🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Nick Lardis

CHI · Age 21
CHIteam
RWposition
145position rank
416skater rank
-8overall
-18offense
10peripherals

Value over replacement, based on 82 games played.
Ideal for H2H 12-team banger category leagues, 16 roster spots.

Per 82 GP2026-27projection adj2025-2641 GPH231 GPH110 GPPrev 3thin
TOI13.3812.6712.2711.97
PP TOI1.481.431.341.69
G21202116
A1310132
PTS34303418
PPP8658
SOG137114111123
PIM21201633
Hits115114103148
Blocks20242812

Sample: 41 GP · 441 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingRight wing · league-wide (of 273)
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.

Context-adjusted (▲/▼ vs the rate-model baseline): Rookie baseline: projected role (sniper, moves up to Bedard/Frondell; one day could become someone like Dorofeyev) blended with 2025-26 NHL (41 GP) at w=0.50. HITS corrected 2026-07-27 from 77 to 115: his hit rate is 7.3/60 and sustained across the season (9.2 / 7.4 / 6.3 by quarter), which over 13.4 TOI x 82 implies ~134. The 77 came from the rookie-baseline blend, so the engine's HITS-persist behaviour never applied to it - this was a rookie-baseline artifact, not a projection. Left slightly under his own rate as a rookie-minutes hedge. Points are unchanged and agree across every source; the hits ARE his draft value in a banger league. Per-82 line; GP/availability is separate. Tune here.

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
iSH%
22.73Q1Q2Q3Q4

iSH% finished the year 137% above where it started (9.02 in the first half, 21.38 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half fade
PP ixG/60
0.75Q1Q2Q3Q4

PP ixG/60 finished the year 51% below where it started (1.90 in the first half, 0.94 in the second). The projection leans on how the season ended, so the second half counts for more.

We project it up
PPP
822-2323-2424-25H1H226-27

We’re projecting power play points 33% above last season, 6 to 8.

We project it up
A
1322-2323-2424-25H1H226-27
all5v5

We’re projecting assists 30% above last season, 10 to 13.

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
Complementary Forward
Same position, opposite profile — strong where Nick Lardis is weak or average, light where he’s strong
Profile shape — per-82 category values vs the league p99 for the position (same scale as the hero bars)
This player
GAPPPSOGPIMHitsBlocks
the profile below
vs Similar
GAPPPSOGPIMHitsBlocks
similar players hug the shape
vs Complementary
GAPPPSOGPIMHitsBlocks
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
Metric26-27
proj
2025-26Prev 3Diff
TOI13.3812.67n/a
5v5 TOI11.4310.76n/a
PP TOI1.481.43n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 10 · 12 · 19
TOI*
12.56Q1Q2Q3Q4
5v5 TOI
11.28Q1Q2Q3Q4
PP TOI
1.27Q1Q2Q3Q4
*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
13.3822-2323-2424-2525-2626-27
5v5 TOI
11.4322-2323-2424-2525-2626-27
PP TOI
1.4822-2323-2424-2525-2626-27

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
2025-26Prev 3Diff
SOG/606.035.85n/a
G/601.121.09n/a
iSH%18.6318.63n/a
ixG/600.76n/a
iCF/6012.65n/a
iSCF/607.89n/a
iHDCF/602.99n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 10 · 12 · 19
SOG/60
6.16Q1Q2Q3Q4
iSH%
22.73Q1Q2Q3Q4
ixG/60
0.85Q1Q2Q3Q4
iCF/60
12.60Q1Q2Q3Q4
iSCF/60
8.12Q1Q2Q3Q4
iHDCF/60
3.92Q1Q2Q3Q4
By season — year over year
SOG/60
5.8522-2323-2424-2525-26
iSH%
18.6322-2323-2424-2525-26
ixG/60
0.7622-2323-2424-2525-26
iCF/60
12.6522-2323-2424-2525-26
iSCF/60
7.8922-2323-2424-2525-26
iHDCF/60
2.9922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
2122-2323-2424-25H1H226-27
all5v5
SOG
13722-2323-2424-25H1H226-27
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)
TailwindProject Lardis for a full 2026-27 CHI role with goal/SOG upside that rises if he lands top-six/top-line minutes with Bedard or Frondell.
TailwindAge 21 — still on the up-slope of the scoring curve.
TailwindAge 21 on a single NHL season — projected a development step, not a flat repeat: scoring rates +8% and role +6% toward the mid-20s peak (a young riser improves on last year, not repeats it).

Assists — playmaking & on-ice offense

Primary vs secondary helpers, plus the on-ice offense and luck signals underneath them.

Metric (5v5)26-27
proj
2025-26Prev 3Diff
on-ice SH%8.038.03n/a
IPP78.9578.95n/a
1A/600.270.27n/a
2A/600.140.14n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 10 · 12 · 19
1A/60
0.28Q1Q2Q3Q4
2A/60
0.28Q1Q2Q3Q4
By season — year over year
1A/60
0.2722-2323-2424-2525-26
2A/60
0.1422-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
1322-2323-2424-25H1H226-27
all5v5
PTS
3422-2323-2424-25H1H226-27
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)
ContextAssist environment looks normal (on-ice SH% 8.0%, IPP 78.9%).

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI1.481.43n/a
PP iSH%20.0220.02n/a
PP SOG/6010.2410.24n/a
PP ixG/601.19n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 10 · 12 · 19
PP TOI/GP
1.27Q1Q2Q3Q4
PP SOG/60
7.45Q1Q2Q3Q4
PP ixG/60
0.75Q1Q2Q3Q4
By season — year over year
PP TOI/GP
1.4322-2323-2424-2525-26
PP SOG/60
10.2422-2323-2424-2525-26
PP ixG/60
1.1922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
822-2323-2424-25H1H226-27
PPG
322-2323-2424-25H1H226-27
PPA
522-2323-2424-25H1H226-27
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 ~1.5 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
2025-26Prev 3Diff
PIMs/601.291.36n/a
Hits/607.627.62n/a
Blks/601.381.36n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 10 · 12 · 19
PIMs/60
0.56Q1Q2Q3Q4
Hits/60
6.44Q1Q2Q3Q4
Blks/60
1.12Q1Q2Q3Q4
By season — year over year
PIMs/60
1.3622-2323-2424-2525-26
Hits/60
7.6222-2323-2424-2525-26
Blks/60
1.3622-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
2122-2323-2424-25H1H226-27
all5v5
HITS
11522-2323-2424-25H1H226-27
all5v5
BLK
2022-2323-2424-25H1H226-27
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)
ContextHits role-stable at 7.62/60 (78th pct league-wide) → 7.62 projected.
TailwindBlocks surging late: Q4 1.12/60 and 2nd-half 1.77 vs a 1.36 season rate (n/a 3-yr) (12th pct league-wide) — reads as a real role/confidence step, so projected UP to 1.38/60, weighting the finish over the 3-yr baseline.