Per 82 GP	2026-27projection	2025-2682 GP	H239 GP	H143 GP	Prev 3231 GP · 3y
TOI	21.56	21.08	19.15	21.20	23.49
PP TOI	1.40	1.60	0.87	2.26	2.20
G	6	4	6	2	8
A	28	26	24	28	37
PTS	34	30	30	29	45
PPP	7	9	2	15	14
SOG	90	91	72	108	116
PIM	10	14	4	23	18
Hits	10	9	6	11	24
Blocks	86	72	64	79	106

Sample: 82 GP · 1,430 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

218Nate Schmidt-33

219Zach Bogosian-33

220Ty Emberson-33

221Cam Fowler-33

222Samuel Girard-33

223Henry Thrun-34

224Dmitri Simashev-34

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

PPP

Power play points ran at a 2 pace in the second half after 15 in the first, per 82 games.

Second-half fade

PP TOI

PP TOI finished the year 62% below where it started (2.27 in the first half, 0.86 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 32% below his 3-year rate last season (4.30 against 6.34).

We project it up

BLK

all5v5

We’re projecting blocks 19% above last season, 72 to 86.

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

Owen PowerD · Buffalo Sabres88% match
Morgan RiellyD · Toronto Maple Leafs77% match
shared: A, PPP
Luke HughesD · New Jersey Devils76% match
shared: A, PPP
Noah HanifinD · Vegas Golden Knights76% match

Complementary Defense

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

Arber XhekajD · Montreal Canadienscovers 2
fills: PIM, Hits
Lian BichselD · Dallas Starscovers 2
fills: Hits, PIM
Donovan SebrangoD · Florida Pantherscovers 2
fills: PIM, Hits
Nikita ZadorovD · Boston Bruinscovers 2
fills: PIM, Hits

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 · Jim Montgomery (STL)

Last year: Jim Montgomery full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	21.56	21.08	23.49	-10%
5v5 TOI	17.41	17.44	17.81	-2%
PP TOI	1.40	1.60	2.20	-27%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 20 · 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 → 21.56: holds last year's role
5v5 TOI → 17.41: established top role held near 17.4 — the late dip (Q4 16.8) reads mostly as rest / season wear, not lost usage
PP TOI → 1.40: role tapered late (Q4 0.5 vs 1.6 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	2.88	3.02	3.25	-7%
G/60	0.17	0.13	0.21	-37%
iSH%	5.73	4.30	6.34	-32%
ixG/60	–	0.13	0.15	-16%
iCF/60	–	8.14	7.64	+7%
iSCF/60	–	2.35	2.38	-1%
iHDCF/60	–	0.25	0.39	-37%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 20 · 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% 4.3% sits near the 6.3% 3-yr mark with 5v5 ixG/60 0.13 (8th pct league-wide) — goals held close to last year.

ContextTrajectory: 5v5 ixG/60 fell from 0.15 (1st half) to 0.10 (2nd).

RiskAge 34 — 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%	8.56	8.78	8.28	+6%
IPP	36.92	33.48	42.53	-21%
1A/60	0.38	0.29	0.39	-26%
2A/60	0.35	0.34	0.36	-7%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 20 · 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)

TailwindIPP 33.5% sits below the 42.5% 3-yr mark — participation should rebound, nudging assists up.

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	1.40	1.60	2.20	-27%
PP iSH%	9.92	8.38	10.40	-19%
PP SOG/60	5.33	5.49	9.10	-40%
PP ixG/60	–	0.31	0.56	-45%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 20 · 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)

RiskPP role projected down: 1.6→1.4 PP TOI/gp (role tapered late (Q4 0.5 vs 1.6 full-year) — projected toward the softer finish) — 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	0.41	0.59	0.61	-4%
Hits/60	0.42	0.38	0.86	-56%
Blks/60	2.62	2.27	3.14	-28%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 22 · 20 · 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)

RiskHits tailing off: Q4 0.19/60 and 2nd-half 0.27 below the 0.38 season rate — projected DOWN to 0.42/60, weighting the recent decline over the 0.86 3-yr mark.

ContextBlocks role-stable at 2.27/60 (41st pct league-wide) → 2.62 projected.