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 351 GP · 1y |
|---|---|---|---|---|---|
| TOI | 15.80 | 15.87 | 15.04 | 15.63 | 13.52 |
| PP TOI | 2.71 | 2.78 | 2.72 | 2.85 | 1.41 |
| G | ▲24 | 25 | 24 | 25 | 11 |
| A | ▲33 | 27 | 23 | 32 | 19 |
| PTS | ▲57 | 52 | 47 | 57 | 30 |
| PPP | ▲17 | 17 | 16 | 18 | 6 |
| SOG | ▲170 | 169 | 136 | 204 | 142 |
| PIM | 18 | 25 | 21 | 29 | 13 |
| Hits | 78 | 78 | 82 | 74 | 72 |
| Blocks | 28 | 31 | 34 | 28 | 23 |
Sample: 82 GP · 1,027 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): Goal/assist split corrected — the prior set read G 18 / A 33. The TOTAL was right (51 against a 52-point pace) but the split was inverted: his own rates paced 24.9 goals and 27.1 assists, so roughly seven goals had been moved into the assist column. Because PTS re-derives as G+A, the total looked correct everywhere and the error stayed invisible. Goals set to 24 (his own pace; the two outside reads land 23.7 and 25.6) and assists held at 33, which is already above his 27.1 pace and inside both reads. The original bet this entry was built on still stands: his 2025-26 power play was real (2.78 TOI, 4.47 points/60, ~17 PPP pace) and his PP time projects at or above Quinn's.
Metrics worth highlighting
PP TOI ran 98% above his 3-year rate last season (2.78 against 1.41).
iSH% ran 110% above his 3-year rate last season (11.50 against 5.48).
PP SOG/60 finished the year 52% below where it started (13.22 in the first half, 6.39 in the second). The projection leans on how the season ended, so the second half counts for more.
Shots ran at a 136 pace in the second half after 204 in the first, per 82 games.
Similar & complementary players
Deployment
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| TOI | 15.80 | 15.87 | 13.52 | +17% |
| 5v5 TOI | 12.34 | 12.53 | 11.77 | +6% |
| PP TOI | 2.71 | 2.78 | 1.41 | +98% |
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 | 7.49 | 7.65 | 7.30 | +5% |
| G/60 | 0.69 | 0.88 | 0.40 | +120% |
| iSH% | 9.21 | 11.50 | 5.48 | +110% |
| ixG/60 | – | 1.13 | 0.85 | +33% |
| iCF/60 | – | 14.42 | 15.90 | -9% |
| iSCF/60 | – | 9.05 | 7.40 | +22% |
| iHDCF/60 | – | 5.72 | 3.60 | +59% |
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% | 9.62 | 10.68 | 7.46 | +43% |
| IPP | 62.98 | 61.27 | 68.18 | -10% |
| 1A/60 | 0.70 | 0.70 | 0.70 | +0% |
| 2A/60 | 0.38 | 0.35 | 0.40 | -13% |
Power play
PP opportunity and finishing — modelled separately from 5v5.
| Metric | 26-27 proj | 2025-26 | Prev 3 | Diff |
|---|---|---|---|---|
| PP TOI | 2.71 | 2.78 | 1.41 | +98% |
| PP iSH% | 23.37 | 24.36 | 23.09 | +5% |
| PP SOG/60 | 7.53 | 9.73 | 10.87 | -10% |
| PP ixG/60 | – | 2.23 | 2.76 | -19% |
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 | 1.00 | 1.34 | 0.60 | +123% |
| Hits/60 | 4.39 | 4.32 | 4.50 | -4% |
| Blks/60 | 1.61 | 1.75 | 1.40 | +25% |