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Seth Bernard Elite Prospects ↗

Position: Forward DOB: 2002-05-01 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 Tabor NE-Prep 27 7 4 11 0.407 0.0786 0.0786 0.1864 0.1864
2021-22 New Hampshire Jr. Monarchs NCDC 43 5 6 11 0.256 0.0591 0.0585 0.2068 0.2046
■ 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 Milwaukee School of Engineering D3 NCHA SR 27 11 12 23 0.852
2024-25 Milwaukee School of Engineering D3 NCHA JR 24 8 6 14 0.583
2023-24 Milwaukee School of Engineering D3 NCHA SO 27 15 11 26 0.963
2022-23 Milwaukee School of Engineering D3 NCHA FR 21 4 2 6 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.29
2022-23 · Milwaukee School of Engineering
+401.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
0%
Club / ACHA
30%
Other

NCAAe Rankings

#40166
Forward overall
#2511
Forward born in 2002

D1 Comparables

William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

Bryce Grennan
UMass Dartmouth · 2018-19
0.000 No data
actual D2/3 PPG
Jared Hummel
Hamline · 2005-06
1.148 Elite
actual D2/3 PPG
Lance Malark
Wisconsin-River Falls · 2003-04
0.368 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.