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Bryan Gilman Elite Prospects ↗

Position: Defense DOB: 2002-04-11 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
2021-22 La Ronge Ice Wolves SJHL 53 5 16 21 0.396 0.1015 0.0998 0.2987 0.2936
2022-23 Austin Bruins NAHL 53 1 5 6 0.113 0.0416 0.0391 0.1195 0.1124
■ 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 St. Norbert D3 NCHA GR 31 3 10 13 0.419
2024-25 St. Norbert D3 NCHA SR 29 3 4 7 0.241
2023-24 St. Norbert D3 NCHA JR 28 1 5 6 0.214
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.21
2023-24 · St. Norbert
+258.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
10%
NCAA D2/D3
55%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#21080
Defenseman overall
#3390
Defenseman born in 2002

D1 Comparables

Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG

D2/3 Comparables

Alex North
Saint Mary's (MN) · 2007-08
0.158 Developing
actual D2/3 PPG
Gavin Dach
Assumption · 2023-24
0.158 Developing
actual D2/3 PPG
Albert Lian
Manhattanville · 2023-24
0.000 No data
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.