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Brendan Rylott Elite Prospects ↗

Position: Forward DOB: 1999-07-06 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
2016-17 Wellington Dukes OJHL 37 1 1 2 0.054 0.0163 0.0174 0.0370 0.0396
2018-19 — OJHL 32 5 5 10 0.312 0.0939 0.0913 0.2139 0.2080
2019-20 Burlington Cougars OJHL 51 14 21 35 0.686 0.2062 0.2062 0.4698 0.4698
■ 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
2023-24 Stevenson D3 MAC SR 27 3 12 15 0.556
2022-23 Stevenson D3 MAC JR 23 3 11 14 0.609
2021-22 Stevenson D3 MAC SO 26 7 10 17 0.654
2020-21 Stevenson D1 — FR 13 1 3 4 0.308
2020-21 Stevenson D3 MAC FR 13 1 3 4 0.308
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.31
2020-21 · Stevenson
+482.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
8%
NCAA D2/D3
22%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#33680
Forward overall
#1830
Forward born in 1999
#2317
in OJHL

D1 Comparables

Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
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)
0.20 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG

D2/3 Comparables

Tyler Nyman
Hamline · 2016-17
0.480 Average
actual D2/3 PPG
Eric Johansson
Endicott · 2017-18
0.545 Average
actual D2/3 PPG
Matt Rowe
Lebanon Valley · 2003-04
0.440 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.