Per 82 GP	2026-27projection	2025-2677 GP	H236 GP	H141 GP	Prev 389 GP · 2y
TOI	19.57	19.61	19.56	18.53	17.83
PP TOI	0.09	0.07	0.08	0.06	0.06
G	5	6	5	8	4
A	12	12	12	11	10
PTS	17	18	17	19	14
PPP	0	0	0	0	0
SOG	85	80	72	86	77
PIM	33	36	29	42	33
Hits	58	48	44	51	69
Blocks	117	73	84	64	128

Sample: 77 GP · 1,312 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

205Daniil Miromanov-27

206Alex Vlasic-28

207Jackson Smith-29

208Wyatt Kaiser-29

209Ilya Solovyov-29

210David Reinbacher-30

211Ryker Evans-30

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

Above his 3-year rate

iSH%

iSH% ran 122% above his 3-year rate last season (8.54 against 3.85).

We project it up

BLK

all5v5

We’re projecting blocks 60% above last season, 73 to 117.

Second-half fade

all5v5

Goals ran at a 5 pace in the second half after 8 in the first, per 82 games.

Below his 3-year rate

Hits/60

Hits/60 ran 35% below his 3-year rate last season (1.92 against 2.95).

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

Vladislav GavrikovD · New York Rangers78% match
Rasmus RistolainenD · Philadelphia Flyers77% match
Timothy LiljegrenD · Washington Capitals76% match
Braden SchneiderD · New York Rangers72% match

Complementary Defense

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

Cale MakarD · Colorado Avalanchecovers 3
fills: A, PPP, SOG
Quinn HughesD · Minnesota Wildcovers 3
fills: A, PPP, SOG
Zach WerenskiD · Columbus Blue Jacketscovers 3
fills: SOG, A, PPP
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	Diff
TOI	19.57	19.61	17.83	+10%
5v5 TOI	17.72	17.04	15.76	+8%
PP TOI	0.09	0.07	0.06	+11%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 21 · 18 · 18

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 → 19.57: holds last year's role
5v5 TOI → 17.72: same coach (Jeff Blashill) — carries the elevated finish (2nd half 17.6, Q4 18.9) over the full-year 17.0
PP TOI → 0.09: same coach (Jeff Blashill) — carries the elevated finish (2nd half 0.1, Q4 0.1) over the full-year 0.1

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	3.08	3.16	3.42	-8%
G/60	0.19	0.27	0.13	+105%
iSH%	6.20	8.54	3.85	+122%
ixG/60	–	0.16	0.11	+42%
iCF/60	–	7.64	7.53	+1%
iSCF/60	–	2.19	2.22	-2%
iHDCF/60	–	0.41	0.13	+215%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 21 · 18 · 18

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)

TailwindProcess rising: 5v5 ixG/60 0.16 (16th pct league-wide) up on the 3-yr 0.11 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.

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%	9.65	9.96	8.24	+21%
IPP	31.13	32.59	24.47	+33%
1A/60	0.15	0.18	0.09	+110%
2A/60	0.22	0.27	0.30	-11%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 21 · 18 · 18

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)

RiskAssists projected DOWN: on-ice SH% 10.0% (3-yr 8.2%) AND IPP 32.6% (3-yr 24.5%) both ran hot — team finishing + participation luck stacked. Regressing both trims the assist rate ~4%.

TailwindHigh-danger setups up (iHDCF/60 0.41 vs 0.13) — 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	0.09	0.07	0.06	+11%
PP iSH%	–	n/a	n/a
PP SOG/60	0.00	0.00	0.00
PP ixG/60	–	0.00	0.00

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 21 · 18 · 18

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: 0.1→0.1 PP TOI/gp (same coach (Jeff Blashill) — carries the elevated finish (2nd half 0.1, Q4 0.1) over the full-year 0.1) — 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	1.20	1.28	1.45	-12%
Hits/60	2.23	1.92	2.95	-35%
Blks/60	3.19	2.38	4.84	-51%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 21 · 18 · 18

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 1.59/60 and 2nd-half 1.72 below the 1.92 season rate — projected DOWN to 2.23/60, weighting the recent decline over the 2.95 3-yr mark.

TailwindBlocks surging late: Q4 3.35/60 and 2nd-half 2.70 vs a 2.38 season rate (4.84 3-yr) (45th pct league-wide) — reads as a real role/confidence step, so projected UP to 3.19/60, weighting the finish over the 3-yr baseline.