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C.J. Bachman Elite Prospects ↗

Position: Forward DOB: 2002-05-16 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
2020-21 Charlotte Rush USPHL-Premier 34 7 2 9 0.265 0.0299 0.0299 0.0901 0.0901
2021-22 Charlotte Rush USPHL-Premier 29 1 9 10 0.345 0.0389 0.0383 0.1173 0.1154
2022-23 Charlotte Rush USPHL-Premier 43 12 16 28 0.651 0.0735 0.0687 0.2215 0.2070
■ 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 Arcadia D3 MAC GR 19 0 3 3 0.158
2024-25 Arcadia D3 MAC SR 21 1 2 3 0.143
2023-24 Arcadia D3 MAC JR 17 1 1 2 0.118
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.12
2023-24 · Arcadia
+143.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#35930
Forward overall
#2183
Forward born in 2002
#3134
in USPHL-Premier

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
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

Mike McPherson
UMass Dartmouth · 2017-18
0.200 Developing
actual D2/3 PPG
Mitchell Watson
Manhattanville · 2021-22
0.538 Average
actual D2/3 PPG
Griffin Clark
Suffolk · 2018-19
0.364 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.