🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Mason McTavish

STL · Age 23.5 · 🇨🇭 Switzerland · 6′0″, 213 lb · Draft 2021, 3rd overall (ANA)
STLteam
Cposition
65position rank
210skater rank
27overall
-1offense
28peripherals

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

Per 82 GP2026-27projection adj2025-2675 GPH234 GPH141 GPPrev 3220 GP · 3y
TOI15.6515.3213.6115.4916.16
PP TOI2.202.052.171.952.46
G1819152122
A3126213029
PTS4945375151
PPP1112121213
SOG150160148169176
PIM4146216662
Hits1191041258671
Blocks3236274337

Sample: 75 GP · 936 5v5 min (2025-26) — how much ice time backs these rates

Positional rankingCentre · league-wide (of 271)
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): Baseline is his 2025-26 Anaheim season. Traded to St. Louis for a settled 2C role.

Context brain — deployment, role, coaching & injury signals (why the line should move)
ContextBaseline capped by current role; large trade-contingent upside. · Apples & Ginos Fantasy Hockey
TailwindRaise 5v5 floors for Anaheim's young core; minutes must be earned defensively. · Coaching landscape report
TailwindHold a solid 2C line; modest role stability. · Apples & Ginos Fantasy Hockey

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
Hits/60
3-yr 3.859.20Q1Q2Q3Q4

Hits/60 finished the year 83% above where it started (4.23 in the first half, 7.74 in the second). The projection leans on how the season ended, so the second half counts for more.

Second-half fade
PIM
4122-2323-2424-25H1H226-27
all5v5

Penalty minutes ran at a 21 pace in the second half after 66 in the first, per 82 games.

Below his 3-year rate
iSH%
7.5122-2323-2424-2525-26

iSH% ran 31% below his 3-year rate last season (7.51 against 10.82).

Below his 3-year rate
PP TOI
2.2022-2323-2424-2525-2626-27

PP TOI ran 17% below his 3-year rate last season (2.05 against 2.46).

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 Mason McTavish 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 · Jim Montgomery (STL)
Last year (ANA, traded): Joel Quenneville full season (1st yr) — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI15.6515.3216.16-5%
5v5 TOI11.5512.4913.03-4%
PP TOI2.202.052.46-17%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 20 · 17 · 17
TOI*
3-yr 16.1612.69Q1Q2Q3Q4
5v5 TOI
3-yr 13.0310.35Q1Q2Q3Q4
PP TOI
3-yr 2.462.24Q1Q2Q3Q4
*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
15.6522-2323-2424-2525-2626-27
5v5 TOI
11.5522-2323-2424-2525-2626-27
PP TOI
2.2022-2323-2424-2525-2626-27

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/606.996.796.59+3%
G/600.610.510.71-28%
iSH%8.777.5110.82-31%
ixG/600.960.78+23%
iCF/6015.8212.37+28%
iSCF/608.657.52+15%
iHDCF/604.803.89+23%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 20 · 17 · 17
SOG/60
3-yr 6.597.84Q1Q2Q3Q4
iSH%
3-yr 10.824.34Q1Q2Q3Q4
ixG/60
3-yr 0.780.83Q1Q2Q3Q4
iCF/60
3-yr 12.3717.39Q1Q2Q3Q4
iSCF/60
3-yr 7.527.84Q1Q2Q3Q4
iHDCF/60
3-yr 3.894.43Q1Q2Q3Q4
By season — year over year
SOG/60
6.7922-2323-2424-2525-26
iSH%
7.5122-2323-2424-2525-26
ixG/60
0.9622-2323-2424-2525-26
iCF/60
15.8222-2323-2424-2525-26
iSCF/60
8.6522-2323-2424-2525-26
iHDCF/60
4.8022-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
1822-2323-2424-25H1H226-27
all5v5
SOG
15022-2323-2424-25H1H226-27
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 7.5% vs 10.8% 3-yr while 5v5 ixG/60 0.96 (92nd pct league-wide) held/rose — the chances say the finishing rebounds toward 8.8%, lifting the goal rate ~20%.
ContextTrajectory: 5v5 ixG/60 fell from 1.06 (1st half) to 0.80 (2nd) even though shot volume held — a chance-quality dip, not a volume one.
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%9.449.339.71-4%
IPP59.0955.5669.80-20%
1A/600.680.700.69+1%
2A/600.500.380.44-14%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 20 · 17 · 17
1A/60
3-yr 0.690.68Q1Q2Q3Q4
2A/60
3-yr 0.440.34Q1Q2Q3Q4
By season — year over year
1A/60
0.7022-2323-2424-2525-26
2A/60
0.3822-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
3122-2323-2424-25H1H226-27
all5v5
PTS
4922-2323-2424-25H1H226-27
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 55.6% sits below the 69.8% 3-yr mark — participation should rebound, nudging assists up.
TailwindShot-driving up (5v5 iCF/60 15.82 vs 12.37) — real creation underneath, so don't over-regress the helpers.
TailwindHigh-danger setups up (iHDCF/60 4.80 vs 3.89) — 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 TOI2.202.052.46-17%
PP iSH%13.9319.9812.23+63%
PP SOG/6011.6311.7115.40-24%
PP ixG/602.092.45-15%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 20 · 17 · 17
PP TOI/GP
3-yr 2.462.24Q1Q2Q3Q4
PP SOG/60
3-yr 15.409.45Q1Q2Q3Q4
PP ixG/60
3-yr 2.451.02Q1Q2Q3Q4
By season — year over year
PP TOI/GP
2.0522-2323-2424-2525-26
PP SOG/60
11.7122-2323-2424-2525-26
PP ixG/60
2.0922-2323-2424-2525-26
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 ~2.2 PP TOI/gp.
RiskPP finishing ran hot (20.0% vs 12.2% 3-yr) with flat PP chances (PP ixG/60 2.09) — expect PP goals to cool.

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/601.962.313.01-23%
Hits/606.995.643.85+46%
Blks/601.861.921.90+1%
By quarter — 2025-26 vs 3-yr baseline
GP  21 · 20 · 17 · 17
PIMs/60
3-yr 3.010.68Q1Q2Q3Q4
Hits/60
3-yr 3.859.20Q1Q2Q3Q4
Blks/60
3-yr 1.901.70Q1Q2Q3Q4
By season — year over year
PIMs/60
2.3122-2323-2424-2525-26
Hits/60
5.6422-2323-2424-2525-26
Blks/60
1.9222-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
4122-2323-2424-25H1H226-27
all5v5
HITS
11922-2323-2424-25H1H226-27
all5v5
BLK
3222-2323-2424-25H1H226-27
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 9.20/60 and 2nd-half 7.74 vs a 5.64 season rate (3.85 3-yr) (66th pct league-wide) — reads as a real role/confidence step, so projected UP to 6.99/60, weighting the finish over the 3-yr baseline.
RiskBlocks tailing off: Q4 1.70/60 and 2nd-half 1.56 below the 1.92 season rate — projected DOWN to 1.86/60, weighting the recent decline over the 1.90 3-yr mark.