | 2.09 | 2.44 | -14% |
| Hits/60 | 5.06 | 6.15 | 5.35 | +15% |
| Blks/60 | 1.24 | 1.67 | 1.44 | +16% |