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 | 2025-2659 GP | H236 GP | H123 GP | Prev 3216 GP · 3y |
|---|---|---|---|---|---|
| TOI | 18.16 | 18.64 | 18.42 | 17.50 | 19.61 |
| PP TOI | 3.05 | 3.63 | 3.56 | 3.73 | 3.73 |
| G | 18 | 21 | 23 | 17 | 20 |
| A | 45 | 54 | 55 | 53 | 50 |
| PTS | 63 | 75 | 78 | 71 | 70 |
| PPP | 23 | 29 | 36 | 18 | 30 |
| SOG | 163 | 169 | 181 | 151 | 198 |
| PIM | 29 | 28 | 32 | 21 | 30 |
| Hits | 25 | 22 | 13 | 37 | 41 |
| Blocks | 43 | 36 | 41 | 28 | 53 |
Sample: 59 GP · 849 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): Power-play time hedged to 3.05 from a projected 3.51. His Minnesota role was genuinely heavy, 3.34 to 4.05 across 4 seasons, and the engine carries it over intact. That assumes a lot for a winger turning 39 who's changing both teams and coaches, with Panarin, Kempe, Byfield and Clarke ahead of him on the projected top unit. 3.05 sits below all 4 of those seasons while still treating him as a power-play regular, which his 5.89 PP points per 60 last season earns. The scoring rates are untouched: the external set is already higher on him than we are, so this is a hedge on the minutes rather than a call on his hands.
Metrics worth highlighting
Power play points ran at a 36 pace in the second half after 18 in the first, per 82 games.
Hits ran at a 13 pace in the second half after 37 in the first, per 82 games.
PP TOI sits in the 97th percentile league-wide (3.63).
Blks/60 ran 34% below his 3-year rate last season (1.63 against 2.46).
Similar & complementary players
Deployment
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| TOI | 18.16 | 18.64 | 19.61 | -5% |
| 5v5 TOI | 14.00 | 14.39 | 14.78 | -3% |
| PP TOI | 3.05 | 3.63 | 3.73 | -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 | 5.60 | 5.65 | 5.87 | -4% |
| G/60 | 0.49 | 0.49 | 0.53 | -7% |
| iSH% | 8.78 | 8.67 | 8.96 | -3% |
| ixG/60 | – | 0.70 | 0.53 | +33% |
| iCF/60 | – | 11.59 | 11.62 | -0% |
| iSCF/60 | – | 6.85 | 5.96 | +15% |
| iHDCF/60 | – | 2.68 | 2.21 | +21% |
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% | 9.76 | 10.06 | 8.77 | +15% |
| IPP | 72.09 | 73.74 | 66.48 | +11% |
| 1A/60 | 0.94 | 1.06 | 0.83 | +28% |
| 2A/60 | 0.45 | 0.64 | 0.32 | +101% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 3.05 | 3.63 | 3.73 | -3% |
| PP iSH% | 13.59 | 18.16 | 10.27 | +77% |
| PP SOG/60 | 9.86 | 9.25 | 12.29 | -25% |
| PP ixG/60 | – | 1.43 | 1.15 | +24% |
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 | 1.44 | 1.27 | 1.24 | +3% |
| Hits/60 | 1.03 | 1.06 | 1.92 | -45% |
| Blks/60 | 1.89 | 1.63 | 2.46 | -34% |