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Jeffrey Gauld Elite Prospects ↗

Position: Forward DOB: 1997-09-15 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
2014-15 Cobourg Cougars OJHL 4 0 2 2 0.500 0.1397 0.1508 0.3451 0.3724
2015-16 Haliburton County Huskies OJHL 50 8 10 18 0.360 0.1006 0.1030 0.2484 0.2543
2016-17 Haliburton County Huskies OJHL 52 18 13 31 0.596 0.1666 0.1631 0.4114 0.4028
2017-18 Haliburton County Huskies OJHL 15 4 4 8 0.533 0.1490 0.1387 0.3680 0.3426
■ 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
2018-19 Canton D3 — FR 11 3 6 9 0.818
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.82
2018-19 · Canton
+543.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

0%
NCAA D1
30%
NCAA D2/D3
70%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#28793
Forward overall
#1273
Forward born in 1997
#2529
in OJHL

D1 Comparables

Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Matteo Peca
Post · 2021-22
0.000 No data
actual D2/3 PPG
Jared Bromberg
Gustavus Adolphus · 2015-16
0.000 No data
actual D2/3 PPG
Tino Alunni
Lebanon Valley · 2017-18
0.423 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.