🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

Martin Necas

COL · Age 27.5 · 🇨🇿 Czechia · 6′2″, 189 lb · Draft 2017, 12th overall (CAR)
COLteam
RWposition
7position rank
19skater rank
123overall
85offense
38peripherals

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

Per 82 GP2026-27projection adj2025-2678 GPH238 GPH140 GPPrev 3238 GP · 3y
TOI21.0921.5020.9919.8018.27
PP TOI4.034.093.884.292.94
G3440413927
A6465597144
PTS9810510011071
PPP3425321826
SOG238217241193229
PIM2631194331
Hits8889978268
Blocks2827282725

Sample: 78 GP · 1,268 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.

Context-adjusted (▲/▼ vs the rate-model baseline): PP-led bump. The power play, not even strength, is where his 2025-26 broke: 24 PPP on career-high PP minutes after 37 the year before. PPP 28 -> 32 (rate hedged 60/40 back toward his 2024-25 level), assists 58 -> 62. His 5v5 rate really did decline through the season, so that fade is left largely intact. Lands at 96 points, below both external reads.

Context brain — deployment, role, coaching & injury signals (why the line should move)
TailwindHold an elevated top-line/PP scoring line. · Apples & Ginos Fantasy Hockey (Blake Cramer)

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%
18.6122-2323-2424-2525-26

iSH% ran 128% above his 3-year rate last season (18.61 against 8.16).

Second-half surge
PPP
3422-2323-2424-25H1H226-27

Power play points ran at a 32 pace in the second half after 18 in the first, per 82 games.

Second-half surge
PP ixG/60
3-yr 1.202.25Q1Q2Q3Q4

PP ixG/60 finished the year 79% above where it started (1.28 in the first half, 2.29 in the second). The projection leans on how the season ended, so the second half counts for more.

Above his 3-year rate
PP TOI
4.0322-2323-2424-2525-2626-27

PP TOI ran 39% above his 3-year rate last season (4.09 against 2.94).

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 Martin Necas 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 · Jared Bednar (COL)
Last year: Jared Bednar full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI21.0921.5018.27+18%
5v5 TOI16.4216.2713.99+16%
PP TOI4.034.092.94+39%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 19 · 19
TOI*
3-yr 18.2720.92Q1Q2Q3Q4
5v5 TOI
3-yr 13.9917.02Q1Q2Q3Q4
PP TOI
3-yr 2.943.88Q1Q2Q3Q4
*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
21.0922-2323-2424-2525-2626-27
5v5 TOI
16.4222-2323-2424-2525-2626-27
PP TOI
4.0322-2323-2424-2525-2626-27

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/606.346.348.41-25%
G/600.851.180.69+72%
iSH%12.5518.618.16+128%
ixG/600.700.79-11%
iCF/6013.2916.30-18%
iSCF/607.618.29-8%
iHDCF/602.883.20-10%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 19 · 19
SOG/60
3-yr 8.416.68Q1Q2Q3Q4
iSH%
3-yr 8.1619.46Q1Q2Q3Q4
ixG/60
3-yr 0.790.81Q1Q2Q3Q4
iCF/60
3-yr 16.3012.43Q1Q2Q3Q4
iSCF/60
3-yr 8.297.24Q1Q2Q3Q4
iHDCF/60
3-yr 3.203.90Q1Q2Q3Q4
By season — year over year
SOG/60
6.3422-2323-2424-2525-26
iSH%
18.6122-2323-2424-2525-26
ixG/60
0.7022-2323-2424-2525-26
iCF/60
13.2922-2323-2424-2525-26
iSCF/60
7.6122-2323-2424-2525-26
iHDCF/60
2.8822-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
3422-2323-2424-25H1H226-27
all5v5
SOG
23822-2323-2424-25H1H226-27
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)
RiskGoals projected DOWN: iSH% ran hot at 18.6% vs a 8.2% 3-yr mark while 5v5 ixG/60 0.70 (61st pct league-wide) was flat — finishing, not process. Regressing iSH% toward 12.5% pulls the goal rate ~28% down.
RiskShot volume down 25% (5v5 SOG/60 6.34 vs 8.41) — volume is the repeatable half, so this caps the goal ceiling.

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%10.5612.438.55+45%
IPP66.5167.6164.58+5%
1A/600.930.990.83+20%
2A/600.510.710.36+97%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 19 · 19
1A/60
3-yr 0.830.56Q1Q2Q3Q4
2A/60
3-yr 0.360.19Q1Q2Q3Q4
By season — year over year
1A/60
0.9922-2323-2424-2525-26
2A/60
0.7122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
6422-2323-2424-25H1H226-27
all5v5
PTS
9822-2323-2424-25H1H226-27
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 12.4% vs a 8.6% 3-yr mark — teammate finishing regresses (~8% is league-normal), so some assists come off.

Power play

PP opportunity and finishing — modelled separately from 5v5.

Metric26-27
proj
2025-26Prev 3Diff
PP TOI4.034.092.94+39%
PP iSH%18.4014.9820.87-28%
PP SOG/6011.7111.2811.93-5%
PP ixG/601.781.20+49%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 19 · 19
PP TOI/GP
3-yr 2.943.88Q1Q2Q3Q4
PP SOG/60
3-yr 11.9311.41Q1Q2Q3Q4
PP ixG/60
3-yr 1.202.25Q1Q2Q3Q4
By season — year over year
PP TOI/GP
4.0922-2323-2424-2525-26
PP SOG/60
11.2822-2323-2424-2525-26
PP ixG/60
1.7822-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
3422-2323-2424-25H1H226-27
PPG
1322-2323-2424-25H1H226-27
PPA
2122-2323-2424-25H1H226-27
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)
TailwindPositive PPP regression for MacKinnon/Necas on a system fix. · Apples & Ginos Fantasy Hockey
ContextPP role steady at ~4.0 PP TOI/gp.
TailwindPP finishing ran cold (15.0% vs 20.9%) 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/600.911.131.51-25%
Hits/603.613.743.42+9%
Blks/601.081.091.14-4%
By quarter — 2025-26 vs 3-yr baseline
GP  20 · 20 · 19 · 19
PIMs/60
3-yr 1.510.00Q1Q2Q3Q4
Hits/60
3-yr 3.423.34Q1Q2Q3Q4
Blks/60
3-yr 1.140.56Q1Q2Q3Q4
By season — year over year
PIMs/60
1.1322-2323-2424-2525-26
Hits/60
3.7422-2323-2424-2525-26
Blks/60
1.0922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
2622-2323-2424-25H1H226-27
all5v5
HITS
8822-2323-2424-25H1H226-27
all5v5
BLK
2822-2323-2424-25H1H226-27
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 3.74/60 (46th pct league-wide) → 3.61 projected.
RiskBlocks tailing off: Q4 0.56/60 and 2nd-half 1.11 below the 1.09 season rate — projected DOWN to 1.08/60, weighting the recent decline over the 1.14 3-yr mark.