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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 0.0698 0.0745 0.1725 0.1840
2022-23 Markham Royals OJHL 52 6 13 19 0.365 0.1021 0.1037 0.2522 0.2561
2023-24 Markham Royals OJHL 40 11 19 30 0.750 0.2095 0.2019 0.5176 0.4988
■ 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
0.14
before college
→
Actual FR PPG
0.35
2024-25 · SUNY Plattsburgh
+153.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
18%
NCAA D2/D3
38%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#28793
Forward overall
#1493
Forward born in 2004
#2529
in OJHL

D1 Comparables

Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG
Sami Salminen
NAHL · 2012-13 · 0.56 PPG
→ Northern Michigan (0.34 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tyler Poulsen
NAHL · 2012-13 · 0.60 PPG
→ Alabama-Huntsville (0.21 D1 FR PPG)
0.22 Developing
NCAAe PPG
Kyle Bauman
NAHL · 2012-13 · 0.70 PPG
→ Bemidji State (0.53 D1 FR PPG)
0.26 Average
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.24 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.