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Sean Kacerosky Elite Prospects ↗

Position: Defense DOB: 1993-11-18 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 12 15 27 0.643 0.0941 0.0911 0.3152 0.3052
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
2017-18 SUNY Potsdam D3 SR 26 2 7 9 0.346
2016-17 SUNY Potsdam D3 JR 16 2 4 6 0.375
2015-16 SUNY Potsdam D3 SO 26 2 3 5 0.192
2014-15 SUNY Potsdam D3 FR 4 0 1 1 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
Actual FR PPG
0.25
2014-15 · SUNY Potsdam
+190.7% vs. projection

NCAAe Rankings

#5285
Defenseman overall
#827
Defenseman born in 1993
#638
in EHL

D1 Comparables

USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG

D2/3 Comparables

SUNY Brockport · 2008-09
0.615 Average
actual D2/3 PPG
New England · 2015-16
0.615 Average
actual D2/3 PPG
Gustavus Adolphus · 2016-17
0.500 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.