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Gavin Gould Elite Prospects ↗

Position: Forward DOB: 1996-04-27 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
2013-14 Merritt Centennials BCHL 57 13 16 29 0.509 0.1960 0.2106 0.7405 0.7958
2014-15 Merritt Centennials BCHL 58 24 34 58 1.000 0.3853 0.3961 1.4553 1.4962
2015-16 — BCHL 54 28 39 67 1.241 0.4780 0.4658 1.8056 1.7596
■ 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
2020-21 Bowling Green D1 WCHA SR 21 3 10 13 0.619
2018-19 Michigan Tech D1 WCHA JR 34 7 5 12 0.353
2017-18 Michigan Tech D1 WCHA SO 44 14 15 29 0.659
2016-17 Michigan Tech D1 WCHA FR 33 12 11 23 0.697
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.37
before college
→
Actual FR PPG
0.70
2016-17 · Michigan Tech
+85.9% vs. projection

NCAAe Rankings

#10797
Forward overall
#441
Forward born in 1996
#321
in BCHL

D1 Comparables

Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.48 Average
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Roman Ammirato
Utica · 2012-13
1.296 Elite
actual D2/3 PPG
Bailey Conger
UMass Boston · 2016-17
2.500 Elite
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.