Per 82 GP	2026-27projection	2025-2678 GP	H239 GP	H139 GP	Prev 366 GP · 2y
TOI	15.93	15.97	14.96	16.43	15.64
PP TOI	0.04	0.04	0.02	0.07	0.15
G	1	3	-0	6	1
A	17	14	12	16	22
PTS	18	17	12	22	24
PPP	0	0	0	0	1
SOG	66	62	53	70	82
PIM	16	27	21	34	12
Hits	99	107	83	131	127
Blocks	85	100	79	121	88

Sample: 78 GP · 1,185 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

261Justin Barron-46

262Joel Hanley-46

263Adam Wilsby-46

264Kaedan Korczak-46

265Sawyer Mynio-47

266Cody Ceci-47

267Emil Andrae-48

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

PTS

all5v5

Points ran at a 12 pace in the second half after 22 in the first, per 82 games.

Second-half fade

HITS

all5v5

Hits ran at a 83 pace in the second half after 131 in the first, per 82 games.

We project it down

PIM

all5v5

We’re projecting penalty minutes 41% below last season, 27 to 16.

Below his 3-year rate

1A/60

1A/60 ran 38% below his 3-year rate last season (0.30 against 0.49).

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

Rasmus RistolainenD · Philadelphia Flyers81% match
shared: Hits
Braden SchneiderD · New York Rangers80% match
shared: Hits
Mattias SamuelssonD · Buffalo Sabres75% match
shared: Hits
Martin FehervaryD · Washington Capitals74% match
shared: Hits

Complementary Defense

Same position, opposite profile — strong where Kaedan Korczak 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
Evan BouchardD · Edmonton Oilerscovers 3
fills: A, PPP, SOG
Erik KarlssonD · Pittsburgh Penguinscovers 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 · Dan Muse (PIT)

Last year (VGK, traded): Bruce Cassidy Q1-Q4 · fired Mar 29 → John Tortorella final 8 games · Q4 — in-season change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	15.93	15.97	15.64	+2%
5v5 TOI	14.35	15.20	14.99	+1%
PP TOI	0.04	0.04	0.15	-72%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 25 · 14

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 → 15.93: holds last year's role
5v5 TOI → 14.35: role tapered late (Q4 12.7 vs 15.2 full-year) — projected toward the softer finish
PP TOI → 0.04: role tapered late (Q4 0.0 vs 0.0 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	2.89	2.94	3.70	-21%
G/60	0.11	0.15	0.06	+147%
iSH%	3.37	5.10	1.64	+211%
ixG/60	–	0.15	0.12	+25%
iCF/60	–	7.49	9.65	-22%
iSCF/60	–	2.43	2.67	-9%
iHDCF/60	–	0.56	0.00

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 25 · 14

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)

TailwindProcess rising: 5v5 ixG/60 0.15 (13th pct league-wide) up on the 3-yr 0.12 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.

RiskShot volume down 21% (5v5 SOG/60 2.94 vs 3.70) — volume is the repeatable half, so this caps the goal ceiling.

ContextTrajectory: 5v5 ixG/60 fell from 0.17 (1st half) to 0.10 (2nd).

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%	10.72	10.56	10.91	-3%
IPP	31.70	29.46	35.36	-17%
1A/60	0.38	0.30	0.49	-38%
2A/60	0.45	0.30	0.55	-45%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 25 · 14

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 29.5% sits below the 35.4% 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	0.04	0.04	0.15	-72%
PP iSH%	–	n/a	0.00
PP SOG/60	2.40	0.00	11.98	-100%
PP ixG/60	–	0.00	0.46	-100%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 25 · 14

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 ~0.0 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	1.15	1.32	0.61	+118%
Hits/60	4.94	5.01	6.13	-18%
Blks/60	4.10	4.50	4.07	+11%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 25 · 14

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 3.70/60 and 2nd-half 3.95 below the 5.01 season rate — projected DOWN to 4.94/60, weighting the recent decline over the 6.13 3-yr mark.

RiskBlocks tailing off: Q4 3.37/60 and 2nd-half 3.62 below the 4.50 season rate — projected DOWN to 4.10/60, weighting the recent decline over the 4.07 3-yr mark.