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Aaron Frenkel Elite Prospects ↗

Position: Forward DOB: 2000-08-24 Country: USA
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
2018-19 Smiths Falls Bears CCHL 53 1 5 6 0.113 0.0246 0.0255 0.0876 0.0909
2019-20 Smiths Falls Bears CCHL 10 1 3 4 0.400 0.0868 0.0868 0.3096 0.3096
2020-21 Tampa Bay Juniors USPHL-Premier 42 26 33 59 1.405 0.1585 0.1585 0.4779 0.4779
■ 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
2024-25 King's D3 MAC SR 8 0 0 0 0.000
2023-24 King's D3 MAC JR 25 7 7 14 0.560
2022-23 King's D3 MAC SO 22 3 1 4 0.182
2021-22 King's D3 MAC FR 22 7 11 18 0.818
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.02
before college
→
Actual FR PPG
0.82
2021-22 · King's
+3653.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
5%
NCAA D2/D3
85%
Pro / Other

NCAAe Rankings

#10859
Forward overall
#450
Forward born in 2000

D1 Comparables

Ryan Fitzgerald
NTDP-U18 · 2012-13 · 0.12 PPG
→ Boston College (0.72 D1 FR PPG)
0.09 Strong
NCAAe PPG
Cédric Lacroix
USHL · 2012-13 · 0.13 PPG
→ Maine (0.28 D1 FR PPG)
0.08 Developing
NCAAe PPG
Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Ian Mansfield
USHL · 2012-13 · 0.23 PPG
→ Army (0.23 D1 FR PPG)
0.14 Developing
NCAAe PPG
Bo Pieper
USHL · 2012-13 · 0.19 PPG
→ Quinnipiac (0.34 D1 FR PPG)
0.12 Developing
NCAAe PPG

D2/3 Comparables

Gustav Bengtson
Gustavus Adolphus · 2007-08
0.640 Average
actual D2/3 PPG
Josh Dickson
Nichols · 2018-19
0.154 Developing
actual D2/3 PPG
Evan Schmidbauer
Salve Regina · 2011-12
0.520 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.