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Corey Kennedy Elite Prospects ↗

Position: Forward DOB: 1995-01-15 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
2013-14 New York Bobcats EHL 42 13 26 39 0.929 0.1359 0.1394 0.4553 0.4672
2014-15 New York Bobcats EHL 43 12 33 45 1.046 0.1531 0.1499 0.5131 0.5025
2015-16 New York Bobcats EHL 41 18 48 66 1.610 0.2355 0.2203 0.7893 0.7382
■ 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
2019-20 Western New England D1 — SR 24 3 11 14 0.583
2019-20 Western New England D3 CNE — 24 3 11 14 0.583
2018-19 Western New England D1 — JR 25 4 15 19 0.760
2018-19 Western New England D3 CNE — 25 4 15 19 0.760
2017-18 Neumann D3 MAC — 22 3 10 13 0.591
2016-17 Neumann D3 MAC — 2 0 1 1 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.50
2016-17 · Neumann
+204.0% vs. projection

NCAAe Rankings

#6907
Forward overall
#350
Forward born in 1995
#49
in EHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Ryan McDonald
Framingham State · 2008-09
0.818 Strong
actual D2/3 PPG
Ethan James
Wisconsin-Superior · 2015-16
1.000 Elite
actual D2/3 PPG
Clint Olson
SUNY Geneseo · 2007-08
0.583 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.