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Nathan Plessis Elite Prospects ↗

Position: Forward DOB: 1998-02-28 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
2015-16 Salmon Arm Silverbacks BCHL 1 0 0 0 0.000 — — — —
2016-17 Brooks Bandits AJHL 51 6 16 22 0.431 0.1447 0.1466 0.3992 0.4045
2017-18 Brooks Bandits AJHL 51 21 22 43 0.843 0.2828 0.2706 0.7802 0.7466
2018-19 Brooks Bandits AJHL 45 26 23 49 1.089 0.3652 0.3317 1.0077 0.9154
■ 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
2022-23 Brown D1 ECAC — 30 3 6 9 0.300
2021-22 Brown D1 ECAC — 31 3 4 7 0.226
2020-21 Brown D1 ECAC — 0 0 0 0 0.000
2019-20 Brown D1 ECAC FR 22 2 2 4 0.182
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.18
2019-20 · Brown
-30.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

60%
NCAA D1
5%
NCAA D2/D3
35%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#17531
Forward overall
#829
Forward born in 1998

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Reid Bibb
Buffalo State · 2016-17
0.963 Strong
actual D2/3 PPG
Tyler Dill
Utica · 2017-18
0.518 Average
actual D2/3 PPG
Travis Broughman
SUNY Oswego · 2017-18
0.852 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.