Per 82 GP	2026-27projection adj	2025-26thin	H217 GP	H12 GP	Prev 324 GP · 1y
TOI	18.31	–	13.12	–	18.31
PP TOI	0.04	–	–	–	0.04
G	▼2	–	–	–	7
A	▼8	–	–	–	14
PTS	▼10	–	–	–	21
PPP	0	–	–	–	0
SOG	▼60	–	–	–	65
PIM	27	–	–	–	21
Hits	▼95	–	–	–	137
Blocks	▼90	–	–	–	72

Sample: 19 GP · 250 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

267Emil Andrae-48

268Trevor van Riemsdyk-48

269Henry Brzustewicz-48

270Ethan Del Mastro-49

271Axel Sandin-Pellikka-49

272Hunter Brzustewicz-49

273Jake Bean-50

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.

Context-adjusted (▲/▼ vs the rate-model baseline): Correcting a model error, not disagreeing with a projection. The engine had him at 9-14-23 on 18.3 TOI. His actual 2025-26: EV P60 of 0.24, ixG60 of 0.12, ZERO goals, and 13.35 TOI - roughly a 4-point pace. The 9 goals came from carrying 2024-25's small sample (2 goals in 24 GP at 18.0 TOI) across a full season. He has no NHL goals in 45 career games and an ixG rate to match. Set to a defensive third-pair line: real hits and blocks, almost no offence. Ranked outside the top 500 either way, but the card was wrong.

Similar & complementary players

Similar makeup Defense

Closest across all seven categories — match % is the whole-profile fit

Tyler TuckerD · St. Louis Blues86% match
shared: PIM, Hits
Maveric LamoureuxD · Utah Mammoth84% match
shared: PIM, Hits
Donovan SebrangoD · Florida Panthers84% match
shared: PIM, Hits
Lian BichselD · Dallas Stars83% match
shared: PIM, Hits

Complementary Defense

Same position, opposite profile — strong where Ethan Del Mastro 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 · Jeff Blashill (CHI)

Last year: Jeff Blashill full season (1st yr) — no change

Metric	26-27 proj	2025-26	Prev 3
TOI	18.31	n/a	18.31
5v5 TOI	17.74	n/a	17.74
PP TOI	0.04	n/a	0.04

By quarter — 2025-26 vs 3-yr baseline

GP 1 · 1 · 2 · 15

TOI*

5v5 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 → 18.31: No qualifying 2025-26 — projected off the prior role
5v5 TOI → 17.74: No qualifying 2025-26 — projected off the prior role
PP TOI → 0.04: No qualifying 2025-26 — projected off the prior role

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	3.79	n/a	2.54
G/60	0.38	n/a	0.28
iSH%	11.02	n/a	11.02
ixG/60	–	n/a	0.11
iCF/60	–	n/a	6.76
iSCF/60	–	n/a	1.97
iHDCF/60	–	n/a	0.14

By quarter — 2025-26 vs 3-yr baseline

GP 1 · 1 · 2 · 15

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)

ContextNo 2025-26 sample — goals/shots projected off the prior 3-yr profile, held flat.

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%	8.22	n/a	8.22
IPP	30.60	n/a	30.60
1A/60	0.14	n/a	0.14
2A/60	0.14	n/a	0.14

By quarter — 2025-26 vs 3-yr baseline

GP 1 · 1 · 2 · 15

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% 8.2%, IPP 30.6%).

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	0.04	n/a	0.04
PP iSH%	–	n/a	n/a
PP SOG/60	0.00	n/a	0.00
PP ixG/60	–	n/a	0.00

By quarter — 2025-26 vs 3-yr baseline

GP 1 · 1 · 2 · 15

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)

ContextLittle/no PP role — PP points capped regardless of finishing.

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	1.15	n/a	0.85
Hits/60	4.48	n/a	5.64
Blks/60	3.81	n/a	2.82

By quarter — 2025-26 vs 3-yr baseline

GP 1 · 1 · 2 · 15

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 2.74/60 and 2nd-half 2.74 below the 5.64 season rate — projected DOWN to 4.48/60, weighting the recent decline over the 5.64 3-yr mark.

TailwindBlocks surging late: Q4 4.88/60 and 2nd-half 4.88 vs a 2.82 season rate (2.82 3-yr) (58th pct league-wide) — reads as a real role/confidence step, so projected UP to 3.81/60, weighting the finish over the 3-yr baseline.