🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Dylan Guenther

UTA · Age 23.3 · 🇨🇦 Canada · 6′2″, 175 lb · Draft 2021, 9th overall (ARI)
UTAteam
RWposition
17position rank
41skater rank
102overall
58offense
44peripherals

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

Per 82 GP2026-27projection2025-2679 GPH237 GPH142 GPPrev 3148 GP · 3y
TOI17.7017.4016.7016.2915.91
PP TOI3.303.263.023.462.91
G3742483628
A3934363233
PTS7676846961
PPP2925312027
SOG253251238263209
PIM2829352328
Hits6968637357
Blocks4129352441

Sample: 79 GP · 1,023 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.

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
Above his 3-year rate
iSH%
16.7522-2323-2424-2525-26

iSH% ran 106% above his 3-year rate last season (16.75 against 8.12).

Second-half surge
PPP
2922-2323-2424-25H1H226-27

Power play points ran at a 31 pace in the second half after 20 in the first, per 82 games.

Second-half fade
1A/60
3-yr 0.540.49Q1Q2Q3Q4

1A/60 finished the year 52% below where it started (1.02 in the first half, 0.48 in the second). The projection leans on how the season ended, so the second half counts for more.

We project it up
BLK
4122-2323-2424-25H1H226-27
all5v5

We’re projecting blocks 41% above last season, 29 to 41.

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
  • Alex DeBrincatLW · Detroit Red Wings90% match
    shared: SOG, PPP, G, A
  • Bo HorvatC · New York Islanders88% match
    shared: SOG, G, PPP
  • John TavaresC · Toronto Maple Leafs88% match
    shared: SOG, G, PPP, A
  • Tage ThompsonC,RW · Buffalo Sabres87% match
    shared: SOG, G, PPP, A
Complementary Forward
Same position, opposite profile — strong where Dylan Guenther 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 · André Tourigny (UTA)
Last year: André Tourigny full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI17.7017.4015.91+9%
5v5 TOI13.5912.9611.88+9%
PP TOI3.303.262.91+12%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 21 · 19 · 18
TOI*
3-yr 15.9117.38Q1Q2Q3Q4
5v5 TOI
3-yr 11.8813.72Q1Q2Q3Q4
PP TOI
3-yr 2.913.39Q1Q2Q3Q4
*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
17.7022-2323-2424-2525-2626-27
5v5 TOI
13.5922-2323-2424-2525-2626-27
PP TOI
3.3022-2323-2424-2525-2626-27

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/6010.089.798.39+17%
G/601.361.640.68+141%
iSH%13.4716.758.12+106%
ixG/601.000.69+44%
iCF/6021.3917.94+19%
iSCF/6010.498.87+18%
iHDCF/604.282.35+82%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 21 · 19 · 18
SOG/60
3-yr 8.398.26Q1Q2Q3Q4
iSH%
3-yr 8.1223.49Q1Q2Q3Q4
ixG/60
3-yr 0.691.08Q1Q2Q3Q4
iCF/60
3-yr 17.9422.83Q1Q2Q3Q4
iSCF/60
3-yr 8.8711.90Q1Q2Q3Q4
iHDCF/60
3-yr 2.354.86Q1Q2Q3Q4
By season — year over year
SOG/60
9.7922-2323-2424-2525-26
iSH%
16.7522-2323-2424-2525-26
ixG/60
1.0022-2323-2424-2525-26
iCF/60
21.3922-2323-2424-2525-26
iSCF/60
10.4922-2323-2424-2525-26
iHDCF/60
4.2822-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
3722-2323-2424-25H1H226-27
all5v5
SOG
25322-2323-2424-25H1H226-27
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 1.00 (94th pct league-wide) up on the 3-yr 0.69 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.
TailwindShot volume up 17% (5v5 SOG/60 9.79 vs 8.39) — volume is the repeatable half, so this raises the goal ceiling.
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%10.7211.108.98+24%
IPP75.5076.8367.00+15%
1A/600.670.760.54+40%
2A/600.340.120.51-76%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 21 · 19 · 18
1A/60
3-yr 0.540.49Q1Q2Q3Q4
2A/60
3-yr 0.510.24Q1Q2Q3Q4
By season — year over year
1A/60
0.7622-2323-2424-2525-26
2A/60
0.1222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
3922-2323-2424-25H1H226-27
all5v5
PTS
7622-2323-2424-25H1H226-27
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)
RiskOn-ice SH% hot at 11.1% vs a 9.0% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.
TailwindShot-driving up (5v5 iCF/60 21.39 vs 17.94) — real creation underneath, so don't over-regress the helpers.
TailwindHigh-danger setups up (iHDCF/60 4.28 vs 2.35) — the dangerous chances that turn into primary assists are trending up.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI3.303.262.91+12%
PP iSH%20.7215.7924.29-35%
PP SOG/6013.4013.3014.34-7%
PP ixG/601.971.72+15%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 21 · 19 · 18
PP TOI/GP
3-yr 2.913.39Q1Q2Q3Q4
PP SOG/60
3-yr 14.3410.82Q1Q2Q3Q4
PP ixG/60
3-yr 1.721.99Q1Q2Q3Q4
By season — year over year
PP TOI/GP
3.2622-2323-2424-2525-26
PP SOG/60
13.3022-2323-2424-2525-26
PP ixG/60
1.9722-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
2922-2323-2424-25H1H226-27
PPG
1222-2323-2424-25H1H226-27
PPA
1722-2323-2424-25H1H226-27
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 ~3.3 PP TOI/gp.
TailwindPP finishing ran cold (15.8% vs 24.3%) over steady PP chances — PP goals should rebound.

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/601.561.641.50+9%
Hits/603.493.633.28+11%
Blks/601.771.412.32-39%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 21 · 19 · 18
PIMs/60
3-yr 1.500.49Q1Q2Q3Q4
Hits/60
3-yr 3.284.62Q1Q2Q3Q4
Blks/60
3-yr 2.321.21Q1Q2Q3Q4
By season — year over year
PIMs/60
1.6422-2323-2424-2525-26
Hits/60
3.6322-2323-2424-2525-26
Blks/60
1.4122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
2822-2323-2424-25H1H226-27
all5v5
HITS
6922-2323-2424-25H1H226-27
all5v5
BLK
4122-2323-2424-25H1H226-27
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 3.63/60 (45th pct league-wide) → 3.49 projected.
RiskBottom-of-league blocks (14th pct) — no meaningful floor here, don't draft for it.