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Hoyt Stanley Elite Prospects ↗

Position: Defense DOB: 2005-02-04 Country: Canada
2023 NHL Draft Round 4, Pick #108  ·  Ottawa Senators Ottawa Senators
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
Signed Professionally

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2021-22 — BCHL 13 0 1 1 0.077 0.0286 0.0317 0.1121 0.1244
2022-23 — BCHL 53 4 34 38 0.717 0.2671 0.2833 1.0447 1.1079
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Cornell D1 ECAC JR 34 3 12 15 0.441
2024-25 Cornell D1 ECAC SO 36 2 11 13 0.361
2023-24 Cornell D1 ECAC FR 35 2 8 10 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.29
2023-24 · Cornell
+65.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

D1 Comparables

Clark Kuster
USHL · 2012-13 · 0.47 PPG
→ St. Cloud State
0.30 No data
NCAAe PPG
Will Butcher
USHL · 2012-13 · 0.50 PPG
→ Denver (0.42 D1 FR PPG)
0.32 Strong D
NCAAe PPG
Jack Stander
USHL · 2012-13 · 0.33 PPG
→ Canisius (0.17 D1 FR PPG)
0.21 Average D
NCAAe PPG
Mark Auk
USHL · 2012-13 · 0.29 PPG
→ Michigan Tech (0.50 D1 FR PPG)
0.19 Elite D
NCAAe PPG
Matt Roy
USHL · 2012-13 · 0.30 PPG
→ Michigan Tech (0.25 D1 FR PPG)
0.19 Average D
NCAAe PPG

D2/3 Comparables

Brent Wold
Utica · 2010-11
1.000 Elite
actual D2/3 PPG
Ryan Kero
Saint John's · 2014-15
0.480 Average
actual D2/3 PPG
Cameron Wright
Stonehill · 2016-17
0.731 Strong
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.