Per 82 GP	2026-27projection	2025-2639 GP	H218 GP	H121 GP	Prev 336 GP · 1y
TOI	14.95	14.54	15.01	13.84	16.23
PP TOI	0.01	0.00	0.02	–	0.04
G	3	0	0	0	5
A	6	4	-0	8	7
PTS	9	4	-0	8	12
PPP	0	0	0	–	0
SOG	96	88	99	83	105
PIM	34	46	46	47	34
Hits	147	116	93	135	173
Blocks	91	107	101	112	96

Sample: 39 GP · 521 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

191Kurtis MacDermid-23

192Ryan Ufko-24

193Dmitry Kulikov-24

194Philippe Myers-25

195Ryan McDonagh-25

196Elias Salomonsson-25

197Carson Soucy-25

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

Hits/60

Hits/60 finished the year 37% below where it started (7.19 in the first half, 4.50 in the second). The projection leans on how the season ended, so the second half counts for more.

Bottom of the league

PP TOI

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

Above his 3-year rate

Blks/60

Blks/60 ran 34% above his 3-year rate last season (5.07 against 3.77).

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
Lian BichselD · Dallas Stars80% match
shared: Hits
Connor CliftonD · Boston Bruins80% match
shared: Hits
Jeremy LauzonD · Vegas Golden Knights79% match
shared: Hits

Complementary Defense

Same position, opposite profile — strong where Philippe Myers 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 · Jim Hiller (TOR) new voice

Last year: Craig Berube full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	14.95	14.54	16.23	-10%
5v5 TOI	13.87	13.36	15.02	-11%
PP TOI	0.01	0.00	0.04	-87%

By quarter — 2025-26 vs 3-yr baseline

GP 10 · 11 · 9 · 9

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 → 14.95: holds last year's role
5v5 TOI → 13.87: new coach (Jim Hiller) — late-year 14.1 role discounted until the new staff sets usage
PP TOI → 0.01: new coach (Jim Hiller) — late-year 0.0 role discounted until the new staff sets usage

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	4.26	4.26	5.10	-16%
G/60	0.00	0.00	0.22	-100%
iSH%	3.02	0.00	4.31	-100%
ixG/60	–	0.16	0.17	-6%
iCF/60	–	10.59	13.42	-21%
iSCF/60	–	2.19	3.22	-32%
iHDCF/60	–	0.23	0.11	+109%

By quarter — 2025-26 vs 3-yr baseline

GP 10 · 11 · 9 · 9

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 4.3% 3-yr mark with 5v5 ixG/60 0.16 (16th pct league-wide) — goals held close to last year.

RiskShot volume down 16% (5v5 SOG/60 4.26 vs 5.10) — volume is the repeatable half, so this caps the goal ceiling.

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%	9.38	10.17	7.77	+31%
IPP	12.91	10.50	22.00	-52%
1A/60	0.07	0.12	0.00
2A/60	0.18	0.12	0.22	-45%

By quarter — 2025-26 vs 3-yr baseline

GP 10 · 11 · 9 · 9

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)

RiskOn-ice SH% hot at 10.2% vs a 7.8% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.

TailwindHigh-danger setups up (iHDCF/60 0.23 vs 0.11) — the dangerous chances that turn into primary assists are trending 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	0.01	0.00	0.04	-87%
PP iSH%	0.00	0.00	n/a
PP SOG/60	261.82	327.27	0.00
PP ixG/60	–	17.15	0.00

By quarter — 2025-26 vs 3-yr baseline

GP 10 · 11 · 9 · 9

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 (new coach (Jim Hiller) — late-year 0.0 role discounted until the new staff sets usage) — 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	2.17	2.53	1.66	+52%
Hits/60	6.70	5.99	8.32	-28%
Blks/60	4.48	5.07	3.77	+34%

By quarter — 2025-26 vs 3-yr baseline

GP 10 · 11 · 9 · 9

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 5.56/60 and 2nd-half 4.50 below the 5.99 season rate — projected DOWN to 6.70/60, weighting the recent decline over the 8.32 3-yr mark.

RiskBlocks tailing off: Q4 3.24/60 and 2nd-half 4.57 below the 5.07 season rate — projected DOWN to 4.48/60, weighting the recent decline over the 3.77 3-yr mark.

TailwindStrong PIM rate (2.53/60 (76th pct league-wide)) — a banger-league asset.