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Brady Smith Elite Prospects ↗

Position: Defense DOB: 2000-08-16 Country: USA
Connecticut
HockeyEast 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
2016-17 Central Illinois Flying Aces USHL 32 2 2 4 0.125 0.0737 0.0824 0.3754 0.4199
2017-18 Central Illinois Flying Aces USHL 49 3 4 7 0.143 0.0843 0.0901 0.4292 0.4588
2018-19 — USHL 56 4 9 13 0.232 0.1369 0.1393 0.6971 0.7092
2020-21 Lone Star Brahmas NAHL 30 2 9 11 0.367 0.1347 0.1347 0.3871 0.3871
■ 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
2019-20 Colorado College D1 NCHC — 24 1 0 1 0.042
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.04
2019-20 · Colorado College
-63.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
2%
NCAA D2/D3
48%
Pro / Other

NCAAe Rankings

#12704
Defenseman overall
#2183
Defenseman born in 2000

D1 Comparables

Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.16 Strong D
NCAAe PPG
Jake Bischoff
USHL · 2012-13 · 0.17 PPG
→ Minnesota (0.25 D1 FR PPG)
0.10 Average D
NCAAe PPG
Zach Yoder
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.31 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Doyle Somerby
USHL · 2012-13 · 0.20 PPG
→ Boston University (0.12 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.10 Strong D
NCAAe PPG

D2/3 Comparables

Jason Kalinowski
Endicott · 2013-14
1.310 Elite
actual D2/3 PPG
Ken McLean
Manhattanville · 2015-16
0.625 Average
actual D2/3 PPG
Cory Wilson
Lake Forest · 2000-01
0.731 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.