IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Seamus Casey Elite Prospects ↗

Position: Defense DOB: 2004-01-08 Country: USA
2022 NHL Draft Round 2, Pick #46  ·  New Jersey Devils New Jersey Devils
Signed Professionally

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 — NTDP-U18 46 8 28 36 0.783 0.6068 0.6068 2.9128 2.9128
2021-22 — NTDP-U18 48 10 23 33 0.688 0.5331 0.5130 2.5588 2.4624
■ 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
2023-24 Michigan D1 BigTen — 40 7 38 45 1.125
2022-23 Michigan D1 BigTen — 37 8 21 29 0.784
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.53
before college
→
Actual FR PPG
0.78
2022-23 · Michigan
+48.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D1
2%
NCAA D2/D3
8%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

D1 Comparables

Will Butcher
NTDP-U18 · 2012-13 · 0.55 PPG
→ Denver (0.42 D1 FR PPG)
0.41 Strong D
NCAAe PPG
Matt Nuttle
USHL · 2012-13 · 0.67 PPG
→ Cornell
0.43 No data
NCAAe PPG
Ian McCoshen
USHL · 2012-13 · 0.83 PPG
→ Boston College (0.37 D1 FR PPG)
0.54 Strong D
NCAAe PPG
Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.37 Developing D
NCAAe PPG
Mark Friedman
USHL · 2012-13 · 0.55 PPG
→ Bowling Green (0.49 D1 FR PPG)
0.36 Strong D
NCAAe PPG

D2/3 Comparables

Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Jason Kalinowski
Endicott · 2015-16
1.310 Elite
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.