Per 82 GP	2026-27projection	2025-2655 GP	H237 GP	H118 GP	Prev 3234 GP · 3y
TOI	19.34	19.37	18.45	19.65	19.20
PP TOI	0.03	0.03	0.02	0.03	0.06
G	2	0	0	0	3
A	11	10	9	12	12
PTS	13	10	9	12	15
PPP	0	0	0	0	0
SOG	89	98	91	114	88
PIM	44	55	69	27	41
Hits	116	97	114	62	125
Blocks	145	146	148	142	140

Sample: 55 GP · 877 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

129Dylan Samberg-3

130Jamie Drysdale-4

131Parker Wotherspoon-6

132Brandon Carlo-6

133J.J. Moser-6

134Logan Mailloux-6

135Jordan Spence-6

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

PIM

all5v5

Penalty minutes ran at a 69 pace in the second half after 27 in the first, per 82 games.

Second-half surge

Hits/60

Hits/60 finished the year 115% above where it started (1.99 in the first half, 4.28 in the second). The projection leans on how the season ended, so the second half counts for more.

Bottom of the league

ixG/60

ixG/60 sits in the 5th percentile league-wide (0.11).

Bottom of the league

1A/60

1A/60 sits in the 4th 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

Nick SeelerD · Philadelphia Flyers88% match
shared: Blocks, Hits
Timothy LiljegrenD · Washington Capitals87% match
shared: Blocks
Connor MurphyD · Edmonton Oilers86% match
shared: Blocks, Hits
Adam LarssonD · Seattle Kraken86% match
shared: Blocks, Hits

Complementary Defense

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

Cale MakarD · Colorado Avalanchecovers 3
fills: A, PPP, SOG
Zach WerenskiD · Columbus Blue Jacketscovers 3
fills: SOG, A, PPP
Quinn HughesD · Minnesota Wildcovers 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 · Jim Montgomery (STL)

Last year (TOR, traded): Craig Berube full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	19.34	19.37	19.20	+1%
5v5 TOI	15.85	15.95	15.71	+2%
PP TOI	0.03	0.03	0.06	-57%

By quarter — 2025-26 vs 3-yr baseline

GP 18 · 0 · 23 · 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 → 19.34: holds last year's role
5v5 TOI → 15.85: established top role held near 15.9 — the late dip (Q4 14.6) reads mostly as rest / season wear, not lost usage
PP TOI → 0.03: same coach (Jim Montgomery) — 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	3.63	3.63	3.66	-1%
G/60	0.00	0.00	0.10	-100%
iSH%	1.95	0.00	2.79	-100%
ixG/60	–	0.11	0.14	-20%
iCF/60	–	8.69	8.29	+5%
iSCF/60	–	1.71	2.10	-19%
iHDCF/60	–	0.00	0.33	-100%

By quarter — 2025-26 vs 3-yr baseline

GP 18 · 0 · 23 · 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)

ContextFinishing looks earned: iSH% 0.0% sits near the 2.8% 3-yr mark with 5v5 ixG/60 0.11 (5th pct league-wide) — goals held close to last year.

ContextTrajectory: 5v5 ixG/60 fell from 0.13 (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%	10.02	10.35	9.61	+8%
IPP	16.66	12.73	23.06	-45%
1A/60	0.07	0.00	0.25	-100%
2A/60	0.32	0.34	0.26	+29%

By quarter — 2025-26 vs 3-yr baseline

GP 18 · 0 · 23 · 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 12.7% sits below the 23.1% 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	0.03	0.03	0.06	-57%
PP iSH%	0.00	0.00	0.00
PP SOG/60	21.71	42.86	4.30	+896%
PP ixG/60	–	1.68	1.19	+41%

By quarter — 2025-26 vs 3-yr baseline

GP 18 · 0 · 23 · 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)

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

TailwindPP chance quality up (PP ixG/60 1.68 vs 1.19) — a real process gain, the kind that sustains PP points.

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	2.37	2.53	1.75	+45%
Hits/60	4.30	3.69	5.22	-29%
Blks/60	4.88	4.79	5.01	-4%

By quarter — 2025-26 vs 3-yr baseline

GP 18 · 0 · 23 · 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)

ContextHits role-stable at 3.69/60 (46th pct league-wide) → 4.30 projected.

TailwindElite blocks volume (90th pct) and role-stable — a bankable blocks floor (4.88/60 projected).

TailwindFights / takes majors (0.07/60) — a real PIM source, valuable in banger and PIM formats.