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Cory Lauer Elite Prospects ↗

Position: Defense DOB: 1993-11-09 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
2011-12 Vaughan Vipers OJHL 28 1 2 3 0.107 0.0263 0.0273 0.0737 0.0766
2012-13 Pickering Panthers OJHL 51 1 6 7 0.137 0.0337 0.0333 0.0944 0.0934
2013-14 Toronto Patriots OJHL 43 2 9 11 0.256 0.0627 0.0588 0.1759 0.1651
■ 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 Cortland D3 SUNYAC SR 24 0 2 2 0.083
2016-17 SUNY Cortland D3 SUNYAC JR 24 3 3 6 0.250
2015-16 SUNY Cortland D3 SUNYAC SO 24 0 1 1 0.042
2014-15 SUNY Cortland D3 SUNYAC FR 24 1 3 4 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.17
2014-15 · SUNY Cortland
+263.2% vs. projection

NCAAe Rankings

#25073
Defenseman overall
#2186
Defenseman born in 1993
#4623
in OJHL

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG

D2/3 Comparables

Jackson Bisson
Saint John's · 2022-23
0.417 Average
actual D2/3 PPG
Sebastian Vaillancourt
Hamline · 2018-19
0.000 No data
actual D2/3 PPG
Ryan Griffiths
Saint Mary's (MN) · 2009-10
0.200 Developing
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.