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Cory Anderson Elite Prospects ↗

Position: Forward DOB: 1994-02-03 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 Notre Dame Hounds SJHL 50 9 5 14 0.280 0.0809 0.0831 0.2108 0.2164
2013-14 Notre Dame Hounds SJHL 47 17 6 23 0.489 0.1414 0.1377 0.3684 0.3588
2014-15 Notre Dame Hounds SJHL 55 23 17 40 0.727 0.2101 0.1936 0.5475 0.5045
■ 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 Manhattanville D3 UCHC SR 32 12 5 17 0.531
2017-18 Manhattanville D3 UCHC JR 26 10 6 16 0.615
2016-17 Manhattanville D3 UCHC SO 25 7 11 18 0.720
2015-16 Manhattanville D3 UCHC FR 23 7 10 17 0.739
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.74
2015-16 · Manhattanville
+404.2% vs. projection

NCAAe Rankings

#26179
Forward overall
#1057
Forward born in 1994
#911
in SJHL

D1 Comparables

Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Aidan Cavallini
NAHL · 2012-13 · 0.65 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Caleb Labrie
Becker · 2017-18
0.333 Developing
actual D2/3 PPG
Brandon Reinholz
Hamline · 2013-14
0.759 Strong
actual D2/3 PPG
Sean Perichak
SUNY Cortland · 2015-16
0.600 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.