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

Blks/60

Blks/60 finished the year 145% above where it started (2.65 in the first half, 6.48 in the second). The projection leans on how the season ended, so the second half counts for more.

Below his 3-year rate

PIMs/60

PIMs/60 ran 89% below his 3-year rate last season (0.37 against 3.47).

Bottom of the league

PP TOI

PP TOI sits in the 4th percentile league-wide (0.01).

Bottom of the league

TOI

TOI sits in the 4th percentile league-wide (9.46).

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

Emil HeinemanLW,RW · New York Islanders88% match
shared: Hits, Blocks
Scott LaughtonLW · Los Angeles Kings82% match
shared: Hits, Blocks
Elias PetterssonC · Vancouver Canucks81% match
shared: Hits, Blocks
Lawson CrouseLW,RW · Utah Mammoth81% match
shared: Hits, Blocks

Complementary Forward

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

Jack HughesC,LW · New Jersey Devilscovers 3
fills: SOG, PPP, A
Clayton KellerLW · Utah Mammothcovers 3
fills: PPP, A, SOG
Artemi PanarinLW · Los Angeles Kingscovers 3
fills: A, PPP, SOG
William NylanderRW · Toronto Maple Leafscovers 3
fills: PPP, SOG, A

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 (NYR, traded): Mike Sullivan full season (1st yr) — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	9.42	9.46	9.27	+2%
5v5 TOI	9.28	9.34	9.15	+2%
PP TOI	0.02	0.01	0.07	-83%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 5 · 2 · 9

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 → 9.42: holds last year's role
5v5 TOI → 9.28: holds last year's role
PP TOI → 0.02: same coach (Andrew Brunette) — carries the elevated finish (2nd half 0.0, Q4 0.0) over the full-year 0.0

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	5.69	5.69	5.01	+14%
G/60	0.65	0.55	0.64	-14%
iSH%	11.47	9.67	12.77	-24%
ixG/60	–	0.77	0.87	-11%
iCF/60	–	9.91	9.12	+9%
iSCF/60	–	6.97	7.45	-6%
iHDCF/60	–	4.59	4.88	-6%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 5 · 2 · 9

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% 9.7% sits near the 12.8% 3-yr mark with 5v5 ixG/60 0.77 (71st pct league-wide) — goals held close to last year.

TailwindShot volume up 14% (5v5 SOG/60 5.69 vs 5.01) — volume is the repeatable half, so this raises 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%	8.46	8.47	8.44	+0%
IPP	50.52	45.54	60.10	-24%
1A/60	0.38	0.37	0.39	-5%
2A/60	0.08	0.00	0.13	-100%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 5 · 2 · 9

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)

TailwindIPP 45.5% sits below the 60.1% 3-yr mark — participation should rebound, nudging assists up.

TailwindShot-driving up (5v5 iCF/60 9.91 vs 9.12) — real creation underneath, so don't over-regress the helpers.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	0.02	0.01	0.07	-83%
PP iSH%	–	n/a	0.00
PP SOG/60	3.41	0.00	17.06	-100%
PP ixG/60	–	0.00	2.41	-100%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 5 · 2 · 9

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)

TailwindPP role projected up: 0.0→0.0 PP TOI/gp (same coach (Andrew Brunette) — carries the elevated finish (2nd half 0.0, Q4 0.0) over the full-year 0.0) — the biggest PPP lever.

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	0.50	0.37	3.47	-89%
Hits/60	11.68	11.93	12.08	-1%
Blks/60	4.59	4.04	4.37	-8%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 5 · 2 · 9

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)

RiskHits tailing off: Q4 9.36/60 and 2nd-half 9.36 below the 11.93 season rate — projected DOWN to 11.68/60, weighting the recent decline over the 12.08 3-yr mark.

TailwindBlocks surging late: Q4 6.48/60 and 2nd-half 6.48 vs a 4.04 season rate (4.37 3-yr) (82nd pct league-wide) — reads as a real role/confidence step, so projected UP to 4.59/60, weighting the finish over the 3-yr baseline.