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 | 2025-2642 GP | H217 GP | H125 GP | Prev 3239 GP · 3y |
|---|---|---|---|---|---|
| TOI | 11.90 | 11.35 | 11.61 | 11.00 | 13.93 |
| PP TOI | 0.43 | 0.29 | 0.22 | 0.35 | 1.45 |
| G | 11 | 4 | 0 | 7 | 14 |
| A | ▼15 | 14 | 14 | 13 | 21 |
| PTS | ▼26 | 18 | 14 | 20 | 35 |
| PPP | 1 | 0 | 0 | 0 | 5 |
| SOG | 97 | 82 | 70 | 91 | 128 |
| PIM | 34 | 16 | 0 | 26 | 47 |
| Hits | 81 | 123 | 113 | 130 | 78 |
| Blocks | 26 | 35 | 23 | 43 | 28 |
Sample: 42 GP · 453 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 29 -> 26. His job was taken by the fourth-line center who then signed an extension; he was mostly scratched down the stretch (5 GP in Q4) and is a trade/buyout candidate. Outside read has him at 23.5 per-84. Deliberately built as a DEPLOYMENT bet rather than a goal multiplier: this is a minutes story, and a manual G cut pushed him below his ixG floor (the audit's double-fade flag). Landed at 26 rather than the ~24 first targeted because his GOAL FLOOR IS NOW BINDING - chance quality supports ~11 even on cut minutes, and pushing under that would be fighting the process guard. 26 is a hedge between the engine's 29 and the outside 23; take the rest of the fade only if the role news gets worse in camp.
Metrics worth highlighting
PP TOI ran 80% below his 3-year rate last season (0.29 against 1.45).
Hits/60 ran 79% above his 3-year rate last season (8.19 against 4.57).
Blocks ran at a 23 pace in the second half after 43 in the first, per 82 games.
ixG/60 finished the year 42% below where it started (0.72 in the first half, 0.42 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 | 11.90 | 11.35 | 13.93 | -19% |
| 5v5 TOI | 10.32 | 10.81 | 12.11 | -11% |
| PP TOI | 0.43 | 0.29 | 1.45 | -80% |
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 | 5.12 | 5.29 | 6.37 | -17% |
| G/60 | 0.34 | 0.26 | 0.68 | -62% |
| iSH% | 8.30 | 4.91 | 10.75 | -54% |
| ixG/60 | – | 0.62 | 0.78 | -20% |
| iCF/60 | – | 10.05 | 12.20 | -18% |
| iSCF/60 | – | 6.08 | 7.13 | -15% |
| iHDCF/60 | – | 3.30 | 3.57 | -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% | 9.35 | 10.57 | 8.28 | +28% |
| IPP | 51.55 | 45.08 | 64.23 | -30% |
| 1A/60 | 0.53 | 0.53 | 0.48 | +11% |
| 2A/60 | 0.52 | 0.40 | 0.56 | -28% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 0.43 | 0.29 | 1.45 | -80% |
| PP iSH% | 5.58 | 0.00 | 7.15 | -100% |
| PP SOG/60 | 4.86 | 4.85 | 9.66 | -50% |
| PP ixG/60 | – | 0.19 | 1.49 | -87% |
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 | 1.07 | 0.79 | 2.70 | -71% |
| Hits/60 | 6.56 | 8.19 | 4.57 | +79% |
| Blks/60 | 1.93 | 2.11 | 1.66 | +27% |