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

Ian Moore Elite Prospects ↗

Position: Defense DOB: 2002-01-04 Country: USA
2020 · Round 3, Pick #67  ·  Anaheim Ducks Anaheim Ducks
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
2018-19 St. Marks NE-Prep 28 9 7 16 0.571 0.1132 0.1132 0.2603 0.2603
2019-20 St. Marks NE-Prep 27 11 27 38 1.407 0.2788 0.2788 — —
2020-21 — USHL 45 10 14 24 0.533 0.3146 0.3146 1.6017 1.6017
■ 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
2024-25 Harvard D1 ECAC SR 32 3 11 14 0.438
2023-24 Harvard D1 ECAC JR 21 3 5 8 0.381
2022-23 Harvard D1 ECAC SO 34 1 18 19 0.559
2021-22 Harvard D1 ECAC FR 35 2 13 15 0.429
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.43
2021-22 · Harvard
+113.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
78%
Other

NCAAe Rankings

#2947
Defenseman overall
#747
Defenseman born in 2002

D1 Comparables

Michael Kapla
USHL · 2012-13 · 0.49 PPG
→ UMass Lowell (0.41 D1 FR PPG)
0.29 Strong D
NCAAe PPG
Ruslan Pedan
USHL · 2012-13 · 0.33 PPG
→ Bemidji State (0.34 D1 FR PPG)
0.20 Strong D
NCAAe PPG
Gustav Olofsson
USHL · 2012-13 · 0.37 PPG
→ Colorado College (0.27 D1 FR PPG)
0.22 Average D
NCAAe PPG
Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.16 Strong D
NCAAe PPG
Will Butcher
USHL · 2012-13 · 0.50 PPG
→ Denver (0.42 D1 FR PPG)
0.30 Strong D
NCAAe PPG

D2/3 Comparables

Mike Sciore
SUNY Cortland · 2016-17
0.522 Average
actual D2/3 PPG
Ryan Murray
Daniel Webster · 2011-12
0.389 Average
actual D2/3 PPG
Ryan Pitoscia
Adrian · 2018-19
0.964 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.