🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Dougie Hamilton

NJD · Age 33.1 · 🇨🇦 Canada · 6′6″, 230 lb · Draft 2011, 9th overall (BOS)
NJDteam
Dposition
20position rank
86skater rank
75overall
7offense
67peripherals

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

Per 82 GP2026-27projection2025-2677 GPH240 GPH137 GPPrev 3166 GP · 3y
TOI21.4221.5420.4420.5320.94
PP TOI2.212.082.351.792.84
G1313121318
A3728411346
PTS5040532664
PPP181520925
SOG223216222210258
PIM4953476049
Hits8393929377
Blocks95828084111

Sample: 77 GP · 1,305 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 surge
A
3722-2323-2424-25H1H226-27
all5v5

Assists ran at a 41 pace in the second half after 13 in the first, per 82 games.

Second-half surge
PPP
1822-2323-2424-25H1H226-27

Power play points ran at a 20 pace in the second half after 9 in the first, per 82 games.

Below his 3-year rate
1A/60
0.2322-2323-2424-2525-26

1A/60 ran 47% below his 3-year rate last season (0.23 against 0.43).

Below his 3-year rate
PP TOI
2.2122-2323-2424-2525-2626-27

PP TOI ran 27% below his 3-year rate last season (2.08 against 2.84).

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
  • Darren RaddyshD · Toronto Maple Leafs91% match
    shared: G, SOG, PPP, A
  • Brandon MontourD · Seattle Kraken90% match
    shared: SOG, G, PPP, PIM
  • Jakob ChychrunD · Washington Capitals86% match
    shared: SOG, G, PPP, A
  • Vince DunnD · Seattle Kraken85% match
    shared: SOG, PPP, G, A
Complementary Defense
Same position, opposite profile — strong where Dougie Hamilton 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 · Sheldon Keefe (NJD)
Last year: Sheldon Keefe full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI21.4221.5420.94+3%
5v5 TOI16.7816.9516.72+1%
PP TOI2.212.082.84-27%
By quarter — 2025-26 vs 3-yr baseline
GP  16 · 21 · 22 · 18
TOI*
3-yr 20.9419.79Q1Q2Q3Q4
5v5 TOI
3-yr 16.7216.68Q1Q2Q3Q4
PP TOI
3-yr 2.841.66Q1Q2Q3Q4
*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
21.4222-2323-2424-2525-2626-27
5v5 TOI
16.7822-2323-2424-2525-2626-27
PP TOI
2.2122-2323-2424-2525-2626-27

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/606.686.898.24-16%
G/600.300.280.39-28%
iSH%4.534.064.74-14%
ixG/600.320.35-8%
iCF/6016.2317.93-9%
iSCF/603.825.17-26%
iHDCF/600.600.82-27%
By quarter — 2025-26 vs 3-yr baseline
GP  16 · 21 · 22 · 18
SOG/60
3-yr 8.246.00Q1Q2Q3Q4
iSH%
3-yr 4.746.67Q1Q2Q3Q4
ixG/60
3-yr 0.350.38Q1Q2Q3Q4
iCF/60
3-yr 17.9314.59Q1Q2Q3Q4
iSCF/60
3-yr 5.173.60Q1Q2Q3Q4
iHDCF/60
3-yr 0.820.60Q1Q2Q3Q4
By season — year over year
SOG/60
6.8922-2323-2424-2525-26
iSH%
4.0622-2323-2424-2525-26
ixG/60
0.3222-2323-2424-2525-26
iCF/60
16.2322-2323-2424-2525-26
iSCF/60
3.8222-2323-2424-2525-26
iHDCF/60
0.6022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
1322-2323-2424-25H1H226-27
all5v5
SOG
22322-2323-2424-25H1H226-27
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)
ContextFinishing looks earned: iSH% 4.1% sits near the 4.7% 3-yr mark with 5v5 ixG/60 0.32 (33rd pct league-wide) — goals held close to last year.
RiskShot volume down 16% (5v5 SOG/60 6.89 vs 8.24) — volume is the repeatable half, so this caps the goal ceiling.
TailwindTrajectory: 5v5 ixG/60 climbed 0.29→0.34 across the year — process trending the right way into next season.
RiskAge 33 — modest past-prime drag on scoring rates.

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%7.816.899.32-26%
IPP38.6435.7543.36-18%
1A/600.310.230.43-47%
2A/600.490.230.59-61%
By quarter — 2025-26 vs 3-yr baseline
GP  16 · 21 · 22 · 18
1A/60
3-yr 0.430.20Q1Q2Q3Q4
2A/60
3-yr 0.590.40Q1Q2Q3Q4
By season — year over year
1A/60
0.2322-2323-2424-2525-26
2A/60
0.2322-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
3722-2323-2424-25H1H226-27
all5v5
PTS
5022-2323-2424-25H1H226-27
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)
TailwindIPP 35.7% sits below the 43.4% 3-yr mark — participation should rebound, nudging assists up.
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 TOI2.212.082.84-27%
PP iSH%14.6712.1515.47-21%
PP SOG/6012.2712.3513.99-12%
PP ixG/601.001.25-20%
By quarter — 2025-26 vs 3-yr baseline
GP  16 · 21 · 22 · 18
PP TOI/GP
3-yr 2.841.66Q1Q2Q3Q4
PP SOG/60
3-yr 13.998.02Q1Q2Q3Q4
PP ixG/60
3-yr 1.251.08Q1Q2Q3Q4
By season — year over year
PP TOI/GP
2.0822-2323-2424-2525-26
PP SOG/60
12.3522-2323-2424-2525-26
PP ixG/60
1.0022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
1822-2323-2424-25H1H226-27
PPG
622-2323-2424-25H1H226-27
PPA
1222-2323-2424-25H1H226-27
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)
ContextKeep Hamilton PP1 for now; hold latent PP1 upside on Luke Hughes as an in-season buy.
ContextPP role steady at ~2.2 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/601.892.021.95+4%
Hits/603.193.543.07+15%
Blks/603.452.994.13-28%
By quarter — 2025-26 vs 3-yr baseline
GP  16 · 21 · 22 · 18
PIMs/60
3-yr 1.952.00Q1Q2Q3Q4
Hits/60
3-yr 3.074.20Q1Q2Q3Q4
Blks/60
3-yr 4.133.00Q1Q2Q3Q4
By season — year over year
PIMs/60
2.0222-2323-2424-2525-26
Hits/60
3.5422-2323-2424-2525-26
Blks/60
2.9922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
4922-2323-2424-25H1H226-27
all5v5
HITS
8322-2323-2424-25H1H226-27
all5v5
BLK
9522-2323-2424-25H1H226-27
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)
ContextHits role-stable at 3.54/60 (44th pct league-wide) → 3.19 projected.
ContextBlocks role-stable at 2.99/60 (62nd pct league-wide) → 3.45 projected.