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Brad McNeil Elite Prospects ↗

Position: Forward DOB: 2002-03-15 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
2020-21 Maryland Black Bears NAHL 43 5 6 11 0.256 0.1013 0.1013 0.2686 0.2686
2021-22 Maryland Black Bears NAHL 60 10 19 29 0.483 0.1915 0.1889 0.5074 0.5005
2022-23 Maryland Black Bears NAHL 59 17 38 55 0.932 0.3693 0.3461 0.9787 0.9173
■ 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 RPI D1 ECAC GR 24 1 0 1 0.042
2024-25 RPI D1 ECAC SR 35 2 3 5 0.143
2023-24 RPI D1 ECAC JR 36 4 4 8 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.22
2023-24 · RPI
-8.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
5%
NCAA D2/D3
45%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#20928
Forward overall
#1140
Forward born in 2002
#1444
in NAHL

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Travis Broughman
SUNY Oswego · 2017-18
0.852 Strong
actual D2/3 PPG
Drew Iannucci
Arcadia · 2021-22
0.920 Strong
actual D2/3 PPG
Reid Bibb
Buffalo State · 2016-17
0.963 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.