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Adam Moodie Elite Prospects ↗

Position: Forward DOB: 1995-06-27 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
2013-14 Collingwood Blues OJHL 50 10 13 23 0.460 0.1127 0.1149 0.3167 0.3230
2014-15 Collingwood Blues OJHL 54 10 18 28 0.518 0.1271 0.1230 0.3570 0.3456
■ 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
2018-19 Skidmore D1 SUNYAC SR 26 3 7 10 0.385
2018-19 Skidmore D3 SUNYAC SR 26 3 7 10 0.385
2017-18 Skidmore D3 SUNYAC JR 25 5 3 8 0.320
2016-17 Skidmore D3 SUNYAC SO 24 7 8 15 0.625
2015-16 Skidmore D3 SUNYAC FR 25 4 13 17 0.680
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.68
2015-16 · Skidmore
+563.4% vs. projection

NCAAe Rankings

#37141
Forward overall
#1526
Forward born in 1995
#2255
in OJHL

D1 Comparables

Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Luca Rea
Plymouth State · 2022-23
0.429 Average
actual D2/3 PPG
Cole Beckstead
Skidmore · 2017-18
0.400 Average
actual D2/3 PPG
Jon Chauvin
New England College · 2017-18
0.304 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.