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Garrett Brown Elite Prospects ↗

Position: Defense DOB: 2004-04-04 Country: USA
2022 · Round 4, Pick #99  ·  Winnipeg Jets Winnipeg Jets
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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
2020-21 — USHL 1 0 0 0 0.000 — — — —
2021-22 — USHL 62 4 12 16 0.258 0.1523 0.1597 0.7745 0.8120
2022-23 — USHL 54 3 15 18 0.333 0.1966 0.1959 1.0001 0.9965
■ 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 Denver D1 NCHC JR 34 2 12 14 0.412
2024-25 Denver D1 NCHC — 42 2 6 8 0.191
2023-24 Denver D1 NCHC — 8 0 4 4 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.50
2023-24 · Denver
+191.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

82%
NCAA D1
0%
NCAA D2/D3
8%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#7865
Defenseman overall
#1841
Defenseman born in 2004
#3093
in USHL

D1 Comparables

Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.22 Average D
NCAAe PPG
Tim Davison
USHL · 2012-13 · 0.23 PPG
→ Wisconsin
0.13 No data
NCAAe PPG
Jeff Taylor
USHL · 2012-13 · 0.47 PPG
→ Union (0.39 D1 FR PPG)
0.28 Strong D
NCAAe PPG
Zach Frye
USHL · 2012-13 · 0.19 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.11 Average D
NCAAe PPG
Garret Cockerill
USHL · 2012-13 · 0.26 PPG
→ Northeastern (0.41 D1 FR PPG)
0.15 Strong D
NCAAe PPG

D2/3 Comparables

Colin Fitzpatrick
Saint Anselm · 2025-26
1.000 Elite
actual D2/3 PPG
Elliott Altberg
Hamilton · 2000-01
0.960 Strong
actual D2/3 PPG
James Pelton
UMass Dartmouth · 2015-16
0.615 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.