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Brad Gardiner Elite Prospects ↗

Position: Forward DOB: 2005-03-06 Country: Canada
2023 · Round 3, Pick #79  ·  Dallas Stars Dallas Stars
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
2021-22 Ottawa 67's OHL 53 3 4 7 0.132 0.0764 0.0828 0.3459 0.3748
2022-23 Ottawa 67's OHL 68 19 20 39 0.574 0.3318 0.3452 1.5017 1.5621
2023-24 Ottawa 67's OHL 67 16 33 49 0.731 0.4231 0.4199 1.9148 1.9002
2024-25 Barrie Colts OHL 66 18 20 38 0.576 0.3331 0.3134 1.5077 1.4184
2025-26 Barrie Colts OHL 67 31 34 65 0.970 0.5612 0.4998 2.5401 2.2620
■ 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
2026-27 Cornell D1 ECAC FR 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
0%
NCAA D2/D3
48%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#7071
Forward overall
#242
Forward born in 2005
#373
in OHL

D1 Comparables

Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.47 Developing
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Lucas Signoretti
Buffalo State · 2024-25
1.120 Elite
actual D2/3 PPG
Ryan Woodward
SUNY Oswego · 2002-03
1.226 Elite
actual D2/3 PPG
Jared Goudreau
Southern New Hampshire · 2014-15
0.833 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.