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Ryan Stevens Elite Prospects ↗

Position: Forward DOB: 1994-10-16 Country: USA
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
2012-13 Amarillo Bulls NAHL 2 2 1 3 1.500 0.5511 0.5836 1.5854 1.6789
2013-14 Amarillo Bulls NAHL 38 2 8 10 0.263 0.0967 0.0976 0.2782 0.2806
2014-15 Dubuque Fighting Saints USHL 20 2 2 4 0.200 0.1180 0.1091 0.6001 0.5547
■ 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 Plymouth State D1 LittleEast SR 26 12 25 37 1.423
2018-19 Plymouth State D3 LittleEast — 26 12 25 37 1.423
2017-18 Plymouth State D3 LittleEast — 25 10 27 37 1.480
2016-17 Plymouth State D3 LittleEast — 27 20 19 39 1.444
2015-16 Arizona State D1 NCHC FR 27 3 3 6 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.22
2015-16 · Arizona State
+148.3% vs. projection

NCAAe Rankings

#44031
Forward overall
#1771
Forward born in 1994

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Cole Skelly
New England College · 2016-17
0.500 Average
actual D2/3 PPG
Jon Groth
Wesleyan · 2023-24
0.000 No data
actual D2/3 PPG
Jonathan Grebosky
Concordia · 2013-14
0.769 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.