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Jacob Brockman Elite Prospects ↗

Position: Forward DOB: 2001-05-03 Country: USA
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
2019-20 West Kelowna Warriors BCHL 54 2 7 9 0.167 0.0642 0.0642 0.2426 0.2426
2020-21 Cowichan Valley Capitals BCHL 18 4 10 14 0.778 0.2997 0.2997 1.1319 1.1319
2021-22 Maryland Black Bears NAHL 52 12 19 31 0.596 0.2190 0.2065 0.6293 0.5935
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 Aurora D3 NCHA SR 31 8 14 22 0.710
2024-25 Aurora D3 NCHA JR 27 11 15 26 0.963
2023-24 Aurora D3 NCHA SO 23 5 7 12 0.522
2022-23 Aurora D3 NCHA FR 25 5 9 14 0.560
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
Actual FR PPG
0.56
2022-23 · Aurora
+216.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
8%
NCAA D2/D3
52%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#26110
Forward overall
#1338
Forward born in 2001

D1 Comparables

USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Milwaukee School of Engineering · 2022-23
0.731 Strong
actual D2/3 PPG
Trinity · 2021-22
0.520 Average
actual D2/3 PPG
SUNY Geneseo · 2014-15
0.500 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.