🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Nick Suzuki

MTL · Age 27.0 · 🇨🇦 Canada · 5′11″, 208 lb · Draft 2017, 13th overall (VGK)
MTLteam
Cposition
11position rank
26skater rank
114overall
85offense
29peripherals

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

Per 82 GP2026-27projection2025-2682 GPH241 GPH141 GPPrev 3246 GP · 3y
TOI20.8220.8219.0518.8420.81
PP TOI3.753.543.683.403.48
G3229283030
A6472875748
PTS961011158777
PPP3643444225
SOG185183184182173
PIM2728401626
Hits6062626261
Blocks6162576756

Sample: 82 GP · 1,203 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingCentre · league-wide (of 271)
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.

Context brain — deployment, role, coaching & injury signals (why the line should move)
TailwindHold an elite top-line center line; stable high-end value. · Apples & Ginos Fantasy Hockey (Blake Cramer)

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
iSH%
3-yr 14.2619.24Q1Q2Q3Q4

iSH% finished the year 110% above where it started (7.21 in the first half, 15.14 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half surge
1A/60
3-yr 0.691.21Q1Q2Q3Q4

1A/60 finished the year 66% above where it started (0.90 in the first half, 1.50 in the second). The projection leans on how the season ended, so the second half counts for more.

Above his 3-year rate
PP ixG/60
2.1422-2323-2424-2525-26

PP ixG/60 ran 70% above his 3-year rate last season (2.14 against 1.26).

Top of the league
PP TOI
3.7522-2323-2424-2525-2626-27

PP TOI sits in the 96th percentile league-wide (3.54).

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 Forward
Closest across all seven categories — match % is the whole-profile fit
  • Mark StoneRW · Vegas Golden Knights89% match
    shared: PPP, A, Blocks, G
  • Aleksander BarkovC · Florida Panthers87% match
    shared: PPP, A, Blocks
  • Mika ZibanejadC,RW · New York Rangers87% match
    shared: PPP, A, Blocks, G
  • Mitch MarnerC,LW,RW · Vegas Golden Knights84% match
    shared: A, PPP, Blocks
Complementary Forward
Same position, opposite profile — strong where Nick Suzuki 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 · Martin St. Louis (MTL)
Last year: Martin St. Louis full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI20.8220.8220.81+0%
5v5 TOI14.7214.6714.81-1%
PP TOI3.753.543.48+2%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 21 · 21 · 20
TOI*
3-yr 20.8119.38Q1Q2Q3Q4
5v5 TOI
3-yr 14.8114.85Q1Q2Q3Q4
PP TOI
3-yr 3.483.81Q1Q2Q3Q4
*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
20.8222-2323-2424-2525-2626-27
5v5 TOI
14.7222-2323-2424-2525-2626-27
PP TOI
3.7522-2323-2424-2525-2626-27

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/605.395.395.42-1%
G/600.660.600.77-22%
iSH%12.3211.1314.26-22%
ixG/600.650.58+13%
iCF/6011.6710.26+14%
iSCF/606.185.77+7%
iHDCF/602.392.37+1%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 21 · 21 · 20
SOG/60
3-yr 5.425.25Q1Q2Q3Q4
iSH%
3-yr 14.2619.24Q1Q2Q3Q4
ixG/60
3-yr 0.580.57Q1Q2Q3Q4
iCF/60
3-yr 10.2611.31Q1Q2Q3Q4
iSCF/60
3-yr 5.775.86Q1Q2Q3Q4
iHDCF/60
3-yr 2.373.23Q1Q2Q3Q4
By season — year over year
SOG/60
5.3922-2323-2424-2525-26
iSH%
11.1322-2323-2424-2525-26
ixG/60
0.6522-2323-2424-2525-26
iCF/60
11.6722-2323-2424-2525-26
iSCF/60
6.1822-2323-2424-2525-26
iHDCF/60
2.3922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
3222-2323-2424-25H1H226-27
all5v5
SOG
18522-2323-2424-25H1H226-27
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)
TailwindGoals projected UP: iSH% cratered to 11.1% vs 14.3% 3-yr while 5v5 ixG/60 0.65 (56th pct league-wide) held/rose — the chances say the finishing rebounds toward 12.3%, lifting the goal rate ~11%.
ContextTrajectory: 5v5 ixG/60 fell from 0.73 (1st half) to 0.56 (2nd) even though shot volume held — a chance-quality dip, not a volume one.

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%12.0312.4410.91+14%
IPP62.8162.4064.47-3%
1A/601.001.200.69+74%
2A/600.570.450.59-24%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 21 · 21 · 20
1A/60
3-yr 0.691.21Q1Q2Q3Q4
2A/60
3-yr 0.590.81Q1Q2Q3Q4
By season — year over year
1A/60
1.2022-2323-2424-2525-26
2A/60
0.4522-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
6422-2323-2424-25H1H226-27
all5v5
PTS
9622-2323-2424-25H1H226-27
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 12.4% vs a 10.9% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.
TailwindShot-driving up (5v5 iCF/60 11.67 vs 10.26) — real creation underneath, so don't over-regress the helpers.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI3.753.543.48+2%
PP iSH%21.4323.3820.01+17%
PP SOG/609.459.718.42+15%
PP ixG/602.141.26+70%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 21 · 21 · 20
PP TOI/GP
3-yr 3.483.81Q1Q2Q3Q4
PP SOG/60
3-yr 8.4210.25Q1Q2Q3Q4
PP ixG/60
3-yr 1.261.73Q1Q2Q3Q4
By season — year over year
PP TOI/GP
3.5422-2323-2424-2525-26
PP SOG/60
9.7122-2323-2424-2525-26
PP ixG/60
2.1422-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
3622-2323-2424-25H1H226-27
PPG
1122-2323-2424-25H1H226-27
PPA
2522-2323-2424-25H1H226-27
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)
TailwindRaise baseline toward 80 points with a strong hits floor. · Apples & Ginos Fantasy Hockey
ContextPP role steady at ~3.7 PP TOI/gp.
TailwindPP chance quality up (PP ixG/60 2.14 vs 1.26) — a real process gain, the kind that sustains PP points.

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/600.790.601.04-42%
Hits/602.762.842.64+8%
Blks/602.322.442.19+11%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 21 · 21 · 20
PIMs/60
3-yr 1.040.81Q1Q2Q3Q4
Hits/60
3-yr 2.642.63Q1Q2Q3Q4
Blks/60
3-yr 2.192.02Q1Q2Q3Q4
By season — year over year
PIMs/60
0.6022-2323-2424-2525-26
Hits/60
2.8422-2323-2424-2525-26
Blks/60
2.4422-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
2722-2323-2424-25H1H226-27
all5v5
HITS
6022-2323-2424-25H1H226-27
all5v5
BLK
6122-2323-2424-25H1H226-27
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)
TailwindRaise baseline toward 80 points with a strong hits floor. · Apples & Ginos Fantasy Hockey
ContextHits role-stable at 2.84/60 (36th pct league-wide) → 2.76 projected.
RiskBlocks tailing off: Q4 2.02/60 and 2nd-half 2.20 below the 2.44 season rate — projected DOWN to 2.32/60, weighting the recent decline over the 2.19 3-yr mark.