🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Maxim Tsyplakov

CGY · Age 27.9 · 🇷🇺 Russia · 6′3″, 210 lb · Undrafted
CGYteam
LWposition
251position rank
743skater rank
-48overall
-47offense
-2peripherals

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

Per 82 GP2026-27projection adj2025-2649 GPH226 GPH123 GPPrev 377 GP · 1y
TOI10.249.128.509.6314.97
PP TOI0.170.120.070.171.54
G733411
A1636-027
PTS2379337
PPP00003
SOG82707961124
PIM231013742
Hits120139131148148
Blocks2513131443

Sample: 49 GP · 435 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.

Context-adjusted (▲/▼ vs the rate-model baseline): HEDGED DOWN 2026-07-27 (CGY pass). We had him at 28, which rested on applying a x1.35 boost toward his Islanders rookie pace (~37 per-82) — but that pace came from top-nine minutes, and the engine gives him 10.24 TOI in Calgary. We were applying a rookie-year RATE to a fourth-liner's ICE TIME. The outside read has him 4th line at ~14 per-84 over 65 GP, and the other source does not project him at all. Cut to x1.12, lands ~22-23: still above the outside 14 (which under-rates ~148 hits/82 and a real rookie season) but well off our 28. Also fixed a stale 'team': 'New York Islanders' field that survived the trade to Calgary.

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
iHDCF/60
3-yr 3.564.00Q1Q2Q3Q4

iHDCF/60 finished the year 136% above where it started (1.97 in the first half, 4.64 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half surge
ixG/60
3-yr 0.830.90Q1Q2Q3Q4

ixG/60 finished the year 58% above where it started (0.52 in the first half, 0.81 in the second). The projection leans on how the season ended, so the second half counts for more.

Below his 3-year rate
1A/60
0.2822-2323-2424-2525-26

1A/60 ran 61% below his 3-year rate last season (0.28 against 0.71).

Below his 3-year rate
Blks/60
1.1022-2323-2424-2525-26

Blks/60 ran 51% below his 3-year rate last season (1.10 against 2.25).

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 Maxim Tsyplakov 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 · Ryan Huska (CGY)
Last year (NYI, traded): Sheldon Keefe NJD · pre-trade → Peter DeBoer NYI · acquired mid-season (small sample) — in-season change
Metric26-27
proj
2025-26Prev 3Diff
TOI10.249.1214.97-39%
5v5 TOI9.648.8913.14-32%
PP TOI0.170.121.54-92%
By quarter — 2025-26 vs 3-yr baseline
GP  13 · 10 · 14 · 12
TOI*
3-yr 14.978.79Q1Q2Q3Q4
5v5 TOI
3-yr 13.148.75Q1Q2Q3Q4
PP TOI
3-yr 1.540.01Q1Q2Q3Q4
*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
10.2422-2323-2424-2525-2626-27
5v5 TOI
9.6422-2323-2424-2525-2626-27
PP TOI
0.1722-2323-2424-2525-2626-27

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/605.875.796.11-5%
G/600.380.280.47-40%
iSH%6.494.847.69-37%
ixG/600.660.83-20%
iCF/6012.4014.11-12%
iSCF/605.797.41-22%
iHDCF/603.313.56-7%
By quarter — 2025-26 vs 3-yr baseline
GP  13 · 10 · 14 · 12
SOG/60
3-yr 6.116.28Q1Q2Q3Q4
iSH%
3-yr 7.699.08Q1Q2Q3Q4
ixG/60
3-yr 0.830.90Q1Q2Q3Q4
iCF/60
3-yr 14.1113.14Q1Q2Q3Q4
iSCF/60
3-yr 7.416.28Q1Q2Q3Q4
iHDCF/60
3-yr 3.564.00Q1Q2Q3Q4
By season — year over year
SOG/60
5.7922-2323-2424-2525-26
iSH%
4.8422-2323-2424-2525-26
ixG/60
0.6622-2323-2424-2525-26
iCF/60
12.4022-2323-2424-2525-26
iSCF/60
5.7922-2323-2424-2525-26
iHDCF/60
3.3122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
722-2323-2424-25H1H226-27
all5v5
SOG
8222-2323-2424-25H1H226-27
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)
ContextFinishing looks earned: iSH% 4.8% sits near the 7.7% 3-yr mark with 5v5 ixG/60 0.66 (57th pct league-wide) — goals held close to last year.
TailwindTrajectory: 5v5 ixG/60 climbed 0.52→0.81 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
2025-26Prev 3Diff
on-ice SH%6.755.269.19-43%
IPP54.2944.3570.50-37%
1A/600.460.280.71-61%
2A/600.420.000.65-100%
By quarter — 2025-26 vs 3-yr baseline
GP  13 · 10 · 14 · 12
1A/60
3-yr 0.710.57Q1Q2Q3Q4
2A/60
3-yr 0.650.00Q1Q2Q3Q4
By season — year over year
1A/60
0.2822-2323-2424-2525-26
2A/60
0.0022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
1622-2323-2424-25H1H226-27
all5v5
PTS
2322-2323-2424-25H1H226-27
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)
TailwindIPP 44.4% sits below the 70.5% 3-yr mark — participation should rebound, nudging assists up.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI0.170.121.54-92%
PP iSH%n/a9.90
PP SOG/601.010.005.05-100%
PP ixG/601.121.59-30%
By quarter — 2025-26 vs 3-yr baseline
GP  13 · 10 · 14 · 12
PP TOI/GP
3-yr 1.540.01Q1Q2Q3Q4
PP SOG/60
3-yr 5.050.00Q1Q2Q3Q4
PP ixG/60
3-yr 1.590.00Q1Q2Q3Q4
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
1.1222-2323-2424-2525-26
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)
TailwindPP role projected up: 0.1→0.2 PP TOI/gp (role tapered late (Q4 0.0 vs 0.1 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/601.120.831.84-55%
Hits/6010.0311.308.12+39%
Blks/601.491.102.25-51%
By quarter — 2025-26 vs 3-yr baseline
GP  13 · 10 · 14 · 12
PIMs/60
3-yr 1.840.00Q1Q2Q3Q4
Hits/60
3-yr 8.1213.71Q1Q2Q3Q4
Blks/60
3-yr 2.251.14Q1Q2Q3Q4
By season — year over year
PIMs/60
0.8322-2323-2424-2525-26
Hits/60
11.3022-2323-2424-2525-26
Blks/60
1.1022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
2322-2323-2424-25H1H226-27
all5v5
HITS
12022-2323-2424-25H1H226-27
all5v5
BLK
2522-2323-2424-25H1H226-27
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)
TailwindElite hits volume (88th pct) and role-stable — a bankable hits floor (10.03/60 projected).
RiskBottom-of-league blocks (5th pct) — no meaningful floor here, don't draft for it.