🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Artem Zub

OTT · Age 30.8 · 🇷🇺 Russia · 6′2″, 200 lb · Undrafted
OTTteam
Dposition
109position rank
332skater rank
2overall
-45offense
47peripherals

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

Per 82 GP2026-27projection2025-2681 GPH242 GPH139 GPPrev 3178 GP · 3y
TOI20.7820.7920.3119.4020.67
PP TOI0.120.120.100.130.12
G45465
A2225292118
PTS2630332722
PPP00000
SOG9193959184
PIM5458506648
Hits75674095151
Blocks140122123120139

Sample: 81 GP · 1,371 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingDefense · league-wide (of 303)
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 fade
HITS
7522-2323-2424-25H1H226-27
all5v5

Hits ran at a 40 pace in the second half after 95 in the first, per 82 games.

Second-half surge
A
2222-2323-2424-25H1H226-27
all5v5

Assists ran at a 29 pace in the second half after 21 in the first, per 82 games.

Above his 3-year rate
SOG/60
3.9822-2323-2424-2525-26

SOG/60 ran 25% above his 3-year rate last season (3.98 against 3.18).

We project it up
BLK
14022-2323-2424-25H1H226-27
all5v5

We’re projecting blocks 15% above last season, 122 to 140.

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
Complementary Defense
Same position, opposite profile — strong where Artem Zub is weak or average, light where he’s strong
  • Cale MakarD · Colorado Avalanchecovers 3
    fills: A, PPP, SOG
  • Zach WerenskiD · Columbus Blue Jacketscovers 3
    fills: SOG, A, PPP
  • Quinn HughesD · Minnesota Wildcovers 3
    fills: A, PPP, SOG
  • 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
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 · Travis Green (OTT)
Last year: Travis Green full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI20.7820.7920.67+1%
5v5 TOI17.4616.9417.36-2%
PP TOI0.120.120.12-7%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 19 · 22 · 20
TOI*
3-yr 20.6721.31Q1Q2Q3Q4
5v5 TOI
3-yr 17.3618.33Q1Q2Q3Q4
PP TOI
3-yr 0.120.16Q1Q2Q3Q4
*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
20.7822-2323-2424-2525-2626-27
5v5 TOI
17.4622-2323-2424-2525-2626-27
PP TOI
0.1222-2323-2424-2525-2626-27

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/603.983.983.18+25%
G/600.170.220.09+132%
iSH%4.255.532.98+86%
ixG/600.150.11+38%
iCF/609.537.82+22%
iSCF/602.491.79+39%
iHDCF/600.310.25+23%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 19 · 22 · 20
SOG/60
3-yr 3.183.60Q1Q2Q3Q4
iSH%
3-yr 2.984.44Q1Q2Q3Q4
ixG/60
3-yr 0.110.10Q1Q2Q3Q4
iCF/60
3-yr 7.828.02Q1Q2Q3Q4
iSCF/60
3-yr 1.791.96Q1Q2Q3Q4
iHDCF/60
3-yr 0.250.00Q1Q2Q3Q4
By season — year over year
SOG/60
3.9822-2323-2424-2525-26
iSH%
5.5322-2323-2424-2525-26
ixG/60
0.1522-2323-2424-2525-26
iCF/60
9.5322-2323-2424-2525-26
iSCF/60
2.4922-2323-2424-2525-26
iHDCF/60
0.3122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
422-2323-2424-25H1H226-27
all5v5
SOG
9122-2323-2424-25H1H226-27
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 0.15 (13th 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 %.
TailwindShot volume up 25% (5v5 SOG/60 3.98 vs 3.18) — volume is the repeatable half, so this raises the goal ceiling.
ContextTrajectory: 5v5 ixG/60 fell from 0.17 (1st half) to 0.14 (2nd) even though shot volume held — a chance-quality dip, not a volume one.

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%9.059.297.96+17%
IPP43.4946.5329.63+57%
1A/600.420.570.25+126%
2A/600.330.350.35+0%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 19 · 22 · 20
1A/60
3-yr 0.250.82Q1Q2Q3Q4
2A/60
3-yr 0.350.33Q1Q2Q3Q4
By season — year over year
1A/60
0.5722-2323-2424-2525-26
2A/60
0.3522-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
2222-2323-2424-25H1H226-27
all5v5
PTS
2622-2323-2424-25H1H226-27
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 46.5% vs 29.6% 3-yr — point participation this far above baseline rarely holds; assist share likely gives a little back.
TailwindShot-driving up (5v5 iCF/60 9.53 vs 7.82) — real creation underneath, so don't over-regress the helpers.
TailwindHigh-danger setups up (iHDCF/60 0.31 vs 0.25) — 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.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI0.120.120.12-7%
PP iSH%n/a0.00
PP SOG/600.670.002.70-100%
PP ixG/600.000.09-100%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 19 · 22 · 20
PP TOI/GP
3-yr 0.120.16Q1Q2Q3Q4
PP SOG/60
3-yr 2.700.00Q1Q2Q3Q4
PP ixG/60
3-yr 0.090.00Q1Q2Q3Q4
By season — year over year
PP TOI/GP
0.1222-2323-2424-2525-26
PP SOG/60
0.0022-2323-2424-2525-26
PP ixG/60
0.0022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
022-2323-2424-25H1H226-27
PPG
022-2323-2424-25H1H226-27
PPA
022-2323-2424-25H1H226-27
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 ~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
2025-26Prev 3Diff
PIMs/601.841.841.90-3%
Hits/602.902.675.63-53%
Blks/604.104.024.21-5%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 19 · 22 · 20
PIMs/60
3-yr 1.901.96Q1Q2Q3Q4
Hits/60
3-yr 5.631.47Q1Q2Q3Q4
Blks/60
3-yr 4.214.09Q1Q2Q3Q4
By season — year over year
PIMs/60
1.8422-2323-2424-2525-26
Hits/60
2.6722-2323-2424-2525-26
Blks/60
4.0222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
5422-2323-2424-25H1H226-27
all5v5
HITS
7522-2323-2424-25H1H226-27
all5v5
BLK
14022-2323-2424-25H1H226-27
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)
RiskHits tailing off: Q4 1.47/60 and 2nd-half 1.48 below the 2.67 season rate — projected DOWN to 2.90/60, weighting the recent decline over the 5.63 3-yr mark.
ContextBlocks role-stable at 4.02/60 (81st pct league-wide) → 4.10 projected.