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Ryan Bottrill Elite Prospects ↗

Position: Forward DOB: 2002-02-04 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
2019-20 Janesville Jets NAHL 33 0 6 6 0.182 0.0668 0.0668 0.1919 0.1919
2020-21 South Shore Kings NCDC 33 15 23 38 1.151 0.4695 0.4695 0.9256 0.9256
2021-22 Maryland Black Bears NAHL 59 17 42 59 1.000 0.3674 0.3604 1.0555 1.0355
■ 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
2025-26 Clarkson D1 ECAC SR 38 9 27 36 0.947
2024-25 Clarkson D1 ECAC — 39 8 11 19 0.487
2023-24 Brown D1 ECAC — 30 3 16 19 0.633
2022-23 Brown D1 ECAC — 30 6 15 21 0.700
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
→
Actual FR PPG
0.70
2022-23 · Brown
+126.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
2%
NCAA D2/D3
25%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#8211
Forward overall
#390
Forward born in 2002
#142
in NAHL

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.36 Developing
NCAAe PPG

D2/3 Comparables

Josh Hechter
Saint Anselm · 2001-02
1.375 Elite
actual D2/3 PPG
Cullen Bradshaw
St. Norbert · 2009-10
0.968 Strong
actual D2/3 PPG
Richard Manley
SUNY Geneseo · 2009-10
1.150 Elite
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.