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Casey Brown Elite Prospects ↗

Position: Forward DOB: 2006-02-20 Country: Canada
Arizona State
NCHC D1

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
2022-23 Kindersley Klippers SJHL 3 0 1 1 0.333 0.0963 0.1084 0.2509 0.2825
2024-25 Moose Jaw Warriors WHL 41 3 5 8 0.195 0.0949 0.0935 0.4762 0.4692
2025-26 Moose Jaw Warriors WHL 66 22 16 38 0.576 0.2800 0.2629 1.4054 1.3196
■ 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
2004-05 Elmira D3 — FR 1 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
12%
NCAA D2/D3
45%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#22630
Forward overall
#1115
Forward born in 2006

D1 Comparables

Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Stanislav Dzakhov
NAHL · 2012-13 · 0.69 PPG
→ Niagara (0.44 D1 FR PPG)
0.25 Average
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.31 Average
NCAAe PPG
Evan Ritt
NAHL · 2012-13 · 0.67 PPG
→ Denver
0.24 No data
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.30 Developing
NCAAe PPG

Arizona State Alumni similar profiles who attended this school

Teddy Lagerback
USHS-MN 2019-20
0.23
actual FR PPG at Arizona State
Brett Gruber
USHL 2015-16
0.44
actual FR PPG at Arizona State
Jax Murray
NAHL 2018-19
0.00
actual FR PPG at Arizona State
Jack Rowe
USHL 2013-14
0.21
actual FR PPG at Arizona State

D2/3 Comparables

Patrick Noonan
Southern Maine · 2021-22
1.133 Elite
actual D2/3 PPG
Robbie Murden
Hamilton · 2011-12
1.091 Elite
actual D2/3 PPG
Justin Joy
SUNY Plattsburgh · 2001-02
0.966 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.