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 | 2025-2682 GP | H242 GP | H140 GP | Prev 3197 GP · 3y |
|---|---|---|---|---|---|
| TOI | 22.25 | 22.34 | 21.21 | 21.21 | 21.65 |
| PP TOI | 2.85 | 1.61 | 1.42 | 1.80 | 1.18 |
| G | ▲13 | 11 | 4 | 18 | 12 |
| A | ▲38 | 31 | 38 | 24 | 26 |
| PTS | ▲51 | 42 | 42 | 42 | 38 |
| PPP | 13 | 7 | 8 | 6 | 4 |
| SOG | 119 | 109 | 109 | 109 | 101 |
| PIM | 53 | 48 | 64 | 31 | 57 |
| Hits | 70 | 50 | 42 | 59 | 104 |
| Blocks | 107 | 93 | 84 | 102 | 111 |
Sample: 82 GP · 1,473 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): Baseline is his 2025-26 Buffalo season; breakout on Chicago's PP1 + top pair. PP1-QB minutes at 2.85 carry the promotion honestly; goals a notch above his career line (13% on 120 SOG was rich). Assist mult cut 1.15 -> 1.06 because the deploy bet already pays for the PP1 assists - the extra mult was inventing an even-strength step forward his four flat EV seasons (1.25/1.26/1.30/1.30 P60) do not support. Lands ~50, between the two outside reads.
Metrics worth highlighting
We’re projecting power play points 86% above last season, 7 to 13.
We’re projecting PP TOI 78% above last season, 1.61 to 2.85.
Goals ran at a 4 pace in the second half after 18 in the first, per 82 games.
Penalty minutes ran at a 64 pace in the second half after 31 in the first, per 82 games.
Similar & complementary players
Deployment
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| TOI | 22.25 | 22.34 | 21.65 | +3% |
| 5v5 TOI | 18.01 | 17.97 | 18.13 | -1% |
| PP TOI | 2.85 | 1.61 | 1.18 | +37% |
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 | 3.38 | 3.38 | 3.34 | +1% |
| G/60 | 0.36 | 0.33 | 0.39 | -15% |
| iSH% | 10.68 | 9.76 | 11.60 | -16% |
| ixG/60 | – | 0.28 | 0.23 | +23% |
| iCF/60 | – | 7.57 | 7.95 | -5% |
| iSCF/60 | – | 2.61 | 2.62 | -0% |
| iHDCF/60 | – | 0.69 | 0.64 | +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% | 10.76 | 11.04 | 10.04 | +10% |
| IPP | 41.09 | 41.08 | 41.12 | -0% |
| 1A/60 | 0.45 | 0.49 | 0.37 | +32% |
| 2A/60 | 0.46 | 0.41 | 0.44 | -6% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 2.85 | 1.61 | 1.18 | +37% |
| PP iSH% | 7.43 | 6.73 | 7.99 | -16% |
| PP SOG/60 | 6.84 | 6.84 | 6.48 | +6% |
| PP ixG/60 | – | 1.04 | 0.73 | +43% |
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 | 1.78 | 1.63 | 2.00 | -18% |
| Hits/60 | 2.47 | 1.83 | 3.83 | -52% |
| Blks/60 | 3.30 | 3.14 | 3.75 | -16% |