Per 82 GP	2026-27projection	2025-2660 GP	H220 GP	H140 GP	Prev 3233 GP · 3y
TOI	13.69	13.78	13.17	13.57	14.07
PP TOI	1.34	1.47	1.25	1.60	1.25
G	10	11	7	13	10
A	19	8	19	4	25
PTS	29	19	27	17	35
PPP	6	3	0	4	7
SOG	97	105	101	106	105
PIM	37	38	34	42	39
Hits	97	104	99	103	100
Blocks	48	51	52	51	47

Sample: 60 GP · 672 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingCentre · league-wide (of 271)

134Conor Geekie-17

135Luke Kunin-17

136Morgan Barron-18

137Vladislav Namestnikov-18

138Tommy Novak-19

139Sheldon Dries-21

140Noah Laba-21

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 ixG/60

PP ixG/60 finished the year 86% below where it started (2.16 in the first half, 0.30 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half fade

PP SOG/60

PP SOG/60 finished the year 75% below where it started (11.12 in the first half, 2.83 in the second). The projection leans on how the season ended, so the second half counts for more.

Below his 3-year rate

2A/60

2A/60 ran 71% below his 3-year rate last season (0.18 against 0.62).

Below his 3-year rate

1A/60

1A/60 ran 23% below his 3-year rate last season (0.36 against 0.47).

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

Scott LaughtonLW · Los Angeles Kings90% match
shared: Blocks, Hits
Easton CowanC,RW · Toronto Maple Leafs89% match
shared: Hits
Jake NeighboursLW,RW · St. Louis Blues89% match
shared: Blocks, Hits
Erik HaulaC,LW · Los Angeles Kings89% match
shared: Hits, Blocks

Complementary Forward

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

Jack HughesC,LW · New Jersey Devilscovers 3
fills: SOG, PPP, A
Jack EichelC · Vegas Golden Knightscovers 3
fills: SOG, A, PPP
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 · Scott Arniel (WPG)

Last year: Scott Arniel full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	13.69	13.78	14.07	-2%
5v5 TOI	11.15	11.20	11.57	-3%
PP TOI	1.34	1.47	1.25	+18%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 21 · 17 · 3

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 → 13.69: holds last year's role
5v5 TOI → 11.15: holds last year's role
PP TOI → 1.34: role tapered late (Q4 1.2 vs 1.5 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	4.82	4.91	5.52	-11%
G/60	0.37	0.36	0.44	-19%
iSH%	7.75	7.33	8.05	-9%
ixG/60	–	0.60	0.76	-21%
iCF/60	–	10.09	9.88	+2%
iSCF/60	–	6.43	6.85	-6%
iHDCF/60	–	3.48	3.87	-10%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 21 · 17 · 3

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% 7.3% sits near the 8.1% 3-yr mark with 5v5 ixG/60 0.60 (47th pct league-wide) — goals held close to last year.

RiskShot volume down 11% (5v5 SOG/60 4.91 vs 5.52) — volume is the repeatable half, so this caps the goal ceiling.

TailwindTrajectory: 5v5 ixG/60 climbed 0.56→0.77 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	2025-26	Prev 3	Diff
on-ice SH%	6.93	5.76	8.83	-35%
IPP	60.76	62.24	58.95	+6%
1A/60	0.39	0.36	0.47	-23%
2A/60	0.45	0.18	0.62	-71%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 21 · 17 · 3

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% 5.8%, IPP 62.2%).

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	1.34	1.47	1.25	+18%
PP iSH%	16.45	13.32	18.72	-29%
PP SOG/60	6.83	10.21	6.61	+55%
PP ixG/60	–	1.73	1.33	+30%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 21 · 17 · 3

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)

RiskPP role projected down: 1.5→1.3 PP TOI/gp (role tapered late (Q4 1.2 vs 1.5 full-year) — projected toward the softer finish) — the biggest PPP lever.

TailwindPP finishing ran cold (13.3% vs 18.7%) 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	2.03	2.14	2.22	-4%
Hits/60	5.92	6.34	6.08	+4%
Blks/60	2.66	2.77	2.50	+11%

By quarter — 2025-26 vs 3-yr baseline

GP 19 · 21 · 17 · 3

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 6.34/60 (70th pct league-wide) → 5.92 projected.

ContextBlocks role-stable at 2.77/60 (57th pct league-wide) → 2.66 projected.