Per 82 GP	2026-27projection	2025-2678 GP	H236 GP	H142 GP	Prev 3190 GP · 3y
TOI	24.27	24.30	23.04	23.25	24.12
PP TOI	3.16	3.19	3.01	3.35	2.72
G	13	11	9	12	12
A	49	51	59	44	47
PTS	62	62	69	56	59
PPP	29	27	32	23	25
SOG	159	167	160	173	147
PIM	42	46	45	47	44
Hits	54	40	40	40	97
Blocks	144	131	125	137	153

Sample: 78 GP · 1,332 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

10Brandt Clarke94

11Darren Raddysh94

12Jake Sanderson93

13Mikhail Sergachev92

14MacKenzie Weegar86

15Jakob Chychrun85

16Adam Fox83

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

Below his 3-year rate

Hits/60

Hits/60 ran 58% below his 3-year rate last season (1.44 against 3.41).

Second-half surge

PPP

Power play points ran at a 32 pace in the second half after 23 in the first, per 82 games.

Second-half surge

all5v5

Assists ran at a 59 pace in the second half after 44 in the first, per 82 games.

Above his 3-year rate

PP SOG/60

PP SOG/60 ran 50% above his 3-year rate last season (9.40 against 6.26).

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

Victor HedmanD · Tampa Bay Lightning90% match
shared: PPP, A, G, SOG
Josh MorrisseyD · Winnipeg Jets85% match
shared: A, PPP, G, SOG
Adam FoxD · New York Rangers85% match
shared: PPP, A, G
Seth JonesD · Florida Panthers84% match
shared: PPP, A, G, SOG

Complementary Defense

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

Lian BichselD · Dallas Starscovers 2
fills: Hits, PIM
Arber XhekajD · Montreal Canadienscovers 2
fills: PIM, Hits
Sean WalkerD · Carolina Hurricanescovers 2
fills: PIM, Hits
Jeremy LauzonD · Vegas Golden Knightscovers 2
fills: Hits, PIM

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 · André Tourigny (UTA)

Last year: André Tourigny full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	24.27	24.30	24.12	+1%
5v5 TOI	17.24	17.09	17.63	-3%
PP TOI	3.16	3.19	2.72	+17%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 19 · 17

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 → 24.27: holds last year's role
5v5 TOI → 17.24: holds last year's role
PP TOI → 3.16: established top role held near 3.2 — the late dip (Q4 3.1) reads mostly as rest / season wear, not lost 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	4.41	4.41	4.64	-5%
G/60	0.27	0.23	0.31	-25%
iSH%	6.17	5.22	6.58	-21%
ixG/60	–	0.19	0.22	-13%
iCF/60	–	11.84	11.82	+0%
iSCF/60	–	3.06	3.13	-2%
iHDCF/60	–	0.41	0.30	+35%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 19 · 17

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% 5.2% sits near the 6.6% 3-yr mark with 5v5 ixG/60 0.19 (20th pct league-wide) — goals held close to last year.

TailwindTrajectory: 5v5 ixG/60 climbed 0.16→0.23 across the year — process trending the right way into next season.

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%	9.20	9.33	8.89	+5%
IPP	43.42	43.33	43.62	-1%
1A/60	0.36	0.32	0.48	-34%
2A/60	0.44	0.63	0.39	+60%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 19 · 17

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)

TailwindProject Simashev into UTA's top-four for 2026-27 as a two-way/BLK contributor with modest early offense.

ContextAssist environment looks normal (on-ice SH% 9.3%, IPP 43.3%).

TailwindHigh-danger setups up (iHDCF/60 0.41 vs 0.30) — the dangerous chances that turn into primary assists are trending up.

RiskAssist gain leans on secondary helpers (2A/60 0.63 vs 3-yr 0.39) — the least repeatable slice; projected back toward baseline.

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	3.16	3.19	2.72	+17%
PP iSH%	11.14	12.77	11.14	+15%
PP SOG/60	8.79	9.40	6.26	+50%
PP ixG/60	–	0.61	0.49	+23%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 19 · 17

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)

ContextPP role steady at ~3.2 PP TOI/gp.

TailwindPP chance quality up (PP ixG/60 0.61 vs 0.49) — 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	1.68	1.71	1.63	+5%
Hits/60	1.94	1.44	3.41	-58%
Blks/60	3.88	3.69	4.17	-12%

By quarter — 2025-26 vs 3-yr baseline

GP 21 · 21 · 19 · 17

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)

TailwindProject Simashev into UTA's top-four for 2026-27 as a two-way/BLK contributor with modest early offense.

ContextHits role-stable at 1.44/60 (15th pct league-wide) → 1.94 projected.

ContextBlocks role-stable at 3.69/60 (74th pct league-wide) → 3.88 projected.