Per 82 GP	2026-27projection	2025-2672 GP	H238 GP	H134 GP	Prev 3229 GP · 3y
TOI	19.63	20.14	19.59	19.34	16.10
PP TOI	0.06	0.06	0.06	0.05	0.05
G	7	2	4	-0	8
A	15	17	18	16	12
PTS	22	19	23	16	19
PPP	0	0	0	0	0
SOG	114	113	113	113	106
PIM	30	20	13	29	40
Hits	54	41	43	39	72
Blocks	79	72	69	75	67

Sample: 72 GP · 1,230 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)

213Keaton Middleton-30

214William Villeneuve-31

215Riley Stillman-31

216Jalen Chatfield-31

217Chris Tanev-31

218Nate Schmidt-33

219Zach Bogosian-33

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

iSH%

iSH% ran 65% below his 3-year rate last season (2.39 against 6.90).

Below his 3-year rate

Hits/60

Hits/60 ran 58% below his 3-year rate last season (1.41 against 3.35).

We project it up

PIM

all5v5

We’re projecting penalty minutes 50% above last season, 20 to 30.

Second-half surge

iSCF/60

iSCF/60 finished the year 57% above where it started (2.08 in the first half, 3.26 in the second). The projection leans on how the season ended, so the second half counts for more.

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 Rangers79% match
Gustav ForslingD · Florida Panthers78% match
Rasmus RistolainenD · Philadelphia Flyers76% match
Dmitry OrlovD · San Jose Sharks75% match

Complementary Defense

Same position, opposite profile — strong where Jalen Chatfield 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 · Rod Brind'Amour (CAR)

Last year: Rod Brind'Amour full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	19.63	20.14	16.10	+25%
5v5 TOI	16.71	17.08	14.71	+16%
PP TOI	0.06	0.06	0.05	+20%

By quarter — 2025-26 vs 3-yr baseline

GP 13 · 21 · 22 · 16

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 → 19.63: holds last year's role
5v5 TOI → 16.71: holds last year's role
PP TOI → 0.06: holds last year's 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	Diff
SOG/60	4.19	4.19	5.13	-18%
G/60	0.14	0.10	0.35	-72%
iSH%	5.54	2.39	6.90	-65%
ixG/60	–	0.19	0.23	-17%
iCF/60	–	11.95	12.72	-6%
iSCF/60	–	2.59	2.81	-8%
iHDCF/60	–	0.39	0.51	-24%

By quarter — 2025-26 vs 3-yr baseline

GP 13 · 21 · 22 · 16

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% 2.4% sits near the 6.9% 3-yr mark with 5v5 ixG/60 0.19 (20th pct league-wide) — goals held close to last year.

RiskShot volume down 18% (5v5 SOG/60 4.19 vs 5.13) — volume is the repeatable half, so this caps the goal ceiling.

TailwindTrajectory: 5v5 ixG/60 climbed 0.14→0.24 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%	9.42	9.60	8.97	+7%
IPP	28.31	27.08	32.12	-16%
1A/60	0.25	0.29	0.21	+36%
2A/60	0.35	0.39	0.34	+15%

By quarter — 2025-26 vs 3-yr baseline

GP 13 · 21 · 22 · 16

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)

TailwindIPP 27.1% sits below the 32.1% 3-yr mark — participation should rebound, nudging assists 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	0.06	0.06	0.05	+20%
PP iSH%	0.00	0.00	n/a
PP SOG/60	3.13	14.17	0.00
PP ixG/60	–	0.33	0.00

By quarter — 2025-26 vs 3-yr baseline

GP 13 · 21 · 22 · 16

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 ~0.1 PP TOI/gp.

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	0.72	0.68	1.64	-58%
Hits/60	1.90	1.41	3.35	-58%
Blks/60	2.47	2.15	2.96	-27%

By quarter — 2025-26 vs 3-yr baseline

GP 13 · 21 · 22 · 16

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)

RiskBottom-of-league hits (14th pct) — no meaningful floor here, don't draft for it.

ContextBlocks role-stable at 2.15/60 (37th pct league-wide) → 2.47 projected.