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 | 2025-2649 GP | H226 GP | H123 GP | Prev 377 GP · 1y |
|---|---|---|---|---|---|
| TOI | 10.24 | 9.12 | 8.50 | 9.63 | 14.97 |
| PP TOI | 0.17 | 0.12 | 0.07 | 0.17 | 1.54 |
| G | ▲7 | 3 | 3 | 4 | 11 |
| A | ▲16 | 3 | 6 | -0 | 27 |
| PTS | ▲23 | 7 | 9 | 3 | 37 |
| PPP | 0 | 0 | 0 | 0 | 3 |
| SOG | 82 | 70 | 79 | 61 | 124 |
| PIM | 23 | 10 | 13 | 7 | 42 |
| Hits | 120 | 139 | 131 | 148 | 148 |
| Blocks | 25 | 13 | 13 | 14 | 43 |
Sample: 49 GP · 435 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): HEDGED DOWN 2026-07-27 (CGY pass). We had him at 28, which rested on applying a x1.35 boost toward his Islanders rookie pace (~37 per-82) — but that pace came from top-nine minutes, and the engine gives him 10.24 TOI in Calgary. We were applying a rookie-year RATE to a fourth-liner's ICE TIME. The outside read has him 4th line at ~14 per-84 over 65 GP, and the other source does not project him at all. Cut to x1.12, lands ~22-23: still above the outside 14 (which under-rates ~148 hits/82 and a real rookie season) but well off our 28. Also fixed a stale 'team': 'New York Islanders' field that survived the trade to Calgary.
Metrics worth highlighting
iHDCF/60 finished the year 136% above where it started (1.97 in the first half, 4.64 in the second). The projection leans on how the season ended, so the second half counts for more.
ixG/60 finished the year 58% above where it started (0.52 in the first half, 0.81 in the second). The projection leans on how the season ended, so the second half counts for more.
1A/60 ran 61% below his 3-year rate last season (0.28 against 0.71).
Blks/60 ran 51% below his 3-year rate last season (1.10 against 2.25).
Similar & complementary players
Deployment
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| TOI | 10.24 | 9.12 | 14.97 | -39% |
| 5v5 TOI | 9.64 | 8.89 | 13.14 | -32% |
| PP TOI | 0.17 | 0.12 | 1.54 | -92% |
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 | 5.87 | 5.79 | 6.11 | -5% |
| G/60 | 0.38 | 0.28 | 0.47 | -40% |
| iSH% | 6.49 | 4.84 | 7.69 | -37% |
| ixG/60 | – | 0.66 | 0.83 | -20% |
| iCF/60 | – | 12.40 | 14.11 | -12% |
| iSCF/60 | – | 5.79 | 7.41 | -22% |
| iHDCF/60 | – | 3.31 | 3.56 | -7% |
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% | 6.75 | 5.26 | 9.19 | -43% |
| IPP | 54.29 | 44.35 | 70.50 | -37% |
| 1A/60 | 0.46 | 0.28 | 0.71 | -61% |
| 2A/60 | 0.42 | 0.00 | 0.65 | -100% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 0.17 | 0.12 | 1.54 | -92% |
| PP iSH% | – | n/a | 9.90 | |
| PP SOG/60 | 1.01 | 0.00 | 5.05 | -100% |
| PP ixG/60 | – | 1.12 | 1.59 | -30% |
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 | 1.12 | 0.83 | 1.84 | -55% |
| Hits/60 | 10.03 | 11.30 | 8.12 | +39% |
| Blks/60 | 1.49 | 1.10 | 2.25 | -51% |