Per 82 GP	2026-27projection	2025-2620 GP	H212 GP	H18 GP	Prev 3thin
TOI	16.33	16.33	14.38	16.63	–
PP TOI	0.01	0.00	0.01	–	–
G	0	0	0	0	–
A	28	29	46	21	–
PTS	28	29	46	21	–
PPP	0	0	0	–	–
SOG	65	70	49	105	–
PIM	24	25	18	41	–
Hits	183	197	123	271	–
Blocks	98	98	99	121	–

Sample: 20 GP · 297 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

152Alexandre Carrier-10

153Drew Helleson-11

154Cale Fleury-11

155Jack St. Ivany-12

156Matthew Robertson-12

157Will Borgen-12

158Brent Burns-12

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 surge

all5v5

Assists ran at a 46 pace in the second half after 21 in the first, per 82 games.

Second-half surge

PTS

all5v5

Points ran at a 46 pace in the second half after 21 in the first, per 82 games.

Bottom of the league

PP TOI

PP TOI sits in the 2th percentile league-wide (0.00).

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

Brenden DillonD · New Jersey Devils81% match
shared: Hits
Connor CliftonD · Boston Bruins80% match
shared: Hits
Lian BichselD · Dallas Stars80% match
shared: Hits
Braden SchneiderD · New York Rangers79% match
shared: Hits

Complementary Defense

Same position, opposite profile — strong where Jack St. Ivany 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
Cale MakarD · Colorado Avalanchecovers 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 · Scott Arniel (WPG)

Last year (PIT, traded): Dan Muse full season (1st yr) — no change

Metric	26-27 proj	2025-26	Prev 3
TOI	16.33	16.33	n/a
5v5 TOI	14.56	14.88	n/a
PP TOI	0.01	0.00	n/a

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 8 · 9 · 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 → 16.33: holds the rookie-season role
5v5 TOI → 14.56: role tapered late (Q4 13.1 vs 14.9 full-year) — projected toward the softer finish
PP TOI → 0.01: same coach (Scott Arniel) — 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
SOG/60	2.69	2.82	n/a
G/60	0.00	0.00	n/a
iSH%	0.00	0.00	n/a
ixG/60	–	0.14	n/a
iCF/60	–	8.07	n/a
iSCF/60	–	1.41	n/a
iHDCF/60	–	0.20	n/a

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 8 · 9 · 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)

ContextTrajectory: 5v5 ixG/60 fell from 0.19 (1st half) to 0.08 (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
on-ice SH%	11.46	11.46	n/a
IPP	50.00	50.00	n/a
1A/60	0.60	0.60	n/a
2A/60	0.81	0.81	n/a

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 8 · 9 · 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% 11.5%, IPP 50.0%).

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
PP TOI	0.01	0.00	n/a
PP iSH%	–	n/a	n/a
PP SOG/60	0.00	0.00	n/a
PP ixG/60	–	0.00	n/a

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 8 · 9 · 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)

TailwindPP role projected up: 0.0→0.0 PP TOI/gp (same coach (Scott Arniel) — 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
PIMs/60	1.19	1.21	n/a
Hits/60	8.98	9.48	n/a
Blks/60	4.52	4.44	n/a

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 8 · 9 · 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)

RiskHits tailing off: Q4 6.64/60 and 2nd-half 6.64 below the 9.48 season rate — projected DOWN to 8.98/60, weighting the recent decline over the n/a 3-yr mark.

TailwindBlocks surging late: Q4 5.10/60 and 2nd-half 5.10 vs a 4.44 season rate (n/a 3-yr) (87th pct league-wide) — reads as a real role/confidence step, so projected UP to 4.52/60, weighting the finish over the 3-yr baseline.