Per 82 GP	2026-27projection	2025-2682 GP	H241 GP	H141 GP	Prev 3243 GP · 3y
TOI	22.42	22.61	22.16	20.60	21.66
PP TOI	1.04	1.12	0.70	1.54	1.15
G	9	3	3	3	14
A	25	23	21	25	26
PTS	34	26	24	28	40
PPP	6	3	2	4	10
SOG	138	111	96	126	179
PIM	40	40	44	36	41
Hits	66	70	78	62	64
Blocks	88	84	91	77	79

Sample: 82 GP · 1,426 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

92Niko Mikkola7

93Emil Lilleberg7

94Erik Cernak7

95Brady Skjei7

96Mario Ferraro6

97Cole Hutson6

98Zach Whitecloud6

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

PP TOI

PP TOI finished the year 53% below where it started (1.56 in the first half, 0.73 in the second). The projection leans on how the season ended, so the second half counts for more.

Below his 3-year rate

iSH%

iSH% ran 63% below his 3-year rate last season (2.16 against 5.85).

Second-half fade

PP SOG/60

PP SOG/60 finished the year 60% below where it started (6.97 in the first half, 2.79 in the second). The projection leans on how the season ended, so the second half counts for more.

We project it up

PTS

all5v5

We’re projecting points 31% above last season, 26 to 34.

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

Gustav ForslingD · Florida Panthers91% match
Carter YakemchukD · Ottawa Senators87% match
Vladislav GavrikovD · New York Rangers86% match
Tony DeAngeloD · New York Islanders84% match

Complementary Defense

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

Cale MakarD · Colorado Avalanchecovers 3
fills: A, PPP, SOG
Zach WerenskiD · Columbus Blue Jacketscovers 3
fills: SOG, A, PPP
Quinn HughesD · Minnesota Wildcovers 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 · Andrew Brunette (NSH)

Last year: Andrew Brunette full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	22.42	22.61	21.66	+4%
5v5 TOI	17.85	17.40	17.25	+1%
PP TOI	1.04	1.12	1.15	-2%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 21 · 22 · 19

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 → 22.42: holds last year's role
5v5 TOI → 17.85: same coach (Andrew Brunette) — carries the elevated finish (2nd half 18.6, Q4 18.4) over the full-year 17.4
PP TOI → 1.04: role tapered late (Q4 1.1 vs 1.1 full-year) — projected toward the softer finish

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	3.48	3.70	6.39	-42%
G/60	0.10	0.08	0.37	-79%
iSH%	4.75	2.16	5.85	-63%
ixG/60	–	0.16	0.28	-42%
iCF/60	–	9.17	14.18	-35%
iSCF/60	–	2.86	3.82	-25%
iHDCF/60	–	0.25	0.62	-59%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 21 · 22 · 19

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% 2.2% sits near the 5.9% 3-yr mark with 5v5 ixG/60 0.16 (16th pct league-wide) — goals held close to last year.

RiskShot volume down 42% (5v5 SOG/60 3.70 vs 6.39) — volume is the repeatable half, so this caps the goal ceiling.

ContextTrajectory: 5v5 ixG/60 fell from 0.19 (1st half) to 0.12 (2nd).

RiskAge 32 — 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	2025-26	Prev 3	Diff
on-ice SH%	8.53	9.36	7.07	+32%
IPP	32.79	29.03	45.41	-36%
1A/60	0.32	0.38	0.27	+40%
2A/60	0.31	0.25	0.36	-30%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 21 · 22 · 19

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)

RiskOn-ice SH% hot at 9.4% vs a 7.1% 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.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	1.04	1.12	1.15	-2%
PP iSH%	9.54	0.00	17.04	-100%
PP SOG/60	5.75	7.18	8.83	-19%
PP ixG/60	–	0.99	0.67	+49%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 21 · 22 · 19

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 ~1.0 PP TOI/gp.

TailwindPP finishing ran cold (0.0% vs 17.0%) over steady PP chances — PP goals should rebound.

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	1.44	1.43	1.55	-7%
Hits/60	2.35	2.52	2.42	+4%
Blks/60	2.51	2.44	2.61	-6%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 21 · 22 · 19

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 2.52/60 (31st pct league-wide) → 2.35 projected.

ContextBlocks role-stable at 2.44/60 (48th pct league-wide) → 2.51 projected.