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Adam Jeffery Elite Prospects ↗

Position: Forward DOB: 2001-05-08 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
2020-21 Alberni Valley Bulldogs BCHL 20 8 11 19 0.950 0.3660 0.3660 1.3825 1.3825
2021-22 Cowichan Valley Capitals BCHL 4 6 1 7 1.750 0.6743 0.6219 2.5468 2.3488
■ 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 RIT D1 AHA SR 27 0 3 3 0.111
2024-25 RIT D1 AHA JR 26 1 2 3 0.115
2023-24 RIT D1 AHA SO 11 1 1 2 0.182
2022-23 RIT D1 AHA FR 16 2 0 2 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.58
before college
→
Actual FR PPG
0.12
2022-23 · RIT
-78.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
0%
NCAA D2/D3
22%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#11900
Forward overall
#546
Forward born in 2001
#381
in BCHL

D1 Comparables

Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG
Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.65 Elite
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.48 No data
NCAAe PPG

D2/3 Comparables

Jason Yuel
Curry · 2006-07
1.769 Elite
actual D2/3 PPG
Jason Kalinowski
Endicott · 2015-16
1.310 Elite
actual D2/3 PPG
Donny Flynn
Wilkes · 2016-17
1.423 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.