🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Collin Graf

SJS · Age 23.9 · 🇺🇸 USA · 6′1″, 194 lb · Undrafted
SJSteam
LW,RWposition
169position rank
507skater rank
-20overall
-27offense
6peripherals

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

Per 82 GP2026-27projection2025-2681 GPH241 GPH140 GPPrev 333 GP · 1y
TOI16.7616.4416.2515.5415.86
PP TOI0.350.490.250.741.26
G1921231912
A1825302015
PTS3747534027
PPP112010
SOG1251201509099
PIM171220420
Hits77891027650
Blocks4649455237

Sample: 81 GP · 1,046 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingLeft wing · league-wide (of 281)
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
ixG/60
3-yr 0.461.16Q1Q2Q3Q4

ixG/60 finished the year 73% above where it started (0.60 in the first half, 1.04 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half surge
SOG/60
3-yr 4.186.64Q1Q2Q3Q4

SOG/60 finished the year 75% above where it started (4.16 in the first half, 7.28 in the second). The projection leans on how the season ended, so the second half counts for more.

Below his 3-year rate
PP TOI
0.3522-2323-2424-2525-2626-27

PP TOI ran 61% below his 3-year rate last season (0.49 against 1.26).

Above his 3-year rate
Hits/60
4.7022-2323-2424-2525-26

Hits/60 ran 85% above his 3-year rate last season (4.70 against 2.54).

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 Collin Graf is weak or average, light where he’s strong
  • Evgeni MalkinC,LW · Pittsburgh Penguinscovers 4
    fills: A, PIM, PPP, SOG
  • Matvei MichkovLW,RW · Philadelphia Flyerscovers 3
    fills: PIM, A, SOG
  • Gavin McKennaLW · Toronto Maple Leafscovers 3
    fills: A, PPP, PIM
  • Mathew BarzalC,RW · New York Islanderscovers 4
    fills: A, SOG, PPP, PIM
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 · Ryan Warsofsky (SJS)
Last year: Ryan Warsofsky full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI16.7616.4415.86+4%
5v5 TOI13.6312.9212.17+6%
PP TOI0.350.491.26-61%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 20 · 21
TOI*
3-yr 15.8616.31Q1Q2Q3Q4
5v5 TOI
3-yr 12.1713.76Q1Q2Q3Q4
PP TOI
3-yr 1.260.06Q1Q2Q3Q4
*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
16.7622-2323-2424-2525-2626-27
5v5 TOI
13.6322-2323-2424-2525-2626-27
PP TOI
0.3522-2323-2424-2525-2626-27

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/606.895.854.18+40%
G/600.950.920.45+104%
iSH%13.8415.7310.77+46%
ixG/600.840.46+83%
iCF/6010.727.17+50%
iSCF/607.744.78+62%
iHDCF/604.932.84+74%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 20 · 21
SOG/60
3-yr 4.186.64Q1Q2Q3Q4
iSH%
3-yr 10.7712.50Q1Q2Q3Q4
ixG/60
3-yr 0.461.16Q1Q2Q3Q4
iCF/60
3-yr 7.1711.00Q1Q2Q3Q4
iSCF/60
3-yr 4.788.72Q1Q2Q3Q4
iHDCF/60
3-yr 2.845.81Q1Q2Q3Q4
By season — year over year
SOG/60
5.8522-2323-2424-2525-26
iSH%
15.7322-2323-2424-2525-26
ixG/60
0.8422-2323-2424-2525-26
iCF/60
10.7222-2323-2424-2525-26
iSCF/60
7.7422-2323-2424-2525-26
iHDCF/60
4.9322-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
1922-2323-2424-25H1H226-27
all5v5
SOG
12522-2323-2424-25H1H226-27
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)
TailwindProcess rising: 5v5 ixG/60 0.84 (80th pct league-wide) up on the 3-yr 0.46 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.
TailwindShot volume up 40% (5v5 SOG/60 5.85 vs 4.18) — volume is the repeatable half, so this raises the goal ceiling.
TailwindTrajectory: 5v5 ixG/60 climbed 0.60→1.04 across the year — process trending the right way into next season.
TailwindAge 23 — still on the up-slope of the scoring curve.

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%10.7810.919.92+10%
IPP69.5075.9340.18+89%
1A/600.330.460.15+207%
2A/600.360.460.30+53%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 20 · 21
1A/60
3-yr 0.150.42Q1Q2Q3Q4
2A/60
3-yr 0.300.21Q1Q2Q3Q4
By season — year over year
1A/60
0.4622-2323-2424-2525-26
2A/60
0.4622-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
1822-2323-2424-25H1H226-27
all5v5
PTS
3722-2323-2424-25H1H226-27
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)
RiskIPP spiked to 75.9% vs 40.2% 3-yr — point participation this far above baseline rarely holds; assist share likely gives a little back.
TailwindShot-driving up (5v5 iCF/60 10.72 vs 7.17) — real creation underneath, so don't over-regress the helpers.
TailwindHigh-danger setups up (iHDCF/60 4.93 vs 2.84) — the dangerous chances that turn into primary assists are trending up.
RiskAssist gain leans on secondary helpers (2A/60 0.46 vs 3-yr 0.30) — the least repeatable slice; projected back toward baseline.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI0.350.491.26-61%
PP iSH%12.960.0016.61-100%
PP SOG/604.414.528.67-48%
PP ixG/600.601.24-52%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 20 · 21
PP TOI/GP
3-yr 1.260.06Q1Q2Q3Q4
PP SOG/60
3-yr 8.670.00Q1Q2Q3Q4
PP ixG/60
3-yr 1.240.00Q1Q2Q3Q4
By season — year over year
PP TOI/GP
0.4922-2323-2424-2525-26
PP SOG/60
4.5222-2323-2424-2525-26
PP ixG/60
0.6022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
122-2323-2424-25H1H226-27
PPG
022-2323-2424-25H1H226-27
PPA
122-2323-2424-25H1H226-27
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)
RiskPP role projected down: 0.5→0.4 PP TOI/gp (role tapered late (Q4 0.1 vs 0.5 full-year) — projected toward the softer finish) — 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
2025-26Prev 3Diff
PIMs/600.920.690.90-23%
Hits/603.844.702.54+85%
Blks/601.791.891.79+6%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 20 · 21
PIMs/60
3-yr 0.900.83Q1Q2Q3Q4
Hits/60
3-yr 2.544.36Q1Q2Q3Q4
Blks/60
3-yr 1.791.45Q1Q2Q3Q4
By season — year over year
PIMs/60
0.6922-2323-2424-2525-26
Hits/60
4.7022-2323-2424-2525-26
Blks/60
1.8922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
1722-2323-2424-25H1H226-27
all5v5
HITS
7722-2323-2424-25H1H226-27
all5v5
BLK
4622-2323-2424-25H1H226-27
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 4.70/60 (57th pct league-wide) → 3.84 projected.
RiskBlocks tailing off: Q4 1.45/60 and 2nd-half 1.63 below the 1.89 season rate — projected DOWN to 1.79/60, weighting the recent decline over the 1.79 3-yr mark.