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 | 2025-2669 GP | H228 GP | H141 GP | Prev 3242 GP · 3y |
|---|---|---|---|---|---|
| TOI | 16.50 | 17.33 | 16.95 | 16.43 | 16.67 |
| PP TOI | 1.31 | 1.30 | 1.54 | 1.14 | 0.84 |
| G | ▼16 | 24 | 22 | 25 | 21 |
| A | ▲21 | 18 | 23 | 14 | 23 |
| PTS | ▼37 | 41 | 45 | 39 | 44 |
| PPP | 4 | 1 | 3 | 0 | 3 |
| SOG | 196 | 209 | 231 | 194 | 195 |
| PIM | 51 | 58 | 60 | 57 | 56 |
| Hits | ▲170 | 181 | 146 | 204 | 139 |
| Blocks | 54 | 57 | 58 | 57 | 54 |
Sample: 69 GP · 908 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): Age 35, and the ice time is already going the wrong way, so this projects decline rather than splitting the difference. His chance quality has been flat for 4 years while his goal totals swung on finishing luck alone, and last season's 24-goal pace was the high end of that swing. The scoring fade for age belongs to his finishing, not his physical game, so the hits get set back to where his own rate and the outside read both put them.
Metrics worth highlighting
PP SOG/60 finished the year 150% above where it started (5.16 in the first half, 15.64 in the second). The projection leans on how the season ended, so the second half counts for more.
Assists ran at a 23 pace in the second half after 14 in the first, per 82 games.
PP TOI ran 54% above his 3-year rate last season (1.30 against 0.84).
iSH% ran 50% above his 3-year rate last season (11.46 against 7.63).
Similar & complementary players
Deployment
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| TOI | 16.50 | 17.33 | 16.67 | +4% |
| 5v5 TOI | 12.48 | 13.16 | 13.74 | -4% |
| PP TOI | 1.31 | 1.30 | 0.84 | +54% |
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 | 8.97 | 9.25 | 8.48 | +9% |
| G/60 | 0.90 | 1.06 | 0.65 | +64% |
| iSH% | 10.00 | 11.46 | 7.63 | +50% |
| ixG/60 | – | 1.02 | 0.97 | +5% |
| iCF/60 | – | 15.33 | 15.99 | -4% |
| iSCF/60 | – | 9.38 | 9.91 | -5% |
| iHDCF/60 | – | 5.28 | 4.75 | +11% |
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% | 8.03 | 9.12 | 7.07 | +29% |
| IPP | 70.09 | 68.27 | 72.83 | -6% |
| 1A/60 | 0.55 | 0.53 | 0.56 | -5% |
| 2A/60 | 0.40 | 0.26 | 0.52 | -50% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 1.31 | 1.30 | 0.84 | +54% |
| PP iSH% | 12.14 | 0.00 | 15.56 | -100% |
| PP SOG/60 | 13.70 | 9.33 | 13.20 | -29% |
| PP ixG/60 | – | 2.05 | 2.45 | -16% |
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 | 2.39 | 2.58 | 2.44 | +6% |
| Hits/60 | 7.78 | 9.51 | 6.90 | +38% |
| Blks/60 | 2.27 | 2.25 | 2.31 | -3% |