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 | 2025-2676 GP | H236 GP | H140 GP | Prev 3208 GP · 3y |
|---|---|---|---|---|---|
| TOI | 17.40 | 18.49 | 17.47 | 17.25 | 17.16 |
| PP TOI | 2.25 | 3.26 | 3.26 | 3.25 | 2.16 |
| G | 24 | 28 | 31 | 26 | 24 |
| A | 29 | 35 | 29 | 39 | 28 |
| PTS | 53 | 63 | 60 | 65 | 52 |
| PPP | ▲13 | 15 | 14 | 16 | 13 |
| SOG | 222 | 218 | 229 | 208 | 238 |
| PIM | 89 | 88 | 100 | 78 | 96 |
| Hits | 107 | 124 | 74 | 170 | 184 |
| Blocks | 45 | 35 | 35 | 34 | 47 |
Sample: 76 GP · 1,004 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): Faded on the power play, harder than the first pass. Barkov's return plus Brady Tkachuk's arrival fills both spots Bennett might have claimed, and his 3.20 PP minutes were earned across a season Barkov missed from start to finish. Minutes go to 2.25, a clean second-unit share, with headline ice time to 17.4. The PP rate lift softens from 1.29 to 1.15 in the same move, because it was written against PP1-level deployment and would otherwise pay him for a job he no longer has. This lands him under the outside read, which applies the same demotion and still projects 60 per 82. That gap is the live risk on him.
Metrics worth highlighting
PP SOG/60 finished the year 100% above where it started (7.60 in the first half, 15.18 in the second). The projection leans on how the season ended, so the second half counts for more.
Hits ran at a 74 pace in the second half after 170 in the first, per 82 games.
PP TOI ran 51% above his 3-year rate last season (3.26 against 2.16).
iSH% ran 59% above his 3-year rate last season (13.20 against 8.31).
Similar & complementary players
Deployment
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| TOI | 17.40 | 18.49 | 17.16 | +8% |
| 5v5 TOI | 13.25 | 13.21 | 13.35 | -1% |
| PP TOI | 2.25 | 3.26 | 2.16 | +51% |
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 | 8.18 | 8.18 | 9.36 | -13% |
| G/60 | 0.93 | 1.08 | 0.78 | +39% |
| iSH% | 11.35 | 13.20 | 8.31 | +59% |
| ixG/60 | – | 1.02 | 0.98 | +4% |
| iCF/60 | – | 16.61 | 16.79 | -1% |
| iSCF/60 | – | 9.80 | 10.09 | -3% |
| iHDCF/60 | – | 4.36 | 4.76 | -8% |
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% | 9.51 | 11.17 | 7.90 | +41% |
| IPP | 65.06 | 67.17 | 61.64 | +9% |
| 1A/60 | 0.67 | 0.72 | 0.63 | +15% |
| 2A/60 | 0.37 | 0.42 | 0.37 | +14% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 2.25 | 3.26 | 2.16 | +51% |
| PP iSH% | 12.93 | 11.09 | 13.45 | -18% |
| PP SOG/60 | 12.96 | 10.91 | 15.88 | -31% |
| PP ixG/60 | – | 2.09 | 2.41 | -13% |
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 | 3.65 | 3.70 | 3.93 | -6% |
| Hits/60 | 5.56 | 6.39 | 9.08 | -30% |
| Blks/60 | 1.98 | 1.85 | 2.14 | -13% |