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Stevie Ray Adams Elite Prospects ↗

Position: Forward DOB: 1993-06-08 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
2010-11 Cornwall Colts CCHL 34 3 4 7 0.206 0.0447 0.0476 0.1593 0.1697
2011-12 — CCHL 48 14 9 23 0.479 0.1039 0.1053 0.3708 0.3759
2012-13 — CCHL 59 22 18 40 0.678 0.1471 0.1426 0.5246 0.5086
2013-14 Rockland Nationals CCHL 9 1 2 3 0.333 0.0723 0.0665 0.2579 0.2372
■ 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
2017-18 SUNY Morrisville D3 SUNYAC — 24 5 6 11 0.458
2016-17 SUNY Morrisville D3 SUNYAC — 16 3 3 6 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.38
2016-17 · SUNY Morrisville
+351.8% vs. projection

NCAAe Rankings

#34724
Forward overall
#1217
Forward born in 1993
#826
in CCHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Matt Connor
Curry · 2021-22
0.690 Strong
actual D2/3 PPG
Tyler Herzberg
Wisconsin-Eau Claire · 2022-23
0.393 Average
actual D2/3 PPG
Jimmy McCusker
Wisconsin-Eau Claire · 2009-10
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.