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Sean Shepard Elite Prospects ↗

Position: Defense DOB: 1997-12-01 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
2016-17 Utica Jr. Comets USPHL-Premier-Classic 44 2 9 11 0.250 0.0702 0.0727 0.2059 0.2131
2017-18 Utica Jr. Comets NCDC 49 2 6 8 0.163 0.0377 0.0366 0.1320 0.1282
■ 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
2021-22 Canton D3 — SR 22 0 9 9 0.409
2019-20 Canton D1 — SO 23 2 4 6 0.261
2019-20 Canton D3 — SO 23 2 4 6 0.261
2018-19 Canton D1 — FR 25 2 8 10 0.400
2018-19 Canton D3 — FR 25 2 8 10 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.40
2018-19 · Canton
+729.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
12%
Other

NCAAe Rankings

#19883
Defenseman overall
#2582
Defenseman born in 1997

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG

D2/3 Comparables

Derek Donohue
St. Norbert · 2008-09
0.273 Developing
actual D2/3 PPG
Nathan Flynn
Augsburg · 2013-14
0.385 Average
actual D2/3 PPG
Matt Chisholm
Saint Anselm · 2016-17
0.333 Developing
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.