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

Christopher Innes Elite Prospects ↗

Position: Defense DOB: 2003-05-27 Country: Canada
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 — NOJHL 10 0 0 0 0.000 — — — —
2020-21 Timmins Rock NOJHL 3 0 1 1 0.333 0.0568 0.0568 0.1413 0.1413
2021-22 Greater Sudbury Cubs NOJHL 38 2 16 18 0.474 0.0807 0.0819 0.2008 0.2039
2022-23 Greater Sudbury Cubs NOJHL 39 3 23 26 0.667 0.1135 0.1104 0.2825 0.2747
2023-24 Greater Sudbury Cubs NOJHL 40 3 30 33 0.825 0.1405 0.1292 0.3496 0.3216
■ 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 Concordia D3 MIAC — 3 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
10%
NCAA D2/D3
40%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#9364
Defenseman overall
#2093
Defenseman born in 2003
#494
in NOJHL

D1 Comparables

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
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 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
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG

D2/3 Comparables

Trevor Coykendall
Adrian · 2017-18
0.500 Average
actual D2/3 PPG
Connor Movalli
Wilkes · 2024-25
0.333 Developing
actual D2/3 PPG
Lance Malark
Wisconsin-River Falls · 2004-05
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.