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Jack McCandless Elite Prospects ↗

Position: Forward DOB: 2002-09-07 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
2019-20 Rochester Monarchs USPHL-Premier 4 3 3 6 1.500 0.1692 0.1692 0.5092 0.5092
2021-22 Jersey Hitmen USPHL-Premier 20 14 2 16 0.800 0.0902 0.0901 0.2716 0.2714
2022-23 Richmond Generals USPHL-Premier 43 18 19 37 0.861 0.0971 0.0923 0.2921 0.2776
■ 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 SUNY Potsdam D3 SUNYAC SO 20 3 1 4 0.200
2023-24 SUNY Potsdam D3 SUNYAC FR 25 1 1 2 0.080
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.08
2023-24 · SUNY Potsdam
2.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#18401
Forward overall
#974
Forward born in 2002
#1178
in USPHL-Premier

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Erick Galt
Concordia · 2007-08
0.440 Average
actual D2/3 PPG
Steven Pratt
St. Norbert · 2007-08
0.364 Average
actual D2/3 PPG
Mason Frary
SUNY Potsdam · 2024-25
0.000 No data
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.