Per 82 GP	2026-27projection	2025-26thin	H225-26	H14 GP	Prev 3111 GP · 2y
TOI	18.66	–	–	–	18.66
PP TOI	0.51	–	–	–	0.51
G	4	–	–	–	4
A	14	–	–	–	13
PTS	18	–	–	–	17
PPP	3	–	–	–	3
SOG	74	–	–	–	74
PIM	36	–	–	–	34
Hits	51	–	–	–	51
Blocks	100	–	–	–	101

Sample: 4 GP · 57 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

220Ty Emberson-33

221Cam Fowler-33

222Samuel Girard-33

223Henry Thrun-34

224Dmitri Simashev-34

225Brett Kulak-34

226Sam Dickinson-35

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.

Similar & complementary players

Similar makeup Defense

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

Rasmus RistolainenD · Philadelphia Flyers78% match
Vladislav GavrikovD · New York Rangers77% match
Timothy LiljegrenD · Washington Capitals76% match
Owen PowerD · Buffalo Sabres74% match

Complementary Defense

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

Zach WerenskiD · Columbus Blue Jacketscovers 3
fills: SOG, A, PPP
Cale MakarD · Colorado Avalanchecovers 3
fills: A, PPP, SOG
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 · Scott Arniel (WPG)

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

Metric	26-27 proj	2025-26	Prev 3
TOI	18.66	n/a	18.66
5v5 TOI	16.19	n/a	16.19
PP TOI	0.51	n/a	0.51

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 4 · 0 · 0

By season — year over year

TOI

5v5 TOI

PP TOI

TOI → 18.66: No qualifying 2025-26 — projected off the prior role
5v5 TOI → 16.19: No qualifying 2025-26 — projected off the prior role
PP TOI → 0.51: 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	2.97	n/a	2.97
G/60	0.10	n/a	0.10
iSH%	3.42	n/a	3.42
ixG/60	–	n/a	0.10
iCF/60	–	n/a	6.81
iSCF/60	–	n/a	1.60
iHDCF/60	–	n/a	0.13

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 4 · 0 · 0

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%	7.97	n/a	7.97
IPP	33.86	n/a	33.86
1A/60	0.13	n/a	0.13
2A/60	0.43	n/a	0.40

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 4 · 0 · 0

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% 8.0%, IPP 33.9%).

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	0.51	n/a	0.51
PP iSH%	33.38	n/a	33.38
PP SOG/60	6.31	n/a	6.31
PP ixG/60	–	n/a	1.04

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 4 · 0 · 0

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	1.37	n/a	1.37
Hits/60	2.14	n/a	2.14
Blks/60	3.60	n/a	3.60

By quarter — 2025-26 vs 3-yr baseline

GP 0 · 4 · 0 · 0

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 2.14/60 (26th pct league-wide) → 2.14 projected.

ContextBlocks role-stable at 3.60/60 (72nd pct league-wide) → 3.60 projected.