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Shane Bondy Elite Prospects ↗

Position: Forward DOB: 2004-04-25 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
2021-22 Markham Royals OJHL 52 5 8 13 0.250 0.0613 0.0654 0.1721 0.1836
2022-23 Markham Royals OJHL 52 6 13 19 0.365 0.0896 0.0910 0.2516 0.2555
2023-24 Markham Royals OJHL 40 11 19 30 0.750 0.1838 0.1771 0.5164 0.4976
■ 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
2025-26 SUNY Plattsburgh D3 SUNYAC SO 15 1 1 2 0.133
2024-25 SUNY Plattsburgh D3 SUNYAC FR 17 1 5 6 0.353
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.35
2024-25 · SUNY Plattsburgh
+189.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
25%
NCAA D2/D3
18%
Age-Out / Club
45%
Pro / Other

NCAAe Rankings

#36071
Forward overall
#2229
Forward born in 2004
#2129
in OJHL

D1 Comparables

Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Mitchell Parsons
SUNY Brockport · 2016-17
0.577 Average
actual D2/3 PPG
Luke Pepin
Salem State · 2018-19
0.579 Average
actual D2/3 PPG
Jake Drinkard
Lawrence · 2015-16
0.381 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.