🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Josh Morrissey

WPG · Age 31.3 · 🇨🇦 Canada · 6′0″, 185 lb · Draft 2013, 13th overall (WPG)
WPGteam
Dposition
23position rank
94skater rank
71overall
25offense
46peripherals

Value over replacement, based on 82 games played.
Ideal for H2H 12-team banger category leagues, 16 roster spots.

Per 82 GP2026-27projection2025-2677 GPH237 GPH140 GPPrev 3239 GP · 3y
TOI24.6324.7224.0122.8524.27
PP TOI3.123.113.083.143.28
G1315161314
A5144335357
PTS6458496771
PPP2117161824
SOG168154170140185
PIM3532352937
Hits5238324478
Blocks116126109141108

Sample: 77 GP · 1,504 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)
offenseperipheralsvalue over replacement

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.

Metrics worth highlighting

The charts that move this projection — where he broke from his own 3-year rate, where the season split in half, and where we’re taking the number next year
Second-half fade
1A/60
3-yr 0.580.45Q1Q2Q3Q4

1A/60 finished the year 65% below where it started (0.88 in the first half, 0.31 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half surge
PP SOG/60
3-yr 6.5010.08Q1Q2Q3Q4

PP SOG/60 finished the year 52% above where it started (6.21 in the first half, 9.44 in the second). The projection leans on how the season ended, so the second half counts for more.

Above his 3-year rate
iSH%
10.6022-2323-2424-2525-26

iSH% ran 52% above his 3-year rate last season (10.60 against 6.96).

Below his 3-year rate
Hits/60
1.1622-2323-2424-2525-26

Hits/60 ran 56% below his 3-year rate last season (1.16 against 2.66).

Picked automatically from every chart on this card, ranked by how far each number moved. Each claim is measured off the chart drawn beside it.

Similar & complementary players

Similar makeup Defense
Closest across all seven categories — match % is the whole-profile fit
  • Victor HedmanD · Tampa Bay Lightning90% match
    shared: A, PPP, SOG, G
  • John CarlsonD · Tampa Bay Lightning89% match
    shared: A, G, SOG, PPP
  • Seth JonesD · Florida Panthers88% match
    shared: PPP, SOG, G, A
  • Evan BouchardD · Edmonton Oilers87% match
    shared: A, G, PPP, SOG
Complementary Defense
Same position, opposite profile — strong where Josh Morrissey is weak or average, light where he’s strong
Profile shape — per-82 category values vs the league p99 for the position (same scale as the hero bars)
This player
GAPPPSOGPIMHitsBlocks
the profile below
vs Similar
GAPPPSOGPIMHitsBlocks
similar players hug the shape
vs Complementary
GAPPPSOGPIMHitsBlocks
complements fill the gaps

Deployment

Deployment projection — next-year TOI & PP TOI vs the last two years (the role that drives every count)
Coaching
2026-27 · Scott Arniel (WPG)
Last year: Scott Arniel full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI24.6324.7224.27+2%
5v5 TOI19.7919.5419.43+1%
PP TOI3.123.113.28-5%
By quarter — 2025-26 vs 3-yr baseline
GP  19 · 21 · 17 · 20
TOI*
3-yr 24.2723.87Q1Q2Q3Q4
5v5 TOI
3-yr 19.4320.15Q1Q2Q3Q4
PP TOI
3-yr 3.282.98Q1Q2Q3Q4
*Total TOI by quarter reconstructs 5v5+PP quarterly totals plus a held-flat season PK/GP — NST has no all-strength quarterly export. Level is accurate; quarter-to-quarter movement comes from 5v5+PP.
By season — year over year
TOI
24.6322-2323-2424-2525-2626-27
5v5 TOI
19.7922-2323-2424-2525-2626-27
PP TOI
3.1222-2323-2424-2525-2626-27

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
2025-26Prev 3Diff
SOG/604.154.155.37-23%
G/600.330.440.37+18%
iSH%8.0510.606.96+52%
ixG/600.200.27-26%
iCF/609.8112.17-19%
iSCF/603.033.39-11%
iHDCF/600.360.53-32%
By quarter — 2025-26 vs 3-yr baseline
GP  19 · 21 · 17 · 20
SOG/60
3-yr 5.373.87Q1Q2Q3Q4
iSH%
3-yr 6.9611.63Q1Q2Q3Q4
ixG/60
3-yr 0.270.25Q1Q2Q3Q4
iCF/60
3-yr 12.179.68Q1Q2Q3Q4
iSCF/60
3-yr 3.393.13Q1Q2Q3Q4
iHDCF/60
3-yr 0.530.74Q1Q2Q3Q4
By season — year over year
SOG/60
4.1522-2323-2424-2525-26
iSH%
10.6022-2323-2424-2525-26
ixG/60
0.2022-2323-2424-2525-26
iCF/60
9.8122-2323-2424-2525-26
iSCF/60
3.0322-2323-2424-2525-26
iHDCF/60
0.3622-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
1322-2323-2424-25H1H226-27
all5v5
SOG
16822-2323-2424-25H1H226-27
all5v5
The blue 26-27 point is our projection. The bold line is all situations; the muted line under it is 5v5 alone, so the gap between them is his special-teams production. Full seasons are true per-82 counts; the 2025-26 H1/H2 reconstruct all-strength from the 5v5+PP quarterly exports plus the season's held-flat PK/other. The projected 5v5 point is the engine's even-strength share of the total, converted to 5v5 by his own 5v5-to-even-strength split, so overtime and 4-on-4 scoring stays out of it.
Regression read — where next year's /60 rate lands and why (process over finishing)
RiskGoals projected DOWN: iSH% ran hot at 10.6% vs a 7.0% 3-yr mark while 5v5 ixG/60 0.20 (22nd pct league-wide) was flat — finishing, not process. Regressing iSH% toward 8.1% pulls the goal rate ~24% down.
RiskShot volume down 23% (5v5 SOG/60 4.15 vs 5.37) — volume is the repeatable half, so this caps the goal ceiling.
TailwindTrajectory: 5v5 ixG/60 climbed 0.15→0.24 across the year — process trending the right way into next season.

Assists — playmaking & on-ice offense

Primary vs secondary helpers, plus the on-ice offense and luck signals underneath them.

Metric (5v5)26-27
proj
2025-26Prev 3Diff
on-ice SH%10.1811.559.19+26%
IPP47.5745.4850.28-10%
1A/600.550.600.58+3%
2A/600.430.320.49-35%
By quarter — 2025-26 vs 3-yr baseline
GP  19 · 21 · 17 · 20
1A/60
3-yr 0.580.45Q1Q2Q3Q4
2A/60
3-yr 0.490.15Q1Q2Q3Q4
By season — year over year
1A/60
0.6022-2323-2424-2525-26
2A/60
0.3222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
5122-2323-2424-25H1H226-27
all5v5
PTS
6422-2323-2424-25H1H226-27
all5v5
The blue 26-27 point is our projection. The bold line is all situations; the muted line under it is 5v5 alone, so the gap between them is his special-teams production. Full seasons are true per-82 counts; the 2025-26 H1/H2 reconstruct all-strength from the 5v5+PP quarterly exports plus the season's held-flat PK/other. The projected 5v5 point is the engine's even-strength share of the total, converted to 5v5 by his own 5v5-to-even-strength split, so overtime and 4-on-4 scoring stays out of it.
Regression read — where next year's /60 rate lands and why (process over finishing)
RiskOn-ice SH% hot at 11.6% vs a 9.2% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.
ContextDefenseman — weight transition/PP facilitation over raw 2A; secondary assists read a touch better for D than forwards.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI3.123.113.28-5%
PP iSH%7.836.448.27-22%
PP SOG/607.647.776.50+19%
PP ixG/600.610.70-13%
By quarter — 2025-26 vs 3-yr baseline
GP  19 · 21 · 17 · 20
PP TOI/GP
3-yr 3.282.98Q1Q2Q3Q4
PP SOG/60
3-yr 6.5010.08Q1Q2Q3Q4
PP ixG/60
3-yr 0.700.74Q1Q2Q3Q4
By season — year over year
PP TOI/GP
3.1122-2323-2424-2525-26
PP SOG/60
7.7722-2323-2424-2525-26
PP ixG/60
0.6122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
2122-2323-2424-25H1H226-27
PPG
422-2323-2424-25H1H226-27
PPA
1722-2323-2424-25H1H226-27
The blue 26-27 point is our projection. PPG and PPA are the 2 halves of the PPP above them, split by the projection's own goal/assist mix. PP-only, so the halves are exact.
Regression read — where next year's /60 rate lands and why (process over finishing)
ContextPP role steady at ~3.1 PP TOI/gp.

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
2025-26Prev 3Diff
PIMs/601.070.961.31-26%
Hits/601.561.162.66-56%
Blks/603.583.913.51+11%
By quarter — 2025-26 vs 3-yr baseline
GP  19 · 21 · 17 · 20
PIMs/60
3-yr 1.310.60Q1Q2Q3Q4
Hits/60
3-yr 2.661.04Q1Q2Q3Q4
Blks/60
3-yr 3.512.83Q1Q2Q3Q4
By season — year over year
PIMs/60
0.9622-2323-2424-2525-26
Hits/60
1.1622-2323-2424-2525-26
Blks/60
3.9122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
3522-2323-2424-25H1H226-27
all5v5
HITS
5222-2323-2424-25H1H226-27
all5v5
BLK
11622-2323-2424-25H1H226-27
all5v5
The blue 26-27 point is our projection. The bold line is all situations; the muted line under it is 5v5 alone, so the gap between them is his special-teams production. Full seasons are true per-82 counts; the 2025-26 H1/H2 reconstruct all-strength from the 5v5+PP quarterly exports plus the season's held-flat PK/other. The projected 5v5 point is the engine's even-strength share of the total, converted to 5v5 by his own 5v5-to-even-strength split, so overtime and 4-on-4 scoring stays out of it.
Regression read — where next year's /60 rate lands and why (process over finishing)
RiskHits tailing off: Q4 1.04/60 and 2nd-half 0.87 below the 1.16 season rate — projected DOWN to 1.56/60, weighting the recent decline over the 2.66 3-yr mark.
RiskBlocks tailing off: Q4 2.83/60 and 2nd-half 3.25 below the 3.91 season rate — projected DOWN to 3.58/60, weighting the recent decline over the 3.51 3-yr mark.