🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Tyler Tucker

STL · Age 26.4 · 🇨🇦 Canada · 6′1″, 204 lb · Draft 2018, 200th overall (STL)
STLteam
Dposition
88position rank
294skater rank
8overall
-53offense
61peripherals

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

Per 82 GP2026-27projection2025-2669 GPH231 GPH138 GPPrev 390 GP · 3y
TOI14.3114.3615.1513.6113.98
PP TOI0.020.030.010.120.04
G54525
A121721137
PTS1720261512
PPP00000
SOG7380758365
PIM105969795117
Hits149119143100178
Blocks8161675684

Sample: 69 GP · 906 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 surge
A
1222-2323-2424-25H1H226-27
all5v5

Assists ran at a 21 pace in the second half after 13 in the first, per 82 games.

Second-half surge
1A/60
3-yr 0.101.13Q1Q2Q3Q4

1A/60 finished the year 51% above where it started (0.38 in the first half, 0.56 in the second). The projection leans on how the season ended, so the second half counts for more.

We project it up
BLK
8122-2323-2424-25H1H226-27
all5v5

We’re projecting blocks 33% above last season, 61 to 81.

Below his 3-year rate
Hits/60
6.4922-2323-2424-2525-26

Hits/60 ran 33% below his 3-year rate last season (6.49 against 9.68).

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 Tyler Tucker 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 · Jim Montgomery (STL)
Last year: Jim Montgomery full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI14.3114.3613.98+3%
5v5 TOI13.7513.1313.22-1%
PP TOI0.020.030.04-8%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 18 · 20 · 11
TOI*
3-yr 13.9815.54Q1Q2Q3Q4
5v5 TOI
3-yr 13.2214.43Q1Q2Q3Q4
PP TOI
3-yr 0.040.01Q1Q2Q3Q4
*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
14.3122-2323-2424-2525-2626-27
5v5 TOI
13.7522-2323-2424-2525-2626-27
PP TOI
0.0222-2323-2424-2525-2626-27

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/604.094.373.58+22%
G/600.240.200.25-20%
iSH%5.784.586.99-34%
ixG/600.230.11+104%
iCF/6010.539.68+9%
iSCF/602.912.42+20%
iHDCF/600.460.20+127%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 18 · 20 · 11
SOG/60
3-yr 3.582.27Q1Q2Q3Q4
iSH%
3-yr 6.990.00Q1Q2Q3Q4
ixG/60
3-yr 0.110.32Q1Q2Q3Q4
iCF/60
3-yr 9.688.31Q1Q2Q3Q4
iSCF/60
3-yr 2.422.65Q1Q2Q3Q4
iHDCF/60
3-yr 0.201.13Q1Q2Q3Q4
By season — year over year
SOG/60
4.3722-2323-2424-2525-26
iSH%
4.5822-2323-2424-2525-26
ixG/60
0.2322-2323-2424-2525-26
iCF/60
10.5322-2323-2424-2525-26
iSCF/60
2.9122-2323-2424-2525-26
iHDCF/60
0.4622-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
522-2323-2424-25H1H226-27
all5v5
SOG
7322-2323-2424-25H1H226-27
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)
TailwindGoals projected UP: iSH% cratered to 4.6% vs 7.0% 3-yr while 5v5 ixG/60 0.23 (26th pct league-wide) held/rose — the chances say the finishing rebounds toward 5.8%, lifting the goal rate ~18%.
TailwindShot volume up 22% (5v5 SOG/60 4.37 vs 3.58) — volume is the repeatable half, so this raises the goal ceiling.
TailwindTrajectory: 5v5 ixG/60 climbed 0.14→0.33 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%10.8411.219.18+22%
IPP37.3339.6526.77+48%
1A/600.280.400.10+294%
2A/600.330.530.25+112%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 18 · 20 · 11
1A/60
3-yr 0.101.13Q1Q2Q3Q4
2A/60
3-yr 0.250.38Q1Q2Q3Q4
By season — year over year
1A/60
0.4022-2323-2424-2525-26
2A/60
0.5322-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
1222-2323-2424-25H1H226-27
all5v5
PTS
1722-2323-2424-25H1H226-27
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)
RiskAssists projected DOWN: on-ice SH% 11.2% (3-yr 9.2%) AND IPP 39.6% (3-yr 26.8%) both ran hot — team finishing + participation luck stacked. Regressing both trims the assist rate ~7%.
TailwindShot-driving up (5v5 iCF/60 10.53 vs 9.68) — real creation underneath, so don't over-regress the helpers.
TailwindHigh-danger setups up (iHDCF/60 0.46 vs 0.20) — the dangerous chances that turn into primary assists are trending up.
RiskAssist gain leans on secondary helpers (2A/60 0.53 vs 3-yr 0.25) — the least repeatable slice; projected back toward baseline.
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 TOI0.020.030.04-8%
PP iSH%n/an/a
PP SOG/600.000.000.00
PP ixG/600.000.00
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 18 · 20 · 11
PP TOI/GP
3-yr 0.040.01Q1Q2Q3Q4
PP SOG/60
3-yr 0.000.00Q1Q2Q3Q4
PP ixG/60
3-yr 0.000.00Q1Q2Q3Q4
By season — year over year
PP TOI/GP
0.0322-2323-2424-2525-26
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)
RiskPP role projected down: 0.0→0.0 PP TOI/gp (role tapered late (Q4 0.0 vs 0.0 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/605.095.236.35-18%
Hits/607.776.499.68-33%
Blks/603.392.914.18-30%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 18 · 20 · 11
PIMs/60
3-yr 6.351.51Q1Q2Q3Q4
Hits/60
3-yr 9.685.67Q1Q2Q3Q4
Blks/60
3-yr 4.183.40Q1Q2Q3Q4
By season — year over year
PIMs/60
5.2322-2323-2424-2525-26
Hits/60
6.4922-2323-2424-2525-26
Blks/60
2.9122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
10522-2323-2424-25H1H226-27
all5v5
HITS
14922-2323-2424-25H1H226-27
all5v5
BLK
8122-2323-2424-25H1H226-27
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 6.49/60 (72nd pct league-wide) → 7.77 projected.
TailwindBlocks surging late: Q4 3.40/60 and 2nd-half 3.11 vs a 2.91 season rate (4.18 3-yr) (60th pct league-wide) — reads as a real role/confidence step, so projected UP to 3.39/60, weighting the finish over the 3-yr baseline.
TailwindFights / takes majors (0.46/60) — a real PIM source, valuable in banger and PIM formats.