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Shawn Kennedy Elite Prospects ↗

Position: Forward DOB: 1999-02-09 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 Carleton Place Canadians CCHL 44 9 10 19 0.432 0.1232 0.1366 0.3343 0.3707
2016-17 Carleton Place Canadians CCHL 58 14 20 34 0.586 0.1673 0.1767 0.4538 0.4794
2017-18 — CCHL 30 6 12 18 0.600 0.1712 0.1720 0.4645 0.4667
2018-19 Aberdeen Wings NAHL 58 15 19 34 0.586 0.2177 0.2132 0.6207 0.6080
2019-20 Amarillo Wranglers NAHL 52 11 15 26 0.500 0.1857 0.1857 0.5294 0.5294
■ 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 Elmira D3 UCHC SR 28 13 26 39 1.393
2022-23 Elmira D3 UCHC JR 19 7 7 14 0.737
2021-22 Elmira D3 UCHC SO 26 17 12 29 1.115
2020-21 Elmira D3 UCHC FR 15 8 9 17 1.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
1.13
2020-21 · Elmira
+573.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D1
18%
NCAA D2/D3
45%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#21633
Forward overall
#856
Forward born in 1999

D1 Comparables

Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Evan Ritt
NAHL · 2012-13 · 0.67 PPG
→ Denver
0.24 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Ryan Dau
NAHL · 2012-13 · 0.41 PPG
→ Air Force (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

Mark Kishko
Lebanon Valley · 2017-18
0.250 Developing
actual D2/3 PPG
Marc Harrie
Concordia · 2007-08
0.800 Strong
actual D2/3 PPG
Kelby Lorenz
Southern Maine · 2011-12
0.750 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.