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Brody Spencer-Ha Elite Prospects ↗

Position: Forward DOB: 2003-12-12 Country: Canada
No commitment set

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 Okotoks Oilers AJHL 50 2 13 15 0.300 0.1006 0.1058 0.2780 0.2924
2022-23 — AJHL 49 6 10 16 0.327 0.1095 0.1097 0.3026 0.3033
2023-24 Drayton Valley Thunder AJHL 39 6 8 14 0.359 0.1204 0.1150 0.3327 0.3178
■ 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
2024-25 SUNY Plattsburgh D3 SUNYAC FR 16 2 2 4 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.25
2024-25 · SUNY Plattsburgh
+158.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
30%
NCAA D2/D3
48%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#44205
Forward overall
#2862
Forward born in 2003
#1776
in AJHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Daniel Litchke
Wisconsin-Superior · 2014-15
0.778 Strong
actual D2/3 PPG
Nick Techel
Wisconsin-Eau Claire · 2018-19
0.480 Average
actual D2/3 PPG
Eddie Matsushima
Wisconsin-River Falls · 2013-14
0.536 Average
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.