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Alexander Kerfoot Elite Prospects ↗

Position: Forward DOB: 1994-08-11 Country: Canada
2012 · Round 5, Pick #150  ·  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
2010-11 — BCHL 5 0 0 0 0.000 — — — —
2011-12 — BCHL 51 25 44 69 1.353 0.5213 0.5644 1.9689 2.1316
2012-13 — BCHL 16 8 11 19 1.188 0.4575 0.4737 1.7282 1.7893
■ 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
2016-17 Harvard D1 ECAC SR 36 16 29 45 1.250
2015-16 Harvard D1 ECAC JR 33 4 30 34 1.030
2014-15 Harvard D1 ECAC SO 27 8 22 30 1.111
2013-14 Harvard D1 ECAC FR 25 8 6 14 0.560
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.47
before college
→
Actual FR PPG
0.56
2013-14 · Harvard
+18.0% vs. projection

NCAAe Rankings

#6661
Forward overall
#323
Forward born in 1994
#88
in BCHL

D1 Comparables

Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.48 Average
NCAAe PPG
Justin Greenberg
NAHL · 2012-13 · 0.95 PPG
→ Miami (0.24 D1 FR PPG)
0.37 Developing
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.39 Developing
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.41 Developing
NCAAe PPG
Grant Besse
USHL · 2012-13 · 0.57 PPG
→ Wisconsin (0.39 D1 FR PPG)
0.34 Average
NCAAe PPG

D2/3 Comparables

Paul Rodrigues
SUNY Oswego · 2007-08
0.893 Strong
actual D2/3 PPG
Craig Kennedy
Hamilton · 2000-01
1.353 Elite
actual D2/3 PPG
Colin Bella
Lake Forest · 2021-22
0.963 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.