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Angus Crookshank Elite Prospects ↗

Position: Forward DOB: 1999-10-02 Country: Canada
2018 · Round 4, Pick #126  ·  Ottawa Senators Ottawa Senators
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
2015-16 — BCHL 4 1 0 1 0.250 0.0963 0.1104 0.3638 0.4169
2016-17 — BCHL 31 9 12 21 0.677 0.2610 0.2858 0.9858 1.0794
2017-18 — BCHL 42 22 23 45 1.071 0.4128 0.4321 1.5592 1.6323
■ 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
2020-21 New Hampshire D1 HockeyEast JR 20 9 9 18 0.900
2019-20 New Hampshire D1 HockeyEast SO 34 16 6 22 0.647
2018-19 New Hampshire D1 HockeyEast FR 36 10 13 23 0.639
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.32
before college
→
Actual FR PPG
0.64
2018-19 · New Hampshire
+99.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

62%
NCAA D1
0%
NCAA D2/D3
38%
Pro / Other

NCAAe Rankings

D1 Comparables

Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.41 Developing
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.39 Developing
NCAAe PPG
Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.48 Average
NCAAe PPG
Alex Roos
USHL · 2012-13 · 0.73 PPG
→ Colorado College (0.49 D1 FR PPG)
0.44 Average
NCAAe PPG
C.J. Smith
NAHL · 2012-13 · 0.98 PPG
→ UMass Lowell (0.90 D1 FR PPG)
0.38 Elite
NCAAe PPG

D2/3 Comparables

John Moncovich
Utica · 2016-17
0.864 Strong
actual D2/3 PPG
Chris Atkinson
Curry · 2005-06
0.962 Strong
actual D2/3 PPG
Caden Smith
Chatham · 2019-20
1.292 Elite
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.