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Brad Norkum Elite Prospects ↗

Position: Defense DOB: 1989-04-19 Country: Canada
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
2005-06 Abitibi Eskimos NOJHL 3 0 0 0 0.000 — — — —
2006-07 North Bay Skyhawks NOJHL 44 6 11 17 0.386 0.0550 0.0594 0.1609 0.1737
2007-08 North Bay Skyhawks NOJHL 46 12 20 32 0.696 0.0991 0.1013 0.2897 0.2961
2008-09 North Bay Skyhawks NOJHL 33 4 14 18 0.545 0.0777 0.0754 0.2271 0.2204
■ 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
2012-13 Westfield State D3 MASCAC SR 20 1 2 3 0.150
2011-12 Westfield State D3 MASCAC JR 14 3 2 5 0.357
2010-11 Westfield State D3 MASCAC SO 23 2 10 12 0.522
2009-10 Westfield State D3 MASCAC FR 26 2 8 10 0.385
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.38
2009-10 · Westfield State
+374.8% vs. projection

NCAAe Rankings

#12640
Defenseman overall
#1332
Defenseman born in 1989
#713
in NOJHL

D1 Comparables

Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG

D2/3 Comparables

Grant Rinke
Salve Regina · 2017-18
0.000 No data
actual D2/3 PPG
JC Humphreys
SUNY Cortland · 2023-24
0.481 Average
actual D2/3 PPG
Cody Guidorzi
Lake Forest · 2014-15
0.294 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.