Per 82 GP	2026-27projection	2025-2675 GP	H236 GP	H139 GP	Prev 3230 GP · 3y
TOI	18.87	19.05	17.54	17.98	18.02
PP TOI	3.14	3.30	2.73	3.82	3.31
G	27	24	27	21	30
A	30	28	39	19	34
PTS	57	52	66	40	63
PPP	21	21	30	13	22
SOG	180	181	180	183	188
PIM	15	9	9	9	19
Hits	61	59	73	46	65
Blocks	29	28	20	36	32

Sample: 75 GP · 1,017 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingLeft wing · league-wide (of 281)

63Valeri Nichushkin38

64Alex Steeves38

65Tyson Foerster36

66Brock Boeser36

67Matvei Michkov34

68Dmitri Voronkov33

69Zach Benson33

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 surge

PPP

Power play points ran at a 30 pace in the second half after 13 in the first, per 82 games.

Second-half surge

PP SOG/60

PP SOG/60 finished the year 148% above where it started (6.39 in the first half, 15.88 in the second). The projection leans on how the season ended, so the second half counts for more.

Below his 3-year rate

iSH%

iSH% ran 25% below his 3-year rate last season (9.90 against 13.17).

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 Forward

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

Tyler ToffoliLW,RW · San Jose Sharks88% match
shared: G
Jared McCannC,LW · Seattle Kraken87% match
shared: PPP, G
Josh DoanLW,RW · Buffalo Sabres86% match
Jake DeBruskLW,RW · Vancouver Canucks84% match
shared: PPP, G

Complementary Forward

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

Scott SabourinRW · Tampa Bay Lightningcovers 2
fills: PIM, Hits
Ross JohnstonLW · St. Louis Bluescovers 2
fills: PIM, Hits
Michael PezzettaLW,RW · Toronto Maple Leafscovers 2
fills: Hits, PIM
Curtis DouglasC,RW · Seattle Krakencovers 2
fills: PIM, Hits

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 · Manny Malhotra (VAN) new voice

Last year: Adam Foote full season — no change

Metric	26-27 proj	2025-26	Prev 3	Diff
TOI	18.87	19.05	18.02	+6%
5v5 TOI	13.72	13.56	13.72	-1%
PP TOI	3.14	3.30	3.31	-0%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 17 · 19

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 → 18.87: holds last year's role
5v5 TOI → 13.72: holds last year's role
PP TOI → 3.14: role tapered late (Q4 2.8 vs 3.3 full-year) — projected toward the softer finish

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	5.86	5.96	6.20	-4%
G/60	0.65	0.59	0.82	-28%
iSH%	11.14	9.90	13.17	-25%
ixG/60	–	0.64	0.62	+3%
iCF/60	–	11.97	12.34	-3%
iSCF/60	–	6.43	7.09	-9%
iHDCF/60	–	2.36	2.72	-13%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 17 · 19

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)

TailwindGoals projected UP: iSH% cratered to 9.9% vs 13.2% 3-yr while 5v5 ixG/60 0.64 (54th pct league-wide) held/rose — the chances say the finishing rebounds toward 11.1%, lifting the goal rate ~11%.

ContextTrajectory: 5v5 ixG/60 fell from 0.72 (1st half) to 0.56 (2nd).

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%	8.66	7.49	10.57	-29%
IPP	68.93	72.51	64.55	+12%
1A/60	0.55	0.59	0.61	-3%
2A/60	0.25	0.06	0.42	-86%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 17 · 19

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% 7.5%, IPP 72.5%).

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric	26-27 proj	2025-26	Prev 3	Diff
PP TOI	3.14	3.30	3.31	-0%
PP iSH%	17.91	14.33	18.92	-24%
PP SOG/60	11.51	10.19	12.92	-21%
PP ixG/60	–	1.90	2.67	-29%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 17 · 19

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 ~3.1 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	0.59	0.47	0.76	-38%
Hits/60	3.11	3.01	3.19	-6%
Blks/60	1.15	1.30	1.54	-16%

By quarter — 2025-26 vs 3-yr baseline

GP 20 · 19 · 17 · 19

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)

TailwindHits surging late: Q4 2.48/60 and 2nd-half 3.80 vs a 3.01 season rate (3.19 3-yr) (39th pct league-wide) — reads as a real role/confidence step, so projected UP to 3.11/60, weighting the finish over the 3-yr baseline.

RiskBlocks tailing off: Q4 0.68/60 and 2nd-half 0.85 below the 1.30 season rate — projected DOWN to 1.15/60, weighting the recent decline over the 1.54 3-yr mark.