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Malcolm Gould Elite Prospects ↗

Position: Forward DOB: 1992-10-27 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
2009-10 Quesnel Millionaires BCHL 1 0 0 0 0.000 — — — —
2010-11 Quesnel Millionaires BCHL 57 14 17 31 0.544 0.2026 0.2124 0.7925 0.8307
2011-12 Chilliwack Chiefs BCHL 60 36 36 72 1.200 0.4470 0.4440 1.7485 1.7367
■ 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
2015-16 Michigan Tech D1 WCHA SR 37 9 17 26 0.703
2014-15 Michigan Tech D1 WCHA JR 38 14 17 31 0.816
2013-14 Michigan Tech D1 WCHA SO 21 6 3 9 0.429
2012-13 Michigan D1 CCHA-orig — 27 3 6 9 0.333
2012-13 Michigan Tech D1 — FR 27 3 6 9 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.33
2012-13 · Michigan
+10.8% vs. projection

NCAAe Rankings

#11906
Forward overall
#471
Forward born in 1992
#444
in BCHL

D1 Comparables

Robbie Baillargeon
USHL · 2012-13 · 0.75 PPG
→ Boston University (0.77 D1 FR PPG)
0.45 Strong
NCAAe PPG
Trevor Olson
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.16 D1 FR PPG)
0.48 Developing
NCAAe PPG
Joe Gambardella
USHL · 2012-13 · 0.75 PPG
→ UMass Lowell (0.24 D1 FR PPG)
0.45 Developing
NCAAe PPG
Villiam Haag
USHL · 2012-13 · 0.64 PPG
→ Michigan (0.37 D1 FR PPG)
0.38 Average
NCAAe PPG
Logan Nelson
WHL · 2012-13 · 0.88 PPG
→ Wisconsin-Stout (0.59 D1 FR PPG)
0.41 Strong
NCAAe PPG

D2/3 Comparables

Jason Yuel
Curry · 2005-06
1.769 Elite
actual D2/3 PPG
Colin Bella
Lake Forest · 2021-22
0.963 Strong
actual D2/3 PPG
Brian Berger
Marian · 2010-11
1.038 Elite
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.