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Corbin McPherson Elite Prospects ↗

Position: Defense DOB: 1988-09-07 Country: USA
2007 · Round 3, Pick #87  ·  New Jersey Devils New Jersey Devils
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
2006-07 Cowichan Valley Capitals BCHL 44 4 10 14 0.318 0.1226 0.1273 0.4631 0.4810
2007-08 Cowichan Valley Capitals BCHL 55 3 14 17 0.309 0.1191 0.1173 0.4498 0.4429
■ 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
2011-12 Colgate D1 ECAC SR 39 4 6 10 0.256
2010-11 Colgate D1 ECAC JR 41 4 6 10 0.244
2009-10 Colgate D1 ECAC SO 35 2 6 8 0.229
2008-09 Colgate D1 ECAC FR 37 0 5 5 0.135
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.14
2008-09 · Colgate
+18.0% vs. projection

NCAAe Rankings

#14710
Defenseman overall
#1442
Defenseman born in 1988
#2470
in BCHL

D1 Comparables

Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG

D2/3 Comparables

Martin Gruse
Saint Mary's (MN) · 2011-12
0.680 Strong
actual D2/3 PPG
Paul Prescott
Nichols · 2010-11
0.800 Strong
actual D2/3 PPG
Liam Lawson
SUNY Plattsburgh · 2015-16
0.640 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.