🏒@HockeyBangers2026-27 projections

Overview

@HockeyBangers

2026-27 Projection

William Eklund

OTT · Age 23.8 · 🇸🇪 Sweden · 5′11″, 181 lb · Draft 2021, 7th overall (S.J)
OTTteam
LW,RWposition
35position rank
104skater rank
66overall
38offense
28peripherals

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

Per 82 GP2026-27projection adj2025-2678 GPH241 GPH137 GPPrev 3157 GP · 2y
TOI18.9318.5416.4118.8719.10
PP TOI3.402.912.253.632.71
G221692317
A4740433637
PTS6956526054
PPP2417122217
SOG182186166209146
PIM2734204930
Hits7276876349
Blocks5254486062

Sample: 78 GP · 1,110 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.

Context-adjusted (▲/▼ vs the rate-model baseline): Baseline is his 2025-26 San Jose season. Trade OTT -> largest projected value gain if the PP role lands (bet on the minutes, 2.91 -> 3.4); 60-65 pt target.

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 fade
G
2222-2323-2424-25H1H226-27
all5v5

Goals ran at a 9 pace in the second half after 23 in the first, per 82 games.

We project it up
PPP
2422-2323-2424-25H1H226-27

We’re projecting power play points 41% above last season, 17 to 24.

Above his 3-year rate
Hits/60
3.7822-2323-2424-2525-26

Hits/60 ran 66% above his 3-year rate last season (3.78 against 2.28).

Second-half fade
PP TOI
3-yr 2.711.55Q1Q2Q3Q4

PP TOI finished the year 38% below where it started (3.64 in the first half, 2.27 in the second). The projection leans on how the season ended, so the second half counts for more.

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 William Eklund 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 · Travis Green (OTT)
Last year (SJS, traded): Ryan Warsofsky full season — no change
Metric26-27
proj
2025-26Prev 3Diff
TOI18.9318.5419.10-3%
5v5 TOI14.3014.2414.22+0%
PP TOI3.402.912.71+7%
By quarter — 2025-26 vs 3-yr baseline
GP  17 · 20 · 20 · 21
TOI*
3-yr 19.1016.19Q1Q2Q3Q4
5v5 TOI
3-yr 14.2214.21Q1Q2Q3Q4
PP TOI
3-yr 2.711.55Q1Q2Q3Q4
*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
18.9322-2323-2424-2525-2626-27
5v5 TOI
14.3022-2323-2424-2525-2626-27
PP TOI
3.4022-2323-2424-2525-2626-27

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/607.126.914.92+41%
G/600.590.590.38+56%
iSH%8.228.547.71+11%
ixG/600.750.61+22%
iCF/6012.5310.13+24%
iSCF/607.085.62+26%
iHDCF/604.113.04+35%
By quarter — 2025-26 vs 3-yr baseline
GP  17 · 20 · 20 · 21
SOG/60
3-yr 4.925.83Q1Q2Q3Q4
iSH%
3-yr 7.7113.72Q1Q2Q3Q4
ixG/60
3-yr 0.610.76Q1Q2Q3Q4
iCF/60
3-yr 10.1313.07Q1Q2Q3Q4
iSCF/60
3-yr 5.626.64Q1Q2Q3Q4
iHDCF/60
3-yr 3.044.63Q1Q2Q3Q4
By season — year over year
SOG/60
6.9122-2323-2424-2525-26
iSH%
8.5422-2323-2424-2525-26
ixG/60
0.7522-2323-2424-2525-26
iCF/60
12.5322-2323-2424-2525-26
iSCF/60
7.0822-2323-2424-2525-26
iHDCF/60
4.1122-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
G
2222-2323-2424-25H1H226-27
all5v5
SOG
18222-2323-2424-25H1H226-27
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 0.75 (68th pct league-wide) up on the 3-yr 0.61 — the shot quality is real, so the projected goal rate leans on chances, not a hot %.
TailwindShot volume up 41% (5v5 SOG/60 6.91 vs 4.92) — 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%9.269.468.64+10%
IPP64.6765.7561.37+7%
1A/600.700.650.67-3%
2A/600.410.430.41+6%
By quarter — 2025-26 vs 3-yr baseline
GP  17 · 20 · 20 · 21
1A/60
3-yr 0.670.80Q1Q2Q3Q4
2A/60
3-yr 0.410.40Q1Q2Q3Q4
By season — year over year
1A/60
0.6522-2323-2424-2525-26
2A/60
0.4322-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
A
4722-2323-2424-25H1H226-27
all5v5
PTS
6922-2323-2424-25H1H226-27
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% 9.5%, IPP 65.7%).
TailwindShot-driving up (5v5 iCF/60 12.53 vs 10.13) — real creation underneath, so don't over-regress the helpers.
TailwindHigh-danger setups up (iHDCF/60 4.11 vs 3.04) — 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 TOI3.402.912.71+7%
PP iSH%18.658.3021.56-62%
PP SOG/609.499.529.18+4%
PP ixG/601.792.03-12%
By quarter — 2025-26 vs 3-yr baseline
GP  17 · 20 · 20 · 21
PP TOI/GP
3-yr 2.711.55Q1Q2Q3Q4
PP SOG/60
3-yr 9.187.35Q1Q2Q3Q4
PP ixG/60
3-yr 2.030.58Q1Q2Q3Q4
By season — year over year
PP TOI/GP
2.9122-2323-2424-2525-26
PP SOG/60
9.5222-2323-2424-2525-26
PP ixG/60
1.7922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PPP
2422-2323-2424-25H1H226-27
PPG
822-2323-2424-25H1H226-27
PPA
1622-2323-2424-25H1H226-27
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)
TailwindBoost toward a top-line/PP1 playmaker line; largest potential value gain if PP jumps from 16 to ~25 PPP. · Apples & Ginos Fantasy Hockey
TailwindPP role projected up: 2.9→3.4 PP TOI/gp (inherits the PP1 role Brady Tkachuk vacated in Ottawa (2.91 San Jose -> ~3.4 PP TOI); PP jumps from ~16 toward the ~25 PPP Tkachuk left, off the minutes) — 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/601.061.400.94+49%
Hits/603.593.782.28+66%
Blks/602.492.592.61-1%
By quarter — 2025-26 vs 3-yr baseline
GP  17 · 20 · 20 · 21
PIMs/60
3-yr 0.940.80Q1Q2Q3Q4
Hits/60
3-yr 2.284.42Q1Q2Q3Q4
Blks/60
3-yr 2.611.41Q1Q2Q3Q4
By season — year over year
PIMs/60
1.4022-2323-2424-2525-26
Hits/60
3.7822-2323-2424-2525-26
Blks/60
2.5922-2323-2424-2525-26
Per-82 count — 3 seasons, 2025-26 halves & 26-27 projection
PIM
2722-2323-2424-25H1H226-27
all5v5
HITS
7222-2323-2424-25H1H226-27
all5v5
BLK
5222-2323-2424-25H1H226-27
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 4.42/60 and 2nd-half 4.59 vs a 3.78 season rate (2.28 3-yr) (47th pct league-wide) — reads as a real role/confidence step, so projected UP to 3.59/60, weighting the finish over the 3-yr baseline.
RiskBlocks tailing off: Q4 1.41/60 and 2nd-half 2.52 below the 2.59 season rate — projected DOWN to 2.49/60, weighting the recent decline over the 2.61 3-yr mark.