🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Pavol Regenda

SJS · Age 26.7 · 🇸🇰 Slovakia · 6′4″, 212 lb · Undrafted
SJSteam
LW,RWposition
54position rank
157skater rank
42overall
-14offense
56peripherals

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

Per 82 GP2026-27projection2025-2624 GPH220 GPH14 GPPrev 3thin
TOI13.3513.3513.21
PP TOI1.351.471.29
G283116
A334
PTS313421
PPP11144
SOG137144114
PIM746866
Hits211202217
Blocks212020

Sample: 24 GP · 273 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
We project it down
PPP
1122-2323-2424-25H1H226-27

We’re projecting power play points 21% below last season, 14 to 11.

Top of the league
ixG/60
1.0622-2323-2424-2525-26

ixG/60 sits in the 97th percentile league-wide (1.06).

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 Pavol Regenda 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 Warsofsky (SJS)
Last year: Ryan Warsofsky full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI13.3513.35n/a
5v5 TOI11.5111.41n/a
PP TOI1.351.47n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 4 · 14 · 6
TOI*
12.71Q1Q2Q3Q4
5v5 TOI
12.02Q1Q2Q3Q4
PP TOI
0.54Q1Q2Q3Q4
*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
13.3522-2323-2424-2525-2626-27
5v5 TOI
11.5122-2323-2424-2525-2626-27
PP TOI
1.3522-2323-2424-2525-2626-27

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/606.706.79n/a
G/601.081.10n/a
iSH%16.2016.20n/a
ixG/601.06n/a
iCF/6011.17n/a
iSCF/608.11n/a
iHDCF/605.92n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 4 · 14 · 6
SOG/60
4.99Q1Q2Q3Q4
iSH%
16.63Q1Q2Q3Q4
ixG/60
0.71Q1Q2Q3Q4
iCF/60
9.15Q1Q2Q3Q4
iSCF/60
5.82Q1Q2Q3Q4
iHDCF/60
3.33Q1Q2Q3Q4
By season — year over year
SOG/60
6.7922-2323-2424-2525-26
iSH%
16.2022-2323-2424-2525-26
ixG/60
1.0622-2323-2424-2525-26
iCF/60
11.1722-2323-2424-2525-26
iSCF/60
8.1122-2323-2424-2525-26
iHDCF/60
5.9222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
2822-2323-2424-25H1H226-27
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.

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%10.4910.49n/a
IPP45.9645.96n/a
1A/600.220.22n/a
2A/600.000.00n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 4 · 14 · 6
1A/60
0.00Q1Q2Q3Q4
2A/60
0.00Q1Q2Q3Q4
By season — year over year
1A/60
0.2222-2323-2424-2525-26
2A/60
0.0022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
322-2323-2424-25H1H226-27
all5v5
PTS
3122-2323-2424-25H1H226-27
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% 10.5%, IPP 46.0%).

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI1.351.47n/a
PP iSH%44.4444.44n/a
PP SOG/6013.0815.30n/a
PP ixG/602.62n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 4 · 14 · 6
PP TOI/GP
0.54Q1Q2Q3Q4
PP SOG/60
0.00Q1Q2Q3Q4
PP ixG/60
0.00Q1Q2Q3Q4
By season — year over year
PP TOI/GP
1.4722-2323-2424-2525-26
PP SOG/60
15.3022-2323-2424-2525-26
PP ixG/60
2.6222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
1122-2323-2424-25H1H226-27
PPG
422-2323-2424-25H1H226-27
PPA
722-2323-2424-25H1H226-27
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 ~1.4 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/604.724.38n/a
Hits/6012.9712.49n/a
Blks/601.331.31n/a
By quarter — 2025-26 vs 3-yr baseline
GP  0 · 4 · 14 · 6
PIMs/60
8.32Q1Q2Q3Q4
Hits/60
18.30Q1Q2Q3Q4
Blks/60
1.66Q1Q2Q3Q4
By season — year over year
PIMs/60
4.3822-2323-2424-2525-26
Hits/60
12.4922-2323-2424-2525-26
Blks/60
1.3122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
7422-2323-2424-25H1H226-27
all5v5
HITS
21122-2323-2424-25H1H226-27
all5v5
BLK
2122-2323-2424-25H1H226-27
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)
TailwindHits surging late: Q4 18.30/60 and 2nd-half 14.48 vs a 12.49 season rate (n/a 3-yr) (90th pct league-wide) — reads as a real role/confidence step, so projected UP to 12.97/60, weighting the finish over the 3-yr baseline.
TailwindBlocks surging late: Q4 1.66/60 and 2nd-half 1.38 vs a 1.31 season rate (n/a 3-yr) (11th pct league-wide) — reads as a real role/confidence step, so projected UP to 1.33/60, weighting the finish over the 3-yr baseline.
TailwindStrong PIM rate (4.38/60 (91st pct league-wide)) — a banger-league asset.