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 | 2025-2680 GP | H240 GP | H140 GP | Prev 3241 GP · 3y |
|---|---|---|---|---|---|
| TOI | 22.65 | 22.63 | 22.27 | 20.80 | 22.85 |
| PP TOI | 0.35 | 0.60 | 0.95 | 0.26 | 0.74 |
| G | 9 | 2 | 2 | 2 | 12 |
| A | 24 | 27 | 29 | 25 | 26 |
| PTS | 33 | 29 | 31 | 27 | 38 |
| PPP | 1 | 2 | 4 | 0 | 3 |
| SOG | 162 | 115 | 132 | 97 | 192 |
| PIM | 35 | 52 | 57 | 47 | 34 |
| Hits | 69 | 53 | 50 | 56 | 89 |
| Blocks | 104 | 101 | 108 | 93 | 96 |
Sample: 80 GP · 1,429 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): Power-play minutes corrected down to a rate that matches the role he actually has, which is none. Everything else about his line is a 5v5 and shot-volume read and is untouched. His PP points fall from 2 to about 1, so this is a deployment-honesty fix rather than a points bet, but the card was showing him with a power-play job he does not hold.
Metrics worth highlighting
iSH% ran 64% below his 3-year rate last season (1.95 against 5.36).
We’re projecting shots 41% above last season, 115 to 162.
We’re projecting hits 30% above last season, 53 to 69.
1A/60 finished the year 30% below where it started (0.51 in the first half, 0.35 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 | 22.65 | 22.63 | 22.85 | -1% |
| 5v5 TOI | 18.16 | 17.87 | 17.96 | -0% |
| PP TOI | 0.35 | 0.60 | 0.74 | -18% |
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 | 4.18 | 4.11 | 6.68 | -38% |
| G/60 | 0.11 | 0.08 | 0.36 | -78% |
| iSH% | 4.34 | 1.95 | 5.36 | -64% |
| ixG/60 | – | 0.15 | 0.25 | -41% |
| iCF/60 | – | 10.53 | 14.99 | -30% |
| iSCF/60 | – | 1.89 | 4.02 | -53% |
| iHDCF/60 | – | 0.21 | 0.53 | -60% |
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% | 9.11 | 9.57 | 8.56 | +12% |
| IPP | 38.20 | 37.00 | 39.68 | -7% |
| 1A/60 | 0.44 | 0.42 | 0.53 | -20% |
| 2A/60 | 0.37 | 0.50 | 0.29 | +72% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 0.35 | 0.60 | 0.74 | -18% |
| PP iSH% | 4.89 | 0.00 | 6.44 | -100% |
| PP SOG/60 | 8.36 | 6.20 | 10.42 | -41% |
| PP ixG/60 | – | 0.45 | 0.80 | -44% |
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 | 1.58 | 1.89 | 1.23 | +53% |
| Hits/60 | 2.39 | 1.85 | 3.19 | -42% |
| Blks/60 | 2.64 | 2.43 | 2.32 | +5% |