Per 82 GP	2026-27projection	2025-2678 GP	H239 GP	H139 GP	Prev 3194 GP · 3y
TOI	19.96	20.33	20.81	18.60	17.41
PP TOI	0.08	0.08	0.09	0.07	0.05
G	4	2	2	2	5
A	14	16	21	11	12
PTS	18	18	23	13	17
PPP	0	0	0	0	0
SOG	83	71	80	61	79
PIM	39	32	25	38	46
Hits	147	130	134	127	142
Blocks	155	147	172	122	124

Sample: 78 GP · 1,355 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

95Brady Skjei7

96Mario Ferraro6

97Cole Hutson6

98Zach Whitecloud6

99Brayden Pachal6

100Sam Malinski5

101Luke Schenn4

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

all5v5

Assists ran at a 21 pace in the second half after 11 in the first, per 82 games.

Second-half surge

BLK

all5v5

Blocks ran at a 172 pace in the second half after 122 in the first, per 82 games.

Below his 3-year rate

iSH%

iSH% ran 45% below his 3-year rate last season (3.27 against 5.94).

Below his 3-year rate

SOG/60

SOG/60 ran 25% below his 3-year rate last season (2.75 against 3.64).

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

Martin FehervaryD · Washington Capitals90% match
shared: Hits, Blocks
Adam LarssonD · Seattle Kraken86% match
shared: Hits, Blocks
Brayden McNabbD · Vegas Golden Knights86% match
shared: Hits, Blocks
Braden SchneiderD · New York Rangers85% match
shared: Hits, Blocks

Complementary Defense

Same position, opposite profile — strong where Zach Whitecloud is weak or average, light where he’s strong

Quinn HughesD · Minnesota Wildcovers 3
fills: A, PPP, SOG
Zach WerenskiD · Columbus Blue Jacketscovers 3
fills: SOG, A, PPP
Cale MakarD · Colorado Avalanchecovers 3
fills: A, PPP, SOG
Evan BouchardD · Edmonton Oilerscovers 3
fills: A, PPP, SOG

Profile shape — per-82 category values vs the league p99 for the position (same scale as the hero bars)

This player

the profile below

vs Similar

similar players hug the shape

vs Complementary

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 · Ryan Huska (CGY)

Last year (VGK, traded): Ryan Huska CGY · pre-trade → John Tortorella VGK · acquired mid-season (small sample) — in-season change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	19.96	20.33	17.41	+17%
5v5 TOI	17.84	17.37	15.78	+10%
PP TOI	0.08	0.08	0.05	+75%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 22 · 17

TOI*

5v5 TOI

PP TOI

*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

5v5 TOI

PP TOI

TOI → 19.96: holds last year's role
5v5 TOI → 17.84: same coach (Ryan Huska) — carries the elevated finish (2nd half 18.5, Q4 18.7) over the full-year 17.4
PP TOI → 0.08: holds last year's role

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	2.75	2.75	3.64	-25%
G/60	0.12	0.09	0.22	-58%
iSH%	5.14	3.27	5.94	-45%
ixG/60	–	0.12	0.17	-30%
iCF/60	–	7.97	9.23	-14%
iSCF/60	–	2.13	2.67	-20%
iHDCF/60	–	0.27	0.37	-27%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 22 · 17

SOG/60

iSH%

ixG/60

iCF/60

iSCF/60

iHDCF/60

By season — year over year

SOG/60

iSH%

ixG/60

iCF/60

iSCF/60

iHDCF/60

Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection

all5v5

SOG

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% 3.3% sits near the 5.9% 3-yr mark with 5v5 ixG/60 0.12 (7th pct league-wide) — goals held close to last year.

RiskShot volume down 25% (5v5 SOG/60 2.75 vs 3.64) — volume is the repeatable half, so this caps the goal ceiling.

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%	8.38	8.45	8.29	+2%
IPP	31.26	30.41	32.29	-6%
1A/60	0.23	0.22	0.26	-14%
2A/60	0.29	0.35	0.27	+27%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 22 · 17

1A/60

2A/60

By season — year over year

1A/60

2A/60

Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection

all5v5

PTS

all5v5

Regression read — where next year's /60 rate lands and why (process over finishing)

ContextAssist environment looks normal (on-ice SH% 8.5%, IPP 30.4%).

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.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	0.08	0.08	0.05	+75%
PP iSH%	0.00	0.00	n/a
PP SOG/60	12.14	9.47	0.00
PP ixG/60	–	0.21	0.63	-67%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 22 · 17

PP TOI/GP

PP SOG/60

PP ixG/60

By season — year over year

PP TOI/GP

PP SOG/60

PP ixG/60

Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection

PPP

PPG

PPA

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 ~0.1 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	2025-26	Prev 3	Diff
PIMs/60	1.48	1.33	2.08	-36%
Hits/60	5.50	5.00	6.25	-20%
Blks/60	5.25	4.96	4.84	+2%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 22 · 17

PIMs/60

Hits/60

Blks/60

By season — year over year

PIMs/60

Hits/60

Blks/60

Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection

PIM

all5v5

HITS

all5v5

BLK

all5v5

Regression read — where next year's /60 rate lands and why (process over finishing)

ContextHits role-stable at 5.00/60 (60th pct league-wide) → 5.50 projected.

TailwindBlocks surging late: Q4 6.59/60 and 2nd-half 5.76 vs a 4.96 season rate (4.84 3-yr) (92nd pct league-wide) — reads as a real role/confidence step, so projected UP to 5.25/60, weighting the finish over the 3-yr baseline.