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Kevin Kerr Elite Prospects ↗

Position: Defense DOB: 1996-02-09 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
2012-13 Tri-City Storm USHL 5 0 0 0 0.000 — — — —
2013-14 Tri-City Storm USHL 53 1 9 10 0.189 0.1113 0.1157 0.5667 0.5890
2014-15 Tri-City Storm USHL 60 7 21 28 0.467 0.2753 0.2726 1.4017 1.3880
■ 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
2018-19 Penn State D1 BigTen SR 35 2 13 15 0.429
2017-18 Penn State D1 BigTen JR 20 1 9 10 0.500
2016-17 Penn State D1 BigTen SO 25 2 13 15 0.600
2015-16 Penn State D1 BigTen FR 37 3 14 17 0.460
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.46
2015-16 · Penn State
+132.0% vs. projection

NCAAe Rankings

#5968
Defenseman overall
#1065
Defenseman born in 1996
#2500
in USHL

D1 Comparables

Nolan Gluchowski
USHL · 2012-13 · 0.40 PPG
→ St. Lawrence (0.55 D1 FR PPG)
0.23 Elite D
NCAAe PPG
Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.22 Average D
NCAAe PPG
Dakota Mermis
OHL · 2012-13 · 0.41 PPG
→ Denver (0.21 D1 FR PPG)
0.23 Average D
NCAAe PPG
Justin Woods
USHL · 2012-13 · 0.32 PPG
→ Alaska Fairbanks (0.18 D1 FR PPG)
0.18 Average D
NCAAe PPG
Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.36 Developing D
NCAAe PPG

D2/3 Comparables

Tyler Blanchard
King's · 2018-19
0.913 Strong
actual D2/3 PPG
Ryan Bloom
University of New England · 2011-12
1.654 Elite
actual D2/3 PPG
Nicholas Stevens
Wisconsin-Stout · 2020-21
0.826 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.